Wang, Lei Prof.

Selected Publications

• Journal Article

  Year	Title
  2022	A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification Published In IEEE Transactions on Multimedia
  2022	A defect detection system for wire arc additive manufacturing using incremental learning Published In Journal of Industrial Information Integration
  2022	ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease Published In Pattern Recognition
  2022	Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification Published In IEEE Transactions on Circuits and Systems for Video Technology
  2022	Automated Radiographic Report Generation Purely On Transformer: A Multi-criteria Supervised Approach Published In IEEE Transactions on Medical Imaging
  2022	Dataset-driven Unsupervised Object Discovery for Region-based Instance Image Retrieval Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2022	Diffusion Kernel Attention Network for Brain Disorder Classification Published In IEEE Transactions on Medical Imaging
  2022	Dual-scale correlation analysis for robust multi-label classification Published In Applied Intelligence
  2022	From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition Published In IEEE Transactions on Affective Computing
  2022	Towards intelligent monitoring system in wire arc additive manufacturing: a surface anomaly detector on a small dataset Published In International Journal of Advanced Manufacturing Technology
  2021	A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition Published In IEEE Transactions on Cognitive and Developmental Systems
  2021	GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification Published In ACM Transactions on Multimedia Computing, Communications and Applications
  2021	Interactive medical image segmentation via a point-based interaction Published In Artificial Intelligence in Medicine
  2021	SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation Published In IEEE Transactions on Medical Imaging
  2021	The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information integration Published In Journal of Industrial Information Integration
  2021	Visual place recognition: A survey from deep learning perspective Published In Pattern Recognition
  2020	3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Published In IEEE Transactions on Medical Imaging
  2020	A Joint Local and Global Deep Metric Learning Method for Caricature Recognition Published In Lecture Notes in Computer Science
  2020	A Probabilistic Approach to Cross-region Matching based Image Retrieval Published In IEEE Transactions on Image Processing
  2020	Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2020	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	Phosphorus-Modulation-Triggered Surface Disorder in Titanium Dioxide Nanocrystals Enables Exceptional Sodium-Storage Performance Published In Angewandte Chemie
  2020	Silica-Mediated Formation of Nickel Sulfide Nanosheets on CNT Films for Versatile Energy Storage Published In Small
  2020	Stability analysis of transfer alignment filter based on the µ theory Published In Computers, Materials and Continua
  2020	The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. Published In IEEE transactions on pattern analysis and machine intelligence
  2020	A Framework towards Data Analysis on Host-Pathogen Protein-Protein Interactions Published In Journal of Ambient Intelligence and Humanized Computing
  2020	A novel design of mechanical switch for the high overload environment Published In Computers, Materials and Continua
  2020	APEX2S: A Two-Layer Machine Learning Model for Discovery of host-pathogen protein-protein Interactions on Cloud-based Multiomics Data Published In Concurrency and Computation: Practice and Experience
  2020	Absent Multiple Kernel Learning Algorithms Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2020	Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis Published In IEEE Transactions on Medical Imaging
  2020	Beyond Covariance: SICE and Kernel Based Visual Feature Representation Published In International Journal of Computer Vision
  2020	Deep learning based HEp-2 image classification: A comprehensive review Published In Medical Image Analysis
  2020	Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches Published In International Journal of Applied Earth Observation and Geoinformation
  2020	General Synthesis of Single-Atom Catalysts for Hydrogen Evolution Reactions and Room-Temperature Na-S Batteries Published In Angewandte Chemie - International Edition
  2020	General Synthesis of Single-Atom Catalysts for Hydrogen Evolution Reactions and Room-Temperature Na-S Batteries Published In Angewandte Chemie
  2020	Medical Image Synthesis via Deep Learning Published In Advances in experimental medicine and biology
  2020	Multiple Kernel k-Means with Incomplete Kernels Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2020	Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification Published In IEEE Transactions on Circuits and Systems for Video Technology
  2020	Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2020	Systematic evaluation of machine-learning methods for identifying human-pathogen protein-protein interactions Published In Briefings in Bioinformatics
  2020	The identification of the wind parameters based on the interactive multi-models Published In Computers, Materials and Continua
  2020	What Can Artificial Intelligence Offer Coral Reef Managers? Published In Frontiers in Marine Science
  2019	3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Published In IEEE Transactions on Medical Imaging
  2019	A Joint Local and Global Deep Metric Learning Method for Caricature Recognition Published In Lecture Notes in Computer Science
  2019	A Probabilistic Approach to Cross-region Matching based Image Retrieval Published In IEEE Transactions on Image Processing
  2019	Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2019	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	Phosphorus-Modulation-Triggered Surface Disorder in Titanium Dioxide Nanocrystals Enables Exceptional Sodium-Storage Performance Published In Angewandte Chemie
  2019	Silica-Mediated Formation of Nickel Sulfide Nanosheets on CNT Films for Versatile Energy Storage Published In Small
  2019	Stability analysis of transfer alignment filter based on the µ theory Published In Computers, Materials and Continua
  2019	The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. Published In IEEE transactions on pattern analysis and machine intelligence
  2018	3D conditional generative adversarial networks for high-quality PET image estimation at low dose Published In NeuroImage
  2018	Calibrated Multi-label Classification with Label Correlations Published In Neural Processing Letters
  2018	DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2018	Graph-Based Place Recognition in Image Sequences with CNN Features Published In Journal of Intelligent and Robotic Systems: theory and applications
  2018	Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation Published In IEEE Transactions on Neural Networks and Learning Systems
  2018	Integrative radiomics expression predicts molecular subtypes of primary clear cell renal cell carcinoma. Published In Clinical radiology
  2018	Late Fusion Incomplete Multi-view Clustering Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2018	Locality adaptive multi-modality GANs for high-quality PET image synthesis Published In Lecture Notes in Computer Science
  2018	Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey Published In IEEE Access
  2017	A Graph-Embedding Approach to Hierarchical Visual Word Mergence Published In IEEE Transactions on Neural Networks and Learning Systems
  2017	Compositional Model Based Fisher Vector Coding for Image Classification Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2017	Detection and Separation of Smoke from Single Image Frames Published In IEEE Transactions on Image Processing
  2017	HEp-2 Cell Image Classification with Deep Convolutional Neural Networks Published In IEEE Journal of Biomedical and Health Informatics
  2017	LiFePO4 quantum-dots composite synthesized by a general microreactor strategy for ultra-high-rate lithium ion batteries Published In Nano Energy
  2017	OPML: A one-pass closed-form solution for online metric learning Published In Pattern Recognition
  2017	Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity Published In Pattern Recognition
  2017	Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model Published In IEEE Transactions on Multimedia
  2016	A generalized probabilistic framework for compact codebook creation Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2016	Exploring multifractal-based features for mild Alzheimer's disease classification Published In Magnetic Resonance in Medicine
  2016	Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis Published In SIGNAL PROCESSING-IMAGE COMMUNICATION
  2016	Learning Discriminative Stein Kernel for SPD Matrices and Its Applications Published In IEEE Transactions on Neural Networks and Learning Systems
  2016	Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging data Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2016	Social friend recommendation based on multiple network correlation Published In IEEE Transactions on Multimedia
  2015	An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction Published In Pattern Recognition
  2015	Computation over fading multiple-access channels based on free deconvolution Published In IET Wireless Sensor Systems
  2015	Density maximization for improving graph matching with its applications Published In IEEE Transactions on Image Processing
  2015	Functional brain network classification with compact representation of SICE matrices Published In IEEE Transactions on Biomedical Engineering
  2015	Multiple kernel extreme learning machine Published In Neurocomputing
  2015	Sensors for robotics 2015 Published In Journal of Sensors
  2014	A hierarchical word-merging algorithm with class separability measure Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2014	DOTAP functionalizing single-walled carbon nanotubes as non-viral vectors for efficient intracellular siRNA delivery. Published In Drug delivery
  2014	Efficient dual approach to distance metric learning Published In IEEE Transactions on Neural Networks and Learning Systems
  2014	Global and local structure preservation for feature selection Published In IEEE Transactions on Neural Networks and Learning Systems
  2014	HEp-2 cell image classification with convolutional neural networks Published In Proceedings - 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, I3A Workshop 2014
  2014	HEp-2 cell image classification with multiple linear descriptors Published In Pattern Recognition
  2014	Max-margin based learning for discriminative Bayesian network from neuroimaging data Published In Lecture Notes in Computer Science
  2014	Progressive mode-seeking on graphs for sparse feature matching Published In Lecture Notes in Computer Science
  2014	Smoke detection in video: an image separation approach Published In International Journal of Computer Vision
  2013	An adaptive approach to learning optimal neighborhood kernels Published In IEEE Transactions on Cybernetics
  2013	An efficient approach to integrating radius information into multiple kernel learning Published In IEEE Transactions on Cybernetics
  2013	Learning with multi-resolution overlapping communities Published In Knowledge and Information Systems
  2013	On similarity preserving feature selection Published In IEEE Transactions on Knowledge and Data Engineering
  2013	Sensors for robotics Published In Journal of Sensors
  2012	Incorporation of radius-info can be simple with SimpleMKL Published In Neurocomputing
  2012	Positive semidefinite metric learning using boosting-like algorithms Published In Journal of Machine Learning Research
  2011	Pipeline reconstruction from fisheye images Published In Journal of WSCG
  2010	Feature selection with redundancy-constrained class separability Published In IEEE Transactions on Neural Networks and Learning Systems
  2010	Hippocampal shape classification using redundancy constrained feature selection Published In Lecture Notes in Computer Science
  2010	Scalable large-margin mahalanobis distance metric learning Published In IEEE Transactions on Neural Networks and Learning Systems
  2009	Identifying anatomical shape difference by regularized discriminative direction Published In IEEE Transactions on Medical Imaging
  2008	Feature selection with kernel class separability Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2008	A kernel-induced space selection approach to model selection of KLDA Published In IEEE Transactions on Neural Networks and Learning Systems
  2008	AdaBoost with SVM-based component classifiers Published In Engineering Applications of Artificial Intelligence
  2008	Two criteria for model selection of multiclass support vector machines Published In IEEE Transactions on Cybernetics
  2007	Discovering prediction model for environmental distribution maps Published In Lecture Notes in Computer Science
  2007	Feature subset selection for multi-class SVM based image classification Published In Lecture Notes in Computer Science
  2007	Where’s the weetbix? Published In Lecture Notes in Computer Science
  2002	A SUB-VECTOR WEIGHTING SCHEME FOR IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK Published In International Journal of Image and Graphics

