Gait recognition based on Procrustes shape analysis. - Liang Wang 001; Huazhong Ning; Weiming Hu; Tieniu Tan (ICIP (3), 2002)

Articulated Model Based People Tracking Using Motion Models. - Huazhong Ning; Liang Wang 001; Weiming Hu; Tieniu Tan (ICMI, 2002)

A New Attempt to Gait-based Human Identification. - Liang Wang 001; Weiming Hu; Tieniu Tan (ICPR (1), 2002)

Silhouette Analysis-Based Gait Recognition for Human Identification. - Liang Wang 001; Tieniu Tan; Huazhong Ning; Weiming Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Recent developments in human motion analysis. - Liang Wang 001; Weiming Hu; Tieniu Tan (Pattern Recognit., 2003)

Automatic gait recognition based on statistical shape analysis. - Liang Wang 001; Tieniu Tan; Weiming Hu; Huazhong Ning (IEEE Trans. Image Process., 2003)

Gait analysis for human identification in frequency domain. - Shiqi Yu 001; Liang Wang 001; Weiming Hu; Tieniu Tan (ICIG, 2004)

Kinematics-based tracking of human walking in monocular video sequences. - Huazhong Ning; Tieniu Tan; Liang Wang 001; Weiming Hu (Image Vis. Comput., 2004)

People tracking based on motion model and motion constraints with automatic initialization. - Huazhong Ning; Tieniu Tan; Liang Wang 001; Weiming Hu (Pattern Recognit., 2004)

Fusion of static and dynamic body biometrics for gait recognition. - Liang Wang 001; Huazhong Ning; Tieniu Tan; Weiming Hu (IEEE Trans. Circuits Syst. Video Technol., 2004)

A survey on visual surveillance of object motion and behaviors. - Weiming Hu; Tieniu Tan; Liang Wang 001; Stephen J. Maybank (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Analyzing Human Movements from Silhouettes Using Manifold Learning. - Liang Wang 001; David Suter (AVSS, 2006)

Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms. - Liang Wang 001 (ICPR (3), 2006)

From Blob Metrics to Posture Classification to Activity Profiling. - Liang Wang 001 (ICPR (4), 2006)

Informative Shape Representations for Human Action Recognition. - Liang Wang 001; David Suter (ICPR (2), 2006)

Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model. - Liang Wang 001; David Suter (CVPR, 2007)

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. - Liang Wang 001; Christopher Leckie; Xiaozhe Wang; Kotagiri Ramamohanarao; James C. Bezdek (ICDM Workshops, 2007)

Structure-Based Statistical Features and Multivariate Time Series Clustering. - Xiaozhe Wang; Anthony Wirth; Liang Wang 001 (ICDM, 2007)

Extrapolating Learned Manifolds for Human Activity Recognition. - Tat-Jun Chin; Liang Wang 001; Konrad Schindler; David Suter (ICIP (1), 2007)

Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition. - Liang Wang 001; David Suter (IEEE Trans. Image Process., 2007)

Moving shape dynamics: A signal processing perspective. - Liang Wang 001; Xin Geng 001; Christopher Leckie; Kotagiri Ramamohanarao (CVPR, 2008)

Pattern discovery in motion time series via structure-based spectral clustering. - Xiaozhe Wang; Liang Wang 001; Anthony Wirth (CVPR, 2008)

SpecVAT: Enhanced Visual Cluster Analysis. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (ICDM, 2008)

Dual clustering for categorization of action sequences. - Joanna Cheng; Liang Wang 001; Christopher Leckie (ICPR, 2008)

Human motion recognition using Gaussian Processes classification. - Hang Zhou 005; Liang Wang 001; David Suter (ICPR, 2008)

Characteristic-Based Descriptors for Motion Sequence Recognition. - Liang Wang 001; Xiaozhe Wang; Christopher Leckie; Kotagiri Ramamohanarao (PAKDD, 2008)

Adaptive Fusion of Gait and Face for Human Identification in Video. - Xin Geng 001; Liang Wang 001; Ming Li 010; Qiang Wu 001; Kate Smith-Miles (WACV, 2008)