• Chapter

  Year	Title
  2021	Few-Shot Object Detection by Second-Order Pooling Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Publisher Springer International Publishing
  2021	Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis Published In Advances in Artificial Intelligence, Computation, and Data Science Publisher Springer International Publishing
  2020	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Singapore
  2019	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Singapore
  2018	CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification Published In Conceptual Modeling Publisher Springer International Publishing
  2017	Big data in genomics Published In Big Data Management and Processing Publisher Taylor & Francis Group
  2015	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Berlin Heidelberg
  2015	Advanced image retrieval technology in future mobile teaching and learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Berlin Heidelberg
  2015	Advanced image retrieval technology in future mobile teaching and learning Published In Handbook of Mobile Teaching and Learning Publisher Heidelberg, Germany
  2014	Application of SVMs to the bag-of-features model – A kernel perspective Published In Support Vector Machines Applications Publisher Germany
  2014	Application of SVMs to the bag-of-features model: A kernel perspective Published In Support Vector Machines Applications Publisher Germany
  2014	Exploring compact representation of SICE matrices for functional brain network classification Published In Machine Learning in Medical Imaging 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings Publisher Switzerland
  2014	Support Vector Machines for neuroimage analysis: Interpretation from discrimination Published In Support Vector Machines Applications Publisher Germany
  2011	Compressive Evaluation in Human Motion Tracking Published In Computer Vision – ACCV 2010
  2011	Efficient Structured Support Vector Regression Published In Computer Vision – ACCV 2010

• Conference Paper

  Year	Title
  2021	A Self-boosting Framework for Automated Radiographic Report Generation Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2021	Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2021	Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding Published In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
  2021	INTER-MODALITY FUSION BASED ATTENTION FOR ZERO-SHOT CROSS-MODAL RETRIEVAL Published In Proceedings - International Conference on Image Processing, ICIP
  2021	LoFGAN: Fusing Local Representations for Few-shot Image Generation Published In Proceedings of the IEEE International Conference on Computer Vision
  2021	Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors Published In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
  2021	Towards A More Effective Bidirectional LSTM-based Learning Model for Human-Bacterium Protein-Protein Interactions Published In 14th International Conference on Practical Applications of Computational Biology & Bioinformatics
  2020	A mask based deep ranking neural network for person retrieval Published In IEEE International Conference on Multimedia and Expo (ICME) 2019
  2020	A novel unsupervised camera-aware domain adaptation framework for person re-identification Published In Proceedings of the IEEE International Conference on Computer Vision
  2020	Distribution consistency based covariance metric networks for few-shot learning Published In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
  2020	Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions Published In IEEE International Conference on Big Data (Big Data 2019)
  2020	Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions Published In 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD)
  2020	Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images Published In Proceedings of the IEEE International Conference on Computer Vision
  2020	Modelling diffusion process by deep neural networks for image retrieval Published In British Machine Vision Conference 2018, BMVC 2018
  2020	Revisiting local descriptor based image-to-class measure for few-shot learning Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2020	A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies Published In IEEE International Conference on Services Computing
  2020	Asymmetric distribution measure for few-shot learning Published In IJCAI International Joint Conference on Artificial Intelligence
  2020	Differentiable meta-learning model for few-shot semantic segmentation Published In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
  2020	HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions Published In IEEE International Joint Conference on Neural Networks
  2020	Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	ReDro: Efficiently Learning Large-Sized SPD Visual Representation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	A mask based deep ranking neural network for person retrieval Published In IEEE International Conference on Multimedia and Expo (ICME) 2019
  2019	A novel unsupervised camera-aware domain adaptation framework for person re-identification Published In Proceedings of the IEEE International Conference on Computer Vision
  2019	Distribution consistency based covariance metric networks for few-shot learning Published In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
  2019	Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions Published In IEEE International Conference on Big Data (Big Data 2019)
  2019	Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions Published In 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD)
  2019	Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images Published In Proceedings of the IEEE International Conference on Computer Vision
  2019	Modelling diffusion process by deep neural networks for image retrieval Published In British Machine Vision Conference 2018, BMVC 2018
  2019	Revisiting local descriptor based image-to-class measure for few-shot learning Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2018	3D cGAN based cross-modality MR image synthesis for brain tumor segmentation Published In IEEE International Symposium on Biomedical Imaging (ISBI 2018)
  2018	Instance image retrieval by aggregating sample-based discriminative characteristics Published In ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval
  2018	Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease Published In IEEE International Symposium on Biomedical Imaging
  2018	Towards Biological Sequence Data Service with Insights Published In 2018 IEEE International Conference on Big Data (Big Data)
  2018	Tumor segmentation via multi-modality joint dictionary learning Published In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
  2017	A Comparison Study for Supervised Machine Learning Models in Cancer Classification Published In 16th International Conference on Bioinformatics (InCoB 2017)
  2017	Collaborative Data Analytics towards Prediction on Pathogen-Host Protein-Protein Interactions Published In International Conference on Computer Supported Cooperative Work in Design
  2017	Infomax principle based pooling of deep convolutional activations for image retrieval Published In IEEE International Conference on Multimedia and Expo (ICME)
  2017	Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions Published In IEEE 6th International Congress on Big Data
  2017	Multiple kernel k-means with incomplete kermels Published In 31st AAAI Conference (AAAI 2017)
  2017	Multiple kernel k-means with incomplete kernels Published In 31st AAAI Conference on Artificial Intelligence, AAAI 2017
  2017	Revisiting metric learning for SPD matrix based visual representation Published In 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017
  2017	Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A bioinformatics survey Published In IEEE 6th International Congress on Big Data
  2017	Training triplet networks with GaN Published In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings
  2016	Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval Published In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
  2016	Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval Published In 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
  2016	Multiple kernel clustering with local kernel alignment maximization Published In 2016 Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
  2016	Multiple kernel k-means clustering with matrix-induced regularization Published In 30th AAAI Conference on Artificial Intelligence, AAAI 2016
  2016	Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval Published In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
  2016	Semi-supervised Weight Learning for the Spatial Search Method in ConvNet-based Image Retrieval Published In 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
  2016	Towards data analytics of pathogen-host protein-protein interaction: a survey Published In 2016 IEEE International Congress on Big Data (BigData Congress)
  2015	Absent multiple kernel learning Published In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
  2015	Beyond covariance: feature representation with nonlinear kernel matrices Published In Proceedings of the IEEE International Conference on Computer Vision
  2015	Single image smoke detection Published In Lecture Notes in Computer Science: Computer Vision - ACCV 2014: 12th Asian Conference on Computer Vision Singapore
  2014	A method of discriminative information preservation and in-dimension distance minimization method for feature selection Published In 22nd International Conference on Pattern Recognition (ICPR 2014)
  2014	Discriminative sparse inverse covariance matrix: Application in brain functional network classification Published In 2014 IEEE Conference on Computer Vision and Pattern Recognition
  2014	Encoding high dimensional local features by sparse coding based fisher vectors Published In Advances in Neural Information Processing Systems
  2014	Experimental study of unsupervised feature learning for HEp-2 cell images clustering Published In Digital lmage Computing: Techniques and Applications (DlCTA), 2014 International Conference on
  2014	HEp-2 cell image classification with convolutional neural networks Published In Proceedings - 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, I3A Workshop 2014
  2014	Max-margin based learning for discriminative Bayesian network from neuroimaging data Published In The 17th International Conference on Medical Image Computing and ComputerAssisted Intervention (MICCAI 2014)
  2014	Sample-adaptive multiple kernel learning Published In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14)
  2013	A fast approximate AIB algorithm for distributional word clustering Published In IEEE Conference on Computer Vision and Pattern Recognition
  2013	A scalable unsupervised feature merging approach to efficient dimensionality reduction of high-dimensional visual data Published In IEEE International Conference on Computer Vision
  2013	Accelerating the Divisive Information-Theoretic Clustering of Visual Words Published In 2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA)
  2013	Accelerating the divisive information-theoretic clustering of visual words Published In 2013 International Conference on Digital Image Computing: Techniques and Applications
  2013	Discriminative brain effective connectivity analysis for Alzheimer's disease: A kernel learning approach upon sparse gaussian bayesian network Published In IEEE Conference on Computer Vision and Pattern Recognition
  2013	Improving graph matching via density maximization Published In IEEE International Conference on Computer Vision
  2013	Structure emergence in the evolution of social networks and its case study Published In Procedia Computer Science
  2012	A novel video-based smoke detection method using image separation Published In ICME 2012: IEEE International Conference on Multimedia and Expo
  2012	What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection Published In CVPR 2012: IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2011	A generalized probabilistic framework for compact codebook creation Published In IEEE CVPR 2011: IEEE Conference on Computer Vision and Pattern Recognition
  2011	A scalable dual approach to semidefinite metric learning Published In IEEE CVPR 2011: IEEE Conference on Computer Vision and Pattern Recognition
  2011	Exploring latent class information for image retrieval using the bag-of-feature model Published In MM '11 Proceedings of the 19th ACM international conference on Multimedia
  2011	In defense of soft-assignment coding Published In 2011 IEEE International Conference on Computer Vision
  2011	On the optimality of sequential forward feature selection using class separability measure Published In Proceedings of 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  2011	Pipeline reconstruction from fisheye images Published In 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
  2011	The effect of the characteristics of the dataset on the selection stability Published In Proceedings of 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
  2010	Efficient structured support vector regression Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	A multi-resolution approach to learning with overlapping communities Published In International Workshop on Social Media Analytics, in conjunction with the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  2010	A scalable algorithm for learning a Mahalanobis distance metric Published In Computer Science, Springer, the 9th Asian Conference on Computer Vision (ACCV)
  2010	Compressive evaluation in human motion tracking Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	Efficient learning to label images Published In Proceedings of Twentieth International Conference on Pattern Recognition (ICIP)
  2010	Efficient spectral feature selection with minimum redundancy Published In Proceedings of the National Conference on Artificial Intelligence
  2010	Efficient spectral feature selection with minimum redundancy Published In Proceedings of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI)
  2010	Fast multi-labelling for stereo matching Published In 11th European Conference on Computer Vision (ECCV)
  2010	Gradual sampling and mutual information maximisation for markerless motion capture Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	Guided informative image partitioning Published In Proceedings of Thirteenth International Workshop on Structural and Syntactic Pattern Recognition (S+SSPR)
  2010	Illumination invariant sequential filtering human tracking Published In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
  2010	Inter-domain routing validator based spoofing defence system Published In IEEE International Conference on Intelligence and Security Informatics
  2010	Stereo disparity calculation in real-world scenes with informative image partitioning Published In Proceedings of the 25th International Conference on Image and Vision Computing New Zealand (IVCNZ)
  2009	Handling significant scale difference for object retrieval in a supermarket Published In Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA)
  2009	PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning Published In Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
  2009	Pavement scene interpretation and obstacle detection by large margin image labeling Published In International Workshop on Vision and Control for Access Space (VCAS), in conjunction with the 9th Asian Conference on Computer Vision
  2009	Positive semidefinite metric learning with Boosting Published In Proceedings of Advances in Neural Information Processing Systems (NIPS)
  2009	Positive semidefinite metric learning with boosting Published In Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
  2009	User-driven lossy compression for images and video Published In Proceedings of International Conference on Image and Vision Computing New Zealand (IVCNZ)
  2008	A fast algorithm for creating a compact and discriminative visual codebook Published In 10th European Conference on Computer Vision (ECCV)
  2008	Learning cascaded reduced-set SVMs using linear programming Published In Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA)
  2008	Multi-view human motion capture with an improved deformation skin model Published In Digital Image Computing: Techniques and Applications (DICTA), 2008
  2008	PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning Published In Proceedings of Advances in Neural Information Processing Systems (NIPS)
  2008	Regularized discriminative direction for shape difference analysis Published In 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  2007	Toward a discriminative codebook: codeword selection across multiresolution Published In 2nd Beyond Patches Workshop, in conjunction with International Conference on Computer Vision and Pattern Recognition (CVPR)
  2007	Where's the -bix? Published In COMPUTER VISION - ACCV 2007, PT I, PROCEEDINGS
  2005	Auto-calibration of a compound-type omnidirectional camera Published In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