Visual learning and recognition of sequential data manifolds with applications to human movement analysis. - Liang Wang 001; David Suter (Comput. Vis. Image Underst., 2008)

Selective sampling for approximate clustering of very large data sets. - Liang Wang 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (Int. J. Intell. Syst., 2008)

A hierarchy and probability-based approach for inferring AS relationships. - Binbin Liao; Lian-dong Liu; Liang Wang 001; Hui Zhang 028; Ke Xu 001 (AINTEC, 2009)

A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling. - Uyen T. V. Nguyen; Laurence Anthony F. Park; Liang Wang 001; Kotagiri Ramamohanarao (Australasian Conference on Artificial Intelligence, 2009)

Approximate Spectral Clustering. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (PAKDD, 2009)

Action recognition via multi-feature fusion and Gaussian process classification. - Liang Wang 001; Hang Zhou 005; Sui-Chien Low; Christopher Leckie (WACV, 2009)

Editorial. - Liang Wang 001; Qiang Wu 001; Ming Li 010; Jordi Gonzàlez 001; Xin Geng 001 (Int. J. Pattern Recognit. Artif. Intell., 2009)

Semantic event representation and recognition using syntactic attribute graph grammar. - Liang Lin; Haifeng Gong; Li Li; Liang Wang 001 (Pattern Recognit. Lett., 2009)

Image/video-based pattern analysis and HCI applications. - Liang Wang 001; Qiang Wu 001; Hanzi Wang; Xin Geng 001; Ming Li 010 (Pattern Recognit. Lett., 2009)

Human action recognition by feature-reduced Gaussian process classification. - Hang Zhou 005; Liang Wang 001; David Suter (Pattern Recognit. Lett., 2009)

Automatically Determining the Number of Clusters in Unlabeled Data Sets. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (IEEE Trans. Knowl. Data Eng., 2009)

Chrono-Gait Image: A Novel Temporal Template for Gait Recognition. - Chen Wang; Junping Zhang; Jian Pu; Xiaoru Yuan; Liang Wang 001 (ECCV (1), 2010)

EMD and psychoacoustic model based watermarking for audio. - Liang Wang 001; Sabu Emmanuel; Mohan S. Kankanhalli (ICME, 2010)

Action Recognition Using Space-Time Shape Difference Images. - Hao Qu; Liang Wang 001; Christopher Leckie (ICPR, 2010)

Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. - Liang Wang 001; Christopher Leckie (ICPR, 2010)

Combining Real and Virtual Graphs to Enhance Data Clustering. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao (ICPR, 2010)

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. - Liang Wang 001; Uyen T. V. Nguyen; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (PAKDD (1), 2010)

Context-aware fusion: A case study on fusion of gait and face for human identification in video. - Xin Geng 001; Kate Smith-Miles; Liang Wang 001; Ming Li 010; Qiang Wu 001 (Pattern Recognit., 2010)

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (IEEE Trans. Knowl. Data Eng., 2010)

Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions. - Liang Wang 001; Guoying Zhao 001; Nasir M. Rajpoot; Mark S. Nixon (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Modeling and representing events in multimedia. - Vasileios Mezaris; Ansgar Scherp; Ramesh C. Jain; Mohan S. Kankanhalli; Huiyu Zhou 001; Jianguo Zhang 001; Liang Wang 001; Zhengyou Zhang (ACM Multimedia, 2011)

Recent advances and trends in visual tracking: A review. - Hanxuan Yang 001; Ling Shao 001; Feng Zheng; Liang Wang 001; Zhan Song (Neurocomputing, 2011)

Semi-supervised Elastic net for pedestrian counting. - Ben Tan; Junping Zhang; Liang Wang 001 (Pattern Recognit., 2011)

Approximate pairwise clustering for large data sets via sampling plus extension. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (Pattern Recognit., 2011)