Presentations

• Invited Talk

  • Learning and Designing SPD-matrix-based Representation for Visual Recognition, Speaker, Multimedia Signal Processing Workshop in University of Technology Sydney 2017
  • CBIR in the Era of Deep Learning — A Perspective from Feature Representation, Speaker, China Nanjing Deep Learning Meet-up 2016
  • Exploring Novel SPD-based Feature Representation for Visual Recognition, Speaker, AustralianWorkshop on Video/Image Coding, Processing and Understanding 2016
  • On Learning Covariance based Feature Representation for Visual Recognition, Speaker, China Jiangsu Artificial Intelligence Conference 2016
  • Supervised and Unsupervised Feature Merging for High-dimensional Visual Data, Speaker, Canon Information Systems Research Australia 2014
  • Unsupervised Feature Merging for Dimension Reduction of High-dimensional Visual Data, Speaker, Charles Sturt University, Bathurst 2014
  • Recent Development of the Bag-of-Words Model in Visual Recognition, Speaker, IEEE SPS Season School on Social Media Processing 2012
  • Recent Development of the Bag-of-Words Model in Visual Recognition, Speaker, The 12th Pacific-Rim Conference on Multimedia 2011

Investigator On

Year	Title
2022 - 2024	Making Meta-learning Generalised Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2020 - 2023	The algorithm will see you now: ethical, legal and social implications of adopting machine learning systems for diagnosis and screening Awarded by: National Health and Medical Research Council (NHMRC) Funding Scheme: Ideas Grant
2022	Developing and evaluating a proof-of-concept image-based dietary tracking tool using machine learning for use by people with multiple sclerosis Awarded by: Multiple Sclerosis Research Australia Funding Scheme: Incubator Grant
2020	Learning kernel-based high-order visual representation for image retrieval Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2010	Generic content-based news picture retrieval with local invariant features Awarded by: Australian Research Council (ARC) Funding Scheme: Linkage Projects

Other Research Activities

• Advantage SME Collaboration Voucher funded by NSW Department of Industry, Smarter building sensor, control and data analysis systems, AUD59,880 Chief Investigator 2018 - 2019
• Community Engagement Grant, University of Wollongong (AUD8,000) Retrieving lost community stories: linking regional archival photo collections using advanced visual technologies Lead Chief Investigator 2017 - 2018
• National Computational Merit Allocation Scheme, Exploring National Treasure: Retrieval of Large Collection of Archival Photos Lead Chief Investigator 2016 - 2018
• Commercial Research Grant with Olapic (an IT Company in New York), Clothing Image Retrieval Research, AUD182,000 Sole Chief Investigator 2014 - 2015
• UOW University Research Committee Near Miss (ARC Discovery Project) Grant, AUD10,000 Lead Chief Investigator 2013 - 2014
• UOW University Research Committee Near Miss (ARC Discovery Project) Grant, AUD12,000 Lead Chief Investigator 2012 - 2013
• UOWUniversity Research Committee Small Grant When Vision Meets Fashion: Addressing The Problem of Fine-grained Image Retrieval, AUD13,000 Lead Chief Investigator 2012 - 2013
• University of Wollongong (UOW) Research Infrastructure Block Grant 3D Multimedia Research Infrastructure, AUD70,000 Coordinator and primary user 2011 - 2012
• UOW Faculty of Informatics Research Develop Scheme Grant, AUD3,500 Sole Chief Investigator 2011
• ARC Discovery Project (DP0773761), Computer Vision Optimization Problem Using Machine Learning, AUD255,000, APD fellowship 2007 - 2009

Impact Story

Potential Supervision Topics

• Content-based Image Retrieval
  Deep Learning for Visual Recognition
  Unsupervised Feature Learning
  
  

Teaching Activities

• CSCI446 Big Data Analytics Instructor 2018
• CSCI464 Computational Intelligence Instructor 2018

Advisees

• Graduate Advising Relationship

  Degree	Research Title	Advisee
  Master of Philosophy	Text-based Guidance for Improved Image Retrieval	Comor, Ian
  Doctor of Philosophy	Transfer Deep Learning with Applications to Smart Infrastructure and Visual Data Analysis	Ding, Yu
  Doctor of Philosophy	Fine-grained Image Recognition using Deep Learning	Rahman, Saimunur
  Master of Research - EIS	Domain ontology for quality of care indicators measured in Australian Residential Aged Care Facilities	Yin, Cedar
  Doctor of Philosophy	Analyzing And Recognition of Video Information Through Machine Learning	Sangrasi, Din
  Doctor of Philosophy	Multi-sensor based system monitoring and defect indentification for wire arc additive manufacturing process	Yuxing, Li
  Master of Research - EIS	Machine learning to understand agitation management for people with dementia in residential aged care	Ke, Jiang
  Doctor of Philosophy	Machine Learning for Managing Behavioral and Synchological Symptoms of Behavior for People with Dementia in Residential Aged- Care Facilities	Vithanage, Dinithi

Outreach Overview

• I have been actively engaged with communities and industries. My research work is about image search, which has a wide range of practical applications. I have met with university library, Kiama council, state & national archives, Carsales, and real estate agencies to introduce my work. In particular, to contribute to the development of local business, I joined UOW Entrepreneur Club (eClub) and regularly attended networking events, workshops and presentations. Through these activities, I established connections with local entrepreneurs and industry specialists. In July 2013, I participated in UOW Pitch Competition to present my idea on online shopping and obtained the finalist certificate. In addition to maintaining regular contact with local business, I developed collaborations with IT companies in China and US to commercialize my research work. Through these activities, I have been deeply impressed by the enthusiasm of industries on innovations and novel techniques. Also, I concretely realize the vital role of academic research in this regard. 
  
  

  In particular, I extended my research work to discover, protect and disseminate the culture of local community. Supported by a 2016 UOW community engagement grant titled “Retrieving Lost Community Stories: Linking Regional Archival Photo Collections using Advanced Visual Technologies,” I worked with UOW library, Illawarra Museum and Wollongong City Libraries to link their archival photo collections to share information. Also, my work enables community members to unprecedentedly query these collections with photos from their old family albums to discover lost stories. In doing so, my research work well supports the way that community connects with local history, by innovating community’s access to digital archival photo material. A demonstration website is being built to show the local community all the functions.

Organizer Of Event

• Lead General Co-Chair of the 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2014
• Area Chair of the Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2010 - 2013

Professional Service Activities

• The 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence, Sweden 2018 Senior Program Committee member 2018

Full Name

• Lei Wang

Mailing Address

• Building 3 Room 219

  School of SCIT, University of Wollongong

  Wollongong

  NSW

  2522

  Australia

Geographic Location

• University of Wollongong 

Located In Facility

• Building 3 Room 219 

Orcid Id

• http://orcid.org/0000-0002-0961-0441 (confirmed)

Web Of Science Researcher Id

• D-9079-2013

Top Publications

Year	Title
2018	3D conditional generative adversarial networks for high-quality PET image estimation at low dose Published in   NeuroImage
2017	HEp-2 Cell Image Classification with Deep Convolutional Neural Networks Published in   IEEE Journal of Biomedical and Health Informatics
2016	A generalized probabilistic framework for compact codebook creation Published in   IEEE Transactions on Pattern Analysis and Machine Intelligence
2016	Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging data Published in   IEEE Transactions on Pattern Analysis and Machine Intelligence
2014	A hierarchical word-merging algorithm with class separability measure Published in   IEEE Transactions on Pattern Analysis and Machine Intelligence
2013	On similarity preserving feature selection Published in   IEEE Transactions on Knowledge and Data Engineering
2011	In defense of soft-assignment coding
2008	Feature selection with kernel class separability Published in   IEEE Transactions on Pattern Analysis and Machine Intelligence
2008	AdaBoost with SVM-based component classifiers Published in   Engineering Applications of Artificial Intelligence
2015	Beyond covariance: feature representation with nonlinear kernel matrices

Research Areas

• 0801 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
• 080104 - COMPUTER VISION
• 080109 - PATTERN RECOGNITION AND DATA MINING
• 170203 - KNOWLEDGE REPRESENTATION AND MACHINE LEARNING

Research Overview

• Lei Wang's research expertise is in the fields of pattern recognition and machine learning, with the application to computer vision, biomedical imaging, and bioinformatics. He has published extensively in these fields, with about 160 peer-reviewed research articles to date. Among the journals and conferences that he regularly publishes his research in, many of them are ERA A*/A (or tier Q1 or ranked top 10-20% in its disciplines) outlets, including the top-ranked conferences such as CVPR, ICCV, ECCV, NIPS, AAAI and MICCAI, and the prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (ranked among top 2 of the 121 journals in the categories of computer science and artificial intelligence according to Journal Citation Report), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Biomedical Engineering, Journal of Machine Learning Research, Pattern Recognition, IEEE Transactions on Image Processing, and IEEE Journal of Biomedical and Health Informatics, to name a few.
  
  According to Google Scholar, the total number of citations of his publications is close to 5000, the i-10 index is 78, and the h-index is 35 (checked on April 2020). The most cited publications in his track record are on pattern recognition and machine learning. 

Geographic Focus

• University of Wollongong  State or Province

Selected Publications

• Journal Article

  Year	Title
  2022	A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification Published In IEEE Transactions on Multimedia
  2022	A defect detection system for wire arc additive manufacturing using incremental learning Published In Journal of Industrial Information Integration
  2022	ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease Published In Pattern Recognition
  2022	Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification Published In IEEE Transactions on Circuits and Systems for Video Technology
  2022	Automated Radiographic Report Generation Purely On Transformer: A Multi-criteria Supervised Approach Published In IEEE Transactions on Medical Imaging
  2022	Dataset-driven Unsupervised Object Discovery for Region-based Instance Image Retrieval Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2022	Diffusion Kernel Attention Network for Brain Disorder Classification Published In IEEE Transactions on Medical Imaging
  2022	Dual-scale correlation analysis for robust multi-label classification Published In Applied Intelligence
  2022	From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition Published In IEEE Transactions on Affective Computing
  2022	Towards intelligent monitoring system in wire arc additive manufacturing: a surface anomaly detector on a small dataset Published In International Journal of Advanced Manufacturing Technology
  2021	A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition Published In IEEE Transactions on Cognitive and Developmental Systems
  2021	GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification Published In ACM Transactions on Multimedia Computing, Communications and Applications
  2021	Interactive medical image segmentation via a point-based interaction Published In Artificial Intelligence in Medicine
  2021	SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation Published In IEEE Transactions on Medical Imaging
  2021	The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information integration Published In Journal of Industrial Information Integration
  2021	Visual place recognition: A survey from deep learning perspective Published In Pattern Recognition
  2020	3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Published In IEEE Transactions on Medical Imaging
  2020	A Joint Local and Global Deep Metric Learning Method for Caricature Recognition Published In Lecture Notes in Computer Science
  2020	A Probabilistic Approach to Cross-region Matching based Image Retrieval Published In IEEE Transactions on Image Processing
  2020	Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2020	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	Phosphorus-Modulation-Triggered Surface Disorder in Titanium Dioxide Nanocrystals Enables Exceptional Sodium-Storage Performance Published In Angewandte Chemie
  2020	Silica-Mediated Formation of Nickel Sulfide Nanosheets on CNT Films for Versatile Energy Storage Published In Small
  2020	Stability analysis of transfer alignment filter based on the µ theory Published In Computers, Materials and Continua
  2020	The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. Published In IEEE transactions on pattern analysis and machine intelligence
  2020	A Framework towards Data Analysis on Host-Pathogen Protein-Protein Interactions Published In Journal of Ambient Intelligence and Humanized Computing
  2020	A novel design of mechanical switch for the high overload environment Published In Computers, Materials and Continua
  2020	APEX2S: A Two-Layer Machine Learning Model for Discovery of host-pathogen protein-protein Interactions on Cloud-based Multiomics Data Published In Concurrency and Computation: Practice and Experience
  2020	Absent Multiple Kernel Learning Algorithms Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2020	Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis Published In IEEE Transactions on Medical Imaging
  2020	Beyond Covariance: SICE and Kernel Based Visual Feature Representation Published In International Journal of Computer Vision
  2020	Deep learning based HEp-2 image classification: A comprehensive review Published In Medical Image Analysis
  2020	Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches Published In International Journal of Applied Earth Observation and Geoinformation
  2020	General Synthesis of Single-Atom Catalysts for Hydrogen Evolution Reactions and Room-Temperature Na-S Batteries Published In Angewandte Chemie - International Edition
  2020	General Synthesis of Single-Atom Catalysts for Hydrogen Evolution Reactions and Room-Temperature Na-S Batteries Published In Angewandte Chemie
  2020	Medical Image Synthesis via Deep Learning Published In Advances in experimental medicine and biology
  2020	Multiple Kernel k-Means with Incomplete Kernels Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2020	Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification Published In IEEE Transactions on Circuits and Systems for Video Technology
  2020	Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2020	Systematic evaluation of machine-learning methods for identifying human-pathogen protein-protein interactions Published In Briefings in Bioinformatics
  2020	The identification of the wind parameters based on the interactive multi-models Published In Computers, Materials and Continua
  2020	What Can Artificial Intelligence Offer Coral Reef Managers? Published In Frontiers in Marine Science
  2019	3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Published In IEEE Transactions on Medical Imaging
  2019	A Joint Local and Global Deep Metric Learning Method for Caricature Recognition Published In Lecture Notes in Computer Science
  2019	A Probabilistic Approach to Cross-region Matching based Image Retrieval Published In IEEE Transactions on Image Processing
  2019	Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis Published In IEEE Transactions on Medical Imaging
  2019	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	Phosphorus-Modulation-Triggered Surface Disorder in Titanium Dioxide Nanocrystals Enables Exceptional Sodium-Storage Performance Published In Angewandte Chemie
  2019	Silica-Mediated Formation of Nickel Sulfide Nanosheets on CNT Films for Versatile Energy Storage Published In Small
  2019	Stability analysis of transfer alignment filter based on the µ theory Published In Computers, Materials and Continua
  2019	The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. Published In IEEE transactions on pattern analysis and machine intelligence
  2018	3D conditional generative adversarial networks for high-quality PET image estimation at low dose Published In NeuroImage
  2018	Calibrated Multi-label Classification with Label Correlations Published In Neural Processing Letters
  2018	DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2018	Graph-Based Place Recognition in Image Sequences with CNN Features Published In Journal of Intelligent and Robotic Systems: theory and applications
  2018	Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation Published In IEEE Transactions on Neural Networks and Learning Systems
  2018	Integrative radiomics expression predicts molecular subtypes of primary clear cell renal cell carcinoma. Published In Clinical radiology
  2018	Late Fusion Incomplete Multi-view Clustering Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2018	Locality adaptive multi-modality GANs for high-quality PET image synthesis Published In Lecture Notes in Computer Science
  2018	Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey Published In IEEE Access
  2017	A Graph-Embedding Approach to Hierarchical Visual Word Mergence Published In IEEE Transactions on Neural Networks and Learning Systems
  2017	Compositional Model Based Fisher Vector Coding for Image Classification Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2017	Detection and Separation of Smoke from Single Image Frames Published In IEEE Transactions on Image Processing
  2017	HEp-2 Cell Image Classification with Deep Convolutional Neural Networks Published In IEEE Journal of Biomedical and Health Informatics
  2017	LiFePO4 quantum-dots composite synthesized by a general microreactor strategy for ultra-high-rate lithium ion batteries Published In Nano Energy
  2017	OPML: A one-pass closed-form solution for online metric learning Published In Pattern Recognition
  2017	Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity Published In Pattern Recognition
  2017	Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model Published In IEEE Transactions on Multimedia
  2016	A generalized probabilistic framework for compact codebook creation Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2016	Exploring multifractal-based features for mild Alzheimer's disease classification Published In Magnetic Resonance in Medicine
  2016	Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis Published In SIGNAL PROCESSING-IMAGE COMMUNICATION
  2016	Learning Discriminative Stein Kernel for SPD Matrices and Its Applications Published In IEEE Transactions on Neural Networks and Learning Systems
  2016	Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging data Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2016	Social friend recommendation based on multiple network correlation Published In IEEE Transactions on Multimedia
  2015	An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction Published In Pattern Recognition
  2015	Computation over fading multiple-access channels based on free deconvolution Published In IET Wireless Sensor Systems
  2015	Density maximization for improving graph matching with its applications Published In IEEE Transactions on Image Processing
  2015	Functional brain network classification with compact representation of SICE matrices Published In IEEE Transactions on Biomedical Engineering
  2015	Multiple kernel extreme learning machine Published In Neurocomputing
  2015	Sensors for robotics 2015 Published In Journal of Sensors
  2014	A hierarchical word-merging algorithm with class separability measure Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2014	DOTAP functionalizing single-walled carbon nanotubes as non-viral vectors for efficient intracellular siRNA delivery. Published In Drug delivery
  2014	Efficient dual approach to distance metric learning Published In IEEE Transactions on Neural Networks and Learning Systems
  2014	Global and local structure preservation for feature selection Published In IEEE Transactions on Neural Networks and Learning Systems
  2014	HEp-2 cell image classification with convolutional neural networks Published In Proceedings - 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, I3A Workshop 2014
  2014	HEp-2 cell image classification with multiple linear descriptors Published In Pattern Recognition
  2014	Max-margin based learning for discriminative Bayesian network from neuroimaging data Published In Lecture Notes in Computer Science
  2014	Progressive mode-seeking on graphs for sparse feature matching Published In Lecture Notes in Computer Science
  2014	Smoke detection in video: an image separation approach Published In International Journal of Computer Vision
  2013	An adaptive approach to learning optimal neighborhood kernels Published In IEEE Transactions on Cybernetics
  2013	An efficient approach to integrating radius information into multiple kernel learning Published In IEEE Transactions on Cybernetics
  2013	Learning with multi-resolution overlapping communities Published In Knowledge and Information Systems
  2013	On similarity preserving feature selection Published In IEEE Transactions on Knowledge and Data Engineering
  2013	Sensors for robotics Published In Journal of Sensors
  2012	Incorporation of radius-info can be simple with SimpleMKL Published In Neurocomputing
  2012	Positive semidefinite metric learning using boosting-like algorithms Published In Journal of Machine Learning Research
  2011	Pipeline reconstruction from fisheye images Published In Journal of WSCG
  2010	Feature selection with redundancy-constrained class separability Published In IEEE Transactions on Neural Networks and Learning Systems
  2010	Hippocampal shape classification using redundancy constrained feature selection Published In Lecture Notes in Computer Science
  2010	Scalable large-margin mahalanobis distance metric learning Published In IEEE Transactions on Neural Networks and Learning Systems
  2009	Identifying anatomical shape difference by regularized discriminative direction Published In IEEE Transactions on Medical Imaging
  2008	Feature selection with kernel class separability Published In IEEE Transactions on Pattern Analysis and Machine Intelligence
  2008	A kernel-induced space selection approach to model selection of KLDA Published In IEEE Transactions on Neural Networks and Learning Systems
  2008	AdaBoost with SVM-based component classifiers Published In Engineering Applications of Artificial Intelligence
  2008	Two criteria for model selection of multiclass support vector machines Published In IEEE Transactions on Cybernetics
  2007	Discovering prediction model for environmental distribution maps Published In Lecture Notes in Computer Science
  2007	Feature subset selection for multi-class SVM based image classification Published In Lecture Notes in Computer Science
  2007	Where’s the weetbix? Published In Lecture Notes in Computer Science
  2002	A SUB-VECTOR WEIGHTING SCHEME FOR IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK Published In International Journal of Image and Graphics