Repairing imperfect video enhancement algorithms using classification-based trained filters. - Ling Shao 001; Hui Zhang 062; Liang Wang 001; Lijun Wang (Signal Image Video Process., 2011)

In Search of Perceptually Salient Groupings. - Yi-Zhe Song; Xiao Bai 001; Peter M. Hall; Liang Wang 001 (IEEE Trans. Image Process., 2011)

Elastic Sequence Correlation for Human Action Analysis. - Li Wang 033; Li Cheng 001; Liang Wang 001 (IEEE Trans. Image Process., 2011)

Face Image Modeling by Multilinear Subspace Analysis With Missing Values. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou; Liang Wang 001 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Contextual Pooling in Image Classification. - Zifeng Wu; Yongzhen Huang; Liang Wang 001; Tieniu Tan (ACCV (1), 2012)

Spatial Graph for Image Classification. - Zifeng Wu; Yongzhen Huang; Liang Wang 001; Tieniu Tan (ACCV (1), 2012)

Baseline Results for Violence Detection in Still Images. - Dong Wang 004; Zhang Zhang 001; Wei Wang 115; Liang Wang 001; Tieniu Tan (AVSS, 2012)

SLTP: A Fast Descriptor for People Detection in Depth Images. - Shiqi Yu 001; Shengyin Wu; Liang Wang 001 (AVSS, 2012)

Violence Video Detection by Discriminative Slow Feature Analysis. - Kaiye Wang; Zhang Zhang 001; Liang Wang 001 (CCPR, 2012)

Structure Sparsity for Multi-camera Gait Recognition. - Qiyue Yin; Rong Sun; Liang Wang 001; Ran He 001 (CCPR, 2012)

Community Detection Based on an Improved Modularity. - Zhen Zhou; Wei Wang 025; Liang Wang 001 (CCPR, 2012)

l2, 1 Regularized correntropy for robust feature selection. - Ran He 001; Tieniu Tan; Liang Wang 001; Wei-Shi Zheng 001 (CVPR, 2012)

Continuum regression for cross-modal multimedia retrieval. - Yongming Chen; Liang Wang 001; Wei Wang 025; Zhang Zhang 001 (ICIP, 2012)

An effective regional saliency model based on extended site entropy rate. - Yan Huang 008; Wei Wang 115; Liang Wang 001; Tieniu Tan (ICPR, 2012)

Multiple HOG templates for gait recognition. - Yushu Liu; Junping Zhang; Chen Wang; Liang Wang 001 (ICPR, 2012)

Group encoding of local features in image classification. - Zifeng Wu; Yongzhen Huang; Liang Wang 001; Tieniu Tan (ICPR, 2012)

Semantic Understanding of Human Behaviors in Image Sequences: From video-surveillance to video-hermeneutics. - Jordi Gonzàlez 001; Thomas B. Moeslund; Liang Wang 001 (Comput. Vis. Image Underst., 2012)

Robust visual tracking using structural region hierarchy and graph matching. - Yi-Zhe Song; Chuan Li 001; Liang Wang 001; Peter M. Hall; Peiyi Shen (Neurocomputing, 2012)

Improved Gaussian process classification via feature space rotation. - Liang Wang 001; Christopher Leckie (Neurocomputing, 2012)

Human Identification Using Temporal Information Preserving Gait Template. - Chen Wang; Junping Zhang; Liang Wang 001; Jian Pu; Xiaoru Yuan (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment. - Miao Yu 001; Adel Rhuma; Syed Mohsen Naqvi; Liang Wang 001; Jonathon A. Chambers (IEEE Trans. Inf. Technol. Biomed., 2012)

Multi-modal Subspace Learning with Joint Graph Regularization for Cross-Modal Retrieval. - Kaiye Wang; Wei Wang 115; Ran He 001; Liang Wang 001; Tieniu Tan (ACPR, 2013)

Auto-encoder Based Data Clustering. - Chunfeng Song; Feng Liu 036; Yongzhen Huang; Liang Wang 001; Tieniu Tan (CIARP (1), 2013)

Learning Coupled Feature Spaces for Cross-Modal Matching. - Kaiye Wang; Ran He 001; Wei Wang 115; Liang Wang 001; Tieniu Tan (ICCV, 2013)

Multi-task deep neural network for multi-label learning. - Yan Huang 008; Wei Wang 115; Liang Wang 001; Tieniu Tan (ICIP, 2013)

Discovering compact topical descriptors for web video retrieval. - Fang Zhao 006; Yongzhen Huang; Liang Wang 001; Tieniu Tan (ICIP, 2013)

Depth-embedded multiple pooling for image classification. - Zhen Zhou; Yongzhen Huang; Liang Wang 001; Tieniu Tan (ICIP, 2013)

Boosting Deformable Part Model by Sample Sharing and Outlier Ablation. - Feng Liu 036; Yongzhen Huang; Liang Wang 001; Wankou Yang (IScIDE, 2013)

Pedestrian Detection Based on Incremental Learning. - Yu Xia; Yongzhen Huang; Liang Wang 001; Xin Geng 001 (IScIDE, 2013)

Relevance Topic Model for Unstructured Social Group Activity Recognition. - Fang Zhao 006; Yongzhen Huang; Liang Wang 001; Tieniu Tan (NIPS, 2013)

Unsupervised categorization of human motion sequences. - Xiaozhe Wang; Liang Wang 001; Leo Lopes (Intell. Data Anal., 2013)

Machine learning in motion analysis: New advances. - Matti Pietikäinen; Matthew Turk 001; Liang Wang 001; Guoying Zhao 001; Li Cheng 001 (Image Vis. Comput., 2013)

"Pattern Recognition" special issue: Sparse representation for event recognition in video surveillance. - Huiyu Zhou 001; Jianguo Zhang 001; Liang Wang 001; Zhengyou Zhang; Lisa M. Brown (Pattern Recognit., 2013)

Guest Editorial: Special issue on intelligent video surveillance for public security and personal privacy. - Noboru Babaguchi; Andrea Cavallaro; Rama Chellappa; Frédéric Dufaux; Liang Wang 001 (IEEE Trans. Inf. Forensics Secur., 2013)

An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment. - Miao Yu 001; Yuanzhang Yu; Adel Rhuma; Syed Mohsen Naqvi; Liang Wang 001; Jonathon A. Chambers (IEEE J. Biomed. Health Informatics, 2013)

Encoding Optimization Using Nearest Neighbor Descriptor. - Muhammad Rauf; Yongzhen Huang; Liang Wang 001 (CCPR (2), 2014)

Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction. - Wei Wang 115; Yan Huang 008; Yizhou Wang 001; Liang Wang 001 (CVPR Workshops, 2014)

Semi-supervised subspace segmentation. - Dong Wang 004; Qiyue Yin; Ran He 001; Liang Wang 001; Tieniu Tan (ICIP, 2014)

Deep Embedding Network for Clustering. - Peihao Huang; Yan Huang 008; Wei Wang 115; Liang Wang 001 (ICPR, 2014)

A General Nonlinear Embedding Framework Based on Deep Neural Network. - Yan Huang 008; Wei Wang 115; Liang Wang 001; Tieniu Tan (ICPR, 2014)

Discriminative Representative Selection via Structure Sparsity. - Baoxing Wang; Qiyue Yin; Shu Wu; Liang Wang 001; Guiquan Liu (ICPR, 2014)

Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation. - Zifeng Wu; Yongzhen Huang; Yinan Yu; Liang Wang 001; Tieniu Tan (ICPR, 2014)

Cross-Modal Learning via Pairwise Constraints. - Ran He 001; Man Zhang 005; Liang Wang 001; Ye Ji; Qiyue Yin (CoRR, 2014)

Deep auto-encoder based clustering. - Chunfeng Song; Yongzhen Huang; Feng Liu 036; Zhenyu Wang; Liang Wang 001 (Intell. Data Anal., 2014)

Multiple spatial pooling for visual object recognition. - Yongzhen Huang; Zifeng Wu; Liang Wang 001; Chunfeng Song (Neurocomputing, 2014)