• Chapter

  Year	Title
  2021	Few-Shot Object Detection by Second-Order Pooling Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Publisher Springer International Publishing
  2021	Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis Published In Advances in Artificial Intelligence, Computation, and Data Science Publisher Springer International Publishing
  2020	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Singapore
  2019	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Singapore
  2018	CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification Published In Conceptual Modeling Publisher Springer International Publishing
  2017	Big data in genomics Published In Big Data Management and Processing Publisher Taylor & Francis Group
  2015	Advanced Image Retrieval Technology in Future Mobile Teaching and Learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Berlin Heidelberg
  2015	Advanced image retrieval technology in future mobile teaching and learning Published In Handbook of Mobile Teaching and Learning Publisher Springer Berlin Heidelberg
  2015	Advanced image retrieval technology in future mobile teaching and learning Published In Handbook of Mobile Teaching and Learning Publisher Heidelberg, Germany
  2014	Application of SVMs to the bag-of-features model – A kernel perspective Published In Support Vector Machines Applications Publisher Germany
  2014	Application of SVMs to the bag-of-features model: A kernel perspective Published In Support Vector Machines Applications Publisher Germany
  2014	Exploring compact representation of SICE matrices for functional brain network classification Published In Machine Learning in Medical Imaging 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings Publisher Switzerland
  2014	Support Vector Machines for neuroimage analysis: Interpretation from discrimination Published In Support Vector Machines Applications Publisher Germany
  2011	Compressive Evaluation in Human Motion Tracking Published In Computer Vision – ACCV 2010
  2011	Efficient Structured Support Vector Regression Published In Computer Vision – ACCV 2010

• Conference Paper

  Year	Title
  2021	A Self-boosting Framework for Automated Radiographic Report Generation Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2021	Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2021	Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding Published In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
  2021	INTER-MODALITY FUSION BASED ATTENTION FOR ZERO-SHOT CROSS-MODAL RETRIEVAL Published In Proceedings - International Conference on Image Processing, ICIP
  2021	LoFGAN: Fusing Local Representations for Few-shot Image Generation Published In Proceedings of the IEEE International Conference on Computer Vision
  2021	Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors Published In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
  2021	Towards A More Effective Bidirectional LSTM-based Learning Model for Human-Bacterium Protein-Protein Interactions Published In 14th International Conference on Practical Applications of Computational Biology & Bioinformatics
  2020	A mask based deep ranking neural network for person retrieval Published In IEEE International Conference on Multimedia and Expo (ICME) 2019
  2020	A novel unsupervised camera-aware domain adaptation framework for person re-identification Published In Proceedings of the IEEE International Conference on Computer Vision
  2020	Distribution consistency based covariance metric networks for few-shot learning Published In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
  2020	Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions Published In IEEE International Conference on Big Data (Big Data 2019)
  2020	Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions Published In 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD)
  2020	Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images Published In Proceedings of the IEEE International Conference on Computer Vision
  2020	Modelling diffusion process by deep neural networks for image retrieval Published In British Machine Vision Conference 2018, BMVC 2018
  2020	Revisiting local descriptor based image-to-class measure for few-shot learning Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2020	A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies Published In IEEE International Conference on Services Computing
  2020	Asymmetric distribution measure for few-shot learning Published In IJCAI International Joint Conference on Artificial Intelligence
  2020	Differentiable meta-learning model for few-shot semantic segmentation Published In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
  2020	HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions Published In IEEE International Joint Conference on Neural Networks
  2020	Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2020	ReDro: Efficiently Learning Large-Sized SPD Visual Representation Published In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  2019	A mask based deep ranking neural network for person retrieval Published In IEEE International Conference on Multimedia and Expo (ICME) 2019
  2019	A novel unsupervised camera-aware domain adaptation framework for person re-identification Published In Proceedings of the IEEE International Conference on Computer Vision
  2019	Distribution consistency based covariance metric networks for few-shot learning Published In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
  2019	Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions Published In IEEE International Conference on Big Data (Big Data 2019)
  2019	Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions Published In 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD)
  2019	Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images Published In Proceedings of the IEEE International Conference on Computer Vision
  2019	Modelling diffusion process by deep neural networks for image retrieval Published In British Machine Vision Conference 2018, BMVC 2018
  2019	Revisiting local descriptor based image-to-class measure for few-shot learning Published In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2018	3D cGAN based cross-modality MR image synthesis for brain tumor segmentation Published In IEEE International Symposium on Biomedical Imaging (ISBI 2018)
  2018	Instance image retrieval by aggregating sample-based discriminative characteristics Published In ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval
  2018	Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease Published In IEEE International Symposium on Biomedical Imaging
  2018	Towards Biological Sequence Data Service with Insights Published In 2018 IEEE International Conference on Big Data (Big Data)
  2018	Tumor segmentation via multi-modality joint dictionary learning Published In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
  2017	A Comparison Study for Supervised Machine Learning Models in Cancer Classification Published In 16th International Conference on Bioinformatics (InCoB 2017)
  2017	Collaborative Data Analytics towards Prediction on Pathogen-Host Protein-Protein Interactions Published In International Conference on Computer Supported Cooperative Work in Design
  2017	Infomax principle based pooling of deep convolutional activations for image retrieval Published In IEEE International Conference on Multimedia and Expo (ICME)
  2017	Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions Published In IEEE 6th International Congress on Big Data
  2017	Multiple kernel k-means with incomplete kermels Published In 31st AAAI Conference (AAAI 2017)
  2017	Multiple kernel k-means with incomplete kernels Published In 31st AAAI Conference on Artificial Intelligence, AAAI 2017
  2017	Revisiting metric learning for SPD matrix based visual representation Published In 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017
  2017	Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A bioinformatics survey Published In IEEE 6th International Congress on Big Data
  2017	Training triplet networks with GaN Published In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings
  2016	Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval Published In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
  2016	Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval Published In 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
  2016	Multiple kernel clustering with local kernel alignment maximization Published In 2016 Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
  2016	Multiple kernel k-means clustering with matrix-induced regularization Published In 30th AAAI Conference on Artificial Intelligence, AAAI 2016
  2016	Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval Published In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
  2016	Semi-supervised Weight Learning for the Spatial Search Method in ConvNet-based Image Retrieval Published In 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
  2016	Towards data analytics of pathogen-host protein-protein interaction: a survey Published In 2016 IEEE International Congress on Big Data (BigData Congress)
  2015	Absent multiple kernel learning Published In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
  2015	Beyond covariance: feature representation with nonlinear kernel matrices Published In Proceedings of the IEEE International Conference on Computer Vision
  2015	Single image smoke detection Published In Lecture Notes in Computer Science: Computer Vision - ACCV 2014: 12th Asian Conference on Computer Vision Singapore
  2014	A method of discriminative information preservation and in-dimension distance minimization method for feature selection Published In 22nd International Conference on Pattern Recognition (ICPR 2014)
  2014	Discriminative sparse inverse covariance matrix: Application in brain functional network classification Published In 2014 IEEE Conference on Computer Vision and Pattern Recognition
  2014	Encoding high dimensional local features by sparse coding based fisher vectors Published In Advances in Neural Information Processing Systems
  2014	Experimental study of unsupervised feature learning for HEp-2 cell images clustering Published In Digital lmage Computing: Techniques and Applications (DlCTA), 2014 International Conference on
  2014	HEp-2 cell image classification with convolutional neural networks Published In Proceedings - 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, I3A Workshop 2014
  2014	Max-margin based learning for discriminative Bayesian network from neuroimaging data Published In The 17th International Conference on Medical Image Computing and ComputerAssisted Intervention (MICCAI 2014)
  2014	Sample-adaptive multiple kernel learning Published In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14)
  2013	A fast approximate AIB algorithm for distributional word clustering Published In IEEE Conference on Computer Vision and Pattern Recognition
  2013	A scalable unsupervised feature merging approach to efficient dimensionality reduction of high-dimensional visual data Published In IEEE International Conference on Computer Vision
  2013	Accelerating the Divisive Information-Theoretic Clustering of Visual Words Published In 2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA)
  2013	Accelerating the divisive information-theoretic clustering of visual words Published In 2013 International Conference on Digital Image Computing: Techniques and Applications
  2013	Discriminative brain effective connectivity analysis for Alzheimer's disease: A kernel learning approach upon sparse gaussian bayesian network Published In IEEE Conference on Computer Vision and Pattern Recognition
  2013	Improving graph matching via density maximization Published In IEEE International Conference on Computer Vision
  2013	Structure emergence in the evolution of social networks and its case study Published In Procedia Computer Science
  2012	A novel video-based smoke detection method using image separation Published In ICME 2012: IEEE International Conference on Multimedia and Expo
  2012	What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection Published In CVPR 2012: IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  2011	A generalized probabilistic framework for compact codebook creation Published In IEEE CVPR 2011: IEEE Conference on Computer Vision and Pattern Recognition
  2011	A scalable dual approach to semidefinite metric learning Published In IEEE CVPR 2011: IEEE Conference on Computer Vision and Pattern Recognition
  2011	Exploring latent class information for image retrieval using the bag-of-feature model Published In MM '11 Proceedings of the 19th ACM international conference on Multimedia
  2011	In defense of soft-assignment coding Published In 2011 IEEE International Conference on Computer Vision
  2011	On the optimality of sequential forward feature selection using class separability measure Published In Proceedings of 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  2011	Pipeline reconstruction from fisheye images Published In 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
  2011	The effect of the characteristics of the dataset on the selection stability Published In Proceedings of 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
  2010	Efficient structured support vector regression Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	A multi-resolution approach to learning with overlapping communities Published In International Workshop on Social Media Analytics, in conjunction with the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  2010	A scalable algorithm for learning a Mahalanobis distance metric Published In Computer Science, Springer, the 9th Asian Conference on Computer Vision (ACCV)
  2010	Compressive evaluation in human motion tracking Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	Efficient learning to label images Published In Proceedings of Twentieth International Conference on Pattern Recognition (ICIP)
  2010	Efficient spectral feature selection with minimum redundancy Published In Proceedings of the National Conference on Artificial Intelligence
  2010	Efficient spectral feature selection with minimum redundancy Published In Proceedings of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI)
  2010	Fast multi-labelling for stereo matching Published In 11th European Conference on Computer Vision (ECCV)
  2010	Gradual sampling and mutual information maximisation for markerless motion capture Published In 10th Asian Conference on Computer Vision (ACCV)
  2010	Guided informative image partitioning Published In Proceedings of Thirteenth International Workshop on Structural and Syntactic Pattern Recognition (S+SSPR)
  2010	Illumination invariant sequential filtering human tracking Published In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
  2010	Inter-domain routing validator based spoofing defence system Published In IEEE International Conference on Intelligence and Security Informatics
  2010	Stereo disparity calculation in real-world scenes with informative image partitioning Published In Proceedings of the 25th International Conference on Image and Vision Computing New Zealand (IVCNZ)
  2009	Handling significant scale difference for object retrieval in a supermarket Published In Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA)
  2009	PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning Published In Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
  2009	Pavement scene interpretation and obstacle detection by large margin image labeling Published In International Workshop on Vision and Control for Access Space (VCAS), in conjunction with the 9th Asian Conference on Computer Vision
  2009	Positive semidefinite metric learning with Boosting Published In Proceedings of Advances in Neural Information Processing Systems (NIPS)
  2009	Positive semidefinite metric learning with boosting Published In Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
  2009	User-driven lossy compression for images and video Published In Proceedings of International Conference on Image and Vision Computing New Zealand (IVCNZ)
  2008	A fast algorithm for creating a compact and discriminative visual codebook Published In 10th European Conference on Computer Vision (ECCV)
  2008	Learning cascaded reduced-set SVMs using linear programming Published In Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA)
  2008	Multi-view human motion capture with an improved deformation skin model Published In Digital Image Computing: Techniques and Applications (DICTA), 2008
  2008	PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning Published In Proceedings of Advances in Neural Information Processing Systems (NIPS)
  2008	Regularized discriminative direction for shape difference analysis Published In 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  2007	Toward a discriminative codebook: codeword selection across multiresolution Published In 2nd Beyond Patches Workshop, in conjunction with International Conference on Computer Vision and Pattern Recognition (CVPR)
  2007	Where's the -bix? Published In COMPUTER VISION - ACCV 2007, PT I, PROCEEDINGS
  2005	Auto-calibration of a compound-type omnidirectional camera Published In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