Hierarchical feature coding for image classification. - Jingyu Liu 004; Yongzhen Huang; Liang Wang 001; Shu Wu (Neurocomputing, 2014)

Spatial modeling via feature co-pooling and SG grafting. - Feng Liu 036; Yongzhen Huang; Liang Wang 001; Wankou Yang; Changyin Sun 001 (Neurocomputing, 2014)

Locally incremental visual cluster analysis using Markov random field. - Zhen Zhou; Li Zhong; Liang Wang 001 (Neurocomputing, 2014)

Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers. - Ran He 001; Tieniu Tan; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Feature Coding in Image Classification: A Comprehensive Study. - Yongzhen Huang; Zifeng Wu; Liang Wang 001; Tieniu Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Spectrum-Based Kernel Length Estimation for Gaussian Process Classification. - Liang Wang 001; Chuan Li 001 (IEEE Trans. Cybern., 2014)

Recognizing Gaits Across Views Through Correlated Motion Co-Clustering. - Worapan Kusakunniran; Qiang Wu 001; Jian Zhang 002; Hongdong Li; Liang Wang 001 (IEEE Trans. Image Process., 2014)

Robust Recognition via Information Theoretic Learning - Ran He 001; Bao-Gang Hu; Xiaotong Yuan; Liang Wang 001 (Springer, 2014)

COT: Contextual Operating Tensor for Context-Aware Recommender Systems. - Qiang Liu 006; Shu Wu; Liang Wang 001 (AAAI, 2015)

Skeleton based action recognition with convolutional neural network. - Yong Du; Yun Fu 001; Liang Wang 001 (ACPR, 2015)

1000fps human segmentation with deep convolutional neural networks. - Chunfeng Song; Yongzhen Huang; Zhenyu Wang; Liang Wang 001 (ACPR, 2015)

Adaptive multi-view clustering via cross trace lasso. - Dong Wang 004; Ran He 001; Liang Wang 001; Tieniu Tan (ACPR, 2015)

Hierarchical motion evolution for action recognition. - Hongsong Wang; Wei Wang 115; Liang Wang 001 (ACPR, 2015)

Facial smile detection based on deep learning features. - Kaihao Zhang; Yongzhen Huang; Hong Wu; Liang Wang 001 (ACPR, 2015)

Multiple Attribute Aware Personalized Ranking. - Weiyu Guo; Shu Wu; Liang Wang 001; Tieniu Tan (APWeb, 2015)

Learning to Hash for Recommendation with Tensor Data. - Qiyue Yin; Shu Wu; Liang Wang 001 (APWeb, 2015)

Kinship Verification with Deep Convolutional Neural Networks. - Kaihao Zhang; Yongzhen Huang; Chunfeng Song; Hong Wu; Liang Wang 001 (BMVC, 2015)

1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder. - Wei Tang 016; Yongzhen Huang; Liang Wang 001 (CCCV (2), 2015)

Social-Relational Topic Model for Social Networks. - Weiyu Guo; Shu Wu; Liang Wang 001; Tieniu Tan (CIKM, 2015)

Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2015)

A Convolutional Click Prediction Model. - Qiang Liu 006; Feng Yu 001; Shu Wu; Liang Wang 001 (CIKM, 2015)

Multi-view Clustering via Structured Low-rank Representation. - Dong Wang 004; Qiyue Yin; Ran He 001; Liang Wang 001; Tieniu Tan (CIKM, 2015)

Incomplete Multi-view Clustering via Subspace Learning. - Qiyue Yin; Shu Wu; Liang Wang 001 (CIKM, 2015)

Hierarchical recurrent neural network for skeleton based action recognition. - Yong Du; Wei Wang 115; Liang Wang 001 (CVPR, 2015)

Deep semantic ranking based hashing for multi-label image retrieval. - Fang Zhao 006; Yongzhen Huang; Liang Wang 001; Tieniu Tan (CVPR, 2015)