Presentations

• Invited Talk

  • Learning and Designing SPD-matrix-based Representation for Visual Recognition, Speaker, Multimedia Signal Processing Workshop in University of Technology Sydney 2017
  • CBIR in the Era of Deep Learning — A Perspective from Feature Representation, Speaker, China Nanjing Deep Learning Meet-up 2016
  • Exploring Novel SPD-based Feature Representation for Visual Recognition, Speaker, AustralianWorkshop on Video/Image Coding, Processing and Understanding 2016
  • On Learning Covariance based Feature Representation for Visual Recognition, Speaker, China Jiangsu Artificial Intelligence Conference 2016
  • Supervised and Unsupervised Feature Merging for High-dimensional Visual Data, Speaker, Canon Information Systems Research Australia 2014
  • Unsupervised Feature Merging for Dimension Reduction of High-dimensional Visual Data, Speaker, Charles Sturt University, Bathurst 2014
  • Recent Development of the Bag-of-Words Model in Visual Recognition, Speaker, IEEE SPS Season School on Social Media Processing 2012
  • Recent Development of the Bag-of-Words Model in Visual Recognition, Speaker, The 12th Pacific-Rim Conference on Multimedia 2011

Investigator On

Year	Title
2022 - 2024	Making Meta-learning Generalised Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2020 - 2023	The algorithm will see you now: ethical, legal and social implications of adopting machine learning systems for diagnosis and screening Awarded by: National Health and Medical Research Council (NHMRC) Funding Scheme: Ideas Grant
2022	Developing and evaluating a proof-of-concept image-based dietary tracking tool using machine learning for use by people with multiple sclerosis Awarded by: Multiple Sclerosis Research Australia Funding Scheme: Incubator Grant
2020	Learning kernel-based high-order visual representation for image retrieval Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2010	Generic content-based news picture retrieval with local invariant features Awarded by: Australian Research Council (ARC) Funding Scheme: Linkage Projects

Other Research Activities

• Advantage SME Collaboration Voucher funded by NSW Department of Industry, Smarter building sensor, control and data analysis systems, AUD59,880 Chief Investigator 2018 - 2019
• Community Engagement Grant, University of Wollongong (AUD8,000) Retrieving lost community stories: linking regional archival photo collections using advanced visual technologies Lead Chief Investigator 2017 - 2018
• National Computational Merit Allocation Scheme, Exploring National Treasure: Retrieval of Large Collection of Archival Photos Lead Chief Investigator 2016 - 2018
• Commercial Research Grant with Olapic (an IT Company in New York), Clothing Image Retrieval Research, AUD182,000 Sole Chief Investigator 2014 - 2015
• UOW University Research Committee Near Miss (ARC Discovery Project) Grant, AUD10,000 Lead Chief Investigator 2013 - 2014
• UOW University Research Committee Near Miss (ARC Discovery Project) Grant, AUD12,000 Lead Chief Investigator 2012 - 2013
• UOWUniversity Research Committee Small Grant When Vision Meets Fashion: Addressing The Problem of Fine-grained Image Retrieval, AUD13,000 Lead Chief Investigator 2012 - 2013
• University of Wollongong (UOW) Research Infrastructure Block Grant 3D Multimedia Research Infrastructure, AUD70,000 Coordinator and primary user 2011 - 2012
• UOW Faculty of Informatics Research Develop Scheme Grant, AUD3,500 Sole Chief Investigator 2011
• ARC Discovery Project (DP0773761), Computer Vision Optimization Problem Using Machine Learning, AUD255,000, APD fellowship 2007 - 2009

Impact Story

Potential Supervision Topics

• Content-based Image Retrieval
  Deep Learning for Visual Recognition
  Unsupervised Feature Learning
  
  

Teaching Activities

• CSCI446 Big Data Analytics Instructor 2018
• CSCI464 Computational Intelligence Instructor 2018

Advisees

• Graduate Advising Relationship

  Degree	Research Title	Advisee
  Master of Philosophy	Text-based Guidance for Improved Image Retrieval	Comor, Ian
  Doctor of Philosophy	Transfer Deep Learning with Applications to Smart Infrastructure and Visual Data Analysis	Ding, Yu
  Doctor of Philosophy	Fine-grained Image Recognition using Deep Learning	Rahman, Saimunur
  Master of Research - EIS	Domain ontology for quality of care indicators measured in Australian Residential Aged Care Facilities	Yin, Cedar
  Doctor of Philosophy	Analyzing And Recognition of Video Information Through Machine Learning	Sangrasi, Din
  Doctor of Philosophy	Multi-sensor based system monitoring and defect indentification for wire arc additive manufacturing process	Yuxing, Li
  Master of Research - EIS	Machine learning to understand agitation management for people with dementia in residential aged care	Ke, Jiang
  Doctor of Philosophy	Machine Learning for Managing Behavioral and Synchological Symptoms of Behavior for People with Dementia in Residential Aged- Care Facilities	Vithanage, Dinithi

Outreach Overview

• I have been actively engaged with communities and industries. My research work is about image search, which has a wide range of practical applications. I have met with university library, Kiama council, state & national archives, Carsales, and real estate agencies to introduce my work. In particular, to contribute to the development of local business, I joined UOW Entrepreneur Club (eClub) and regularly attended networking events, workshops and presentations. Through these activities, I established connections with local entrepreneurs and industry specialists. In July 2013, I participated in UOW Pitch Competition to present my idea on online shopping and obtained the finalist certificate. In addition to maintaining regular contact with local business, I developed collaborations with IT companies in China and US to commercialize my research work. Through these activities, I have been deeply impressed by the enthusiasm of industries on innovations and novel techniques. Also, I concretely realize the vital role of academic research in this regard. 
  
  

  In particular, I extended my research work to discover, protect and disseminate the culture of local community. Supported by a 2016 UOW community engagement grant titled “Retrieving Lost Community Stories: Linking Regional Archival Photo Collections using Advanced Visual Technologies,” I worked with UOW library, Illawarra Museum and Wollongong City Libraries to link their archival photo collections to share information. Also, my work enables community members to unprecedentedly query these collections with photos from their old family albums to discover lost stories. In doing so, my research work well supports the way that community connects with local history, by innovating community’s access to digital archival photo material. A demonstration website is being built to show the local community all the functions.

Organizer Of Event

• Lead General Co-Chair of the 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2014
• Area Chair of the Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2010 - 2013

Professional Service Activities

• The 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence, Sweden 2018 Senior Program Committee member 2018

Full Name

• Lei Wang

Mailing Address

• Building 3 Room 219

  School of SCIT, University of Wollongong

  Wollongong

  NSW

  2522

  Australia

Geographic Location

• University of Wollongong 

Located In Facility

• Building 3 Room 219 

Orcid Id

• http://orcid.org/0000-0002-0961-0441 (confirmed)

Web Of Science Researcher Id

• D-9079-2013