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. - Chunshui Cao; Xianming Liu; Yi Yang 007; Yinan Yu; Jiang Wang 001; Zilei Wang; Yongzhen Huang; Liang Wang 001; Chang Huang; Wei Xu 017; Deva Ramanan; Thomas S. Huang (ICCV, 2015)

A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. - Zhuoyuan Chen; Xun Sun; Liang Wang 001; Yinan Yu; Chang Huang (ICCV, 2015)

Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning. - Yan Huang 008; Wei Wang 115; Liang Wang 001 (ICCV, 2015)

Multi-view descriptor mining via codeword net for action recognition. - Jingyu Liu 004; Yongzhen Huang; Xiaojiang Peng; Liang Wang 001 (ICIP, 2015)

Learning unified sparse representations for multi-modal data. - Kaiye Wang; Wei Wang 115; Liang Wang 001 (ICIP, 2015)

Partially tagged image clustering. - Qiyue Yin; Shu Wu; Liang Wang 001 (ICIP, 2015)

Scene text recognition with deeper convolutional neural networks. - Yuqi Zhang 001; Wei Wang 115; Liang Wang 001; Liuan Wang (ICIP, 2015)

A Two-step Approach to Cross-modal Hashing. - Kaiye Wang; Wei Wang 115; Liang Wang 001; Ran He 001 (ICMR, 2015)

Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution. - Yan Huang 008; Wei Wang 115; Liang Wang 001 (NIPS, 2015)

Personalized Semantic Ranking for Collaborative Recommendation. - Song Xu 002; Shu Wu; Liang Wang 001 (SIGIR, 2015)

Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. - Weiyu Guo; Shu Wu; Liang Wang 001; Tieniu Tan (WI-IAT (1), 2015)

Enhanced Mixtures of Part Model for Human Pose Estimation. - Wenjuan Gong; Yongzhen Huang; Jordi Gonzàlez 001; Liang Wang 001 (CoRR, 2015)

Multi-view clustering via pairwise sparse subspace representation. - Qiyue Yin; Shu Wu; Ran He 001; Liang Wang 001 (Neurocomputing, 2015)

Empirical mode decomposition based blind audio watermarking. - Zhaoyang Fu; Peng Zhang 005; Wei Huang 013; Liang Wang 001; Sabu Emmanuel; Guang Chen 004 (Multim. Tools Appl., 2015)

An unsupervised acoustic fall detection system using source separation for sound interference suppression. - Muhammad Salman Khan 001; Miao Yu 001; Pengming Feng; Liang Wang 001; Jonathon A. Chambers (Signal Process., 2015)

Multiple pedestrian tracking based on couple-states Markov chain with semantic topic learning for video surveillance. - Peng Zhang 005; Liang Wang 001; Wei Huang 013; Lei Xie 001; Guang Chen 004 (Soft Comput., 2015)

Cross-Modal Subspace Learning via Pairwise Constraints. - Ran He 001; Man Zhang 005; Liang Wang 001; Ye Ji; Qiyue Yin (IEEE Trans. Image Process., 2015)

Unconstrained Multimodal Multi-Label Learning. - Yan Huang 008; Wei Wang 115; Liang Wang 001 (IEEE Trans. Multim., 2015)

Learning Representative Deep Features for Image Set Analysis. - Zifeng Wu; Yongzhen Huang; Liang Wang 001 (IEEE Trans. Multim., 2015)

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. - Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (AAAI, 2016)

SAPE: A System for Situation-Aware Public Security Evaluation. - Shu Wu; Qiang Liu 006; Ping Bai; Liang Wang 001; Tieniu Tan (AAAI, 2016)

Information Credibility Evaluation on Social Media. - Shu Wu; Qiang Liu 006; Yong Liu; Liang Wang 001; Tieniu Tan (AAAI, 2016)

Gait Retrieval: A Deep Hashing Method for People Retrieval in Video. - Muhammad Rauf; Yongzhen Huang; Liang Wang 001 (CCPR (1), 2016)

Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. - Peng Xu 005; Qiyue Yin; Yonggang Qi; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Jun Guo 002 (ECCV Workshops (1), 2016)

Context-Aware Sequential Recommendation. - Qiang Liu 006; Shu Wu; Diyi Wang; Zhaokang Li; Liang Wang 001 (ICDM, 2016)

Knowledge transfer between networks and its application on gait recognition. - Muhammad Rauf; Chunfeng Song; Yongzhen Huang; Liang Wang 001; Ning Jia (DSP, 2016)

What makes for good multiple object trackers? - Yuqi Zhang 001; Yongzhen Huang; Liang Wang 001 (DSP, 2016)

How scenes imply actions in realistic videos? - Hongsong Wang; Wei Wang 115; Liang Wang 001 (ICIP, 2016)

Localize heavily occluded human faces via deep segmentation. - Kaihao Zhang; Yongzhen Huang; Ran He 001; Hong Wu; Liang Wang 001 (ICIP, 2016)

Cross-modal subspace learning for sketch-based image retrieval: A comparative study. - Peng Xu 005; Ke Li 004; Zhanyu Ma; Yi-Zhe Song; Liang Wang 001; Jun Guo 002 (IC-NIDC, 2016)

An attention model based on spatial transformers for scene recognition. - Shuxuan Guo; Li Liu 002; Wei Wang 115; Songyang Lao; Liang Wang 001 (ICPR, 2016)

A Dynamic Recurrent Model for Next Basket Recommendation. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (SIGIR, 2016)

A Visual and Textual Recurrent Neural Network for Sequential Prediction. - Qiang Cui 002; Shu Wu; Qiang Liu 006; Liang Wang 001 (CoRR, 2016)

Multi-behavioral Sequential Prediction for Collaborative Filtering. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2016)

ICE: Information Credibility Evaluation on Social Media via Representation Learning. - Qiang Liu 006; Shu Wu; Feng Yu 001; Liang Wang 001; Tieniu Tan (CoRR, 2016)

Multimodal Memory Modelling for Video Captioning. - Junbo Wang 003; Wei Wang 115; Yan Huang 008; Liang Wang 001; Tieniu Tan (CoRR, 2016)

A Comprehensive Survey on Cross-modal Retrieval. - Kaiye Wang; Qiyue Yin; Wei Wang 115; Shu Wu; Liang Wang 001 (CoRR, 2016)

Special Issue on Individual and Group Activities in Video Event Analysis. - Liang Wang 001; Ioannis Patras; Jian Zhang 002; Greg Mori; Larry Davis 001 (Comput. Vis. Image Underst., 2016)

Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding. - Fang Zhao 006; Yongzhen Huang; Liang Wang 001; Tao Xiang 002; Tieniu Tan (Int. J. Comput. Vis., 2016)

Personalized ranking with pairwise Factorization Machines. - Weiyu Guo; Shu Wu; Liang Wang 001; Tieniu Tan (Neurocomputing, 2016)

Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval. - Kaiye Wang; Ran He 001; Liang Wang 001; Wei Wang 115; Tieniu Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Coupled Topic Model for Collaborative Filtering With User-Generated Content. - Shu Wu; Weiyu Guo; Song Xu 002; Yongzhen Huang; Liang Wang 001; Tieniu Tan (IEEE Trans. Hum. Mach. Syst., 2016)

Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition. - Yong Du; Yun Fu 001; Liang Wang 001 (IEEE Trans. Image Process., 2016)

Contextual Operation for Recommender Systems. - Shu Wu; Qiang Liu 006; Liang Wang 001; Tieniu Tan (IEEE Trans. Knowl. Data Eng., 2016)

Information Theoretic Subspace Clustering. - Ran He 001; Liang Wang 001; Zhenan Sun; Yingya Zhang; Bo Li 005 (IEEE Trans. Neural Networks Learn. Syst., 2016)

How to Train a Compact Binary Neural Network with High Accuracy? - Wei Tang 016; Gang Hua 001; Liang Wang 001 (AAAI, 2017)

Irregular Convolutional Neural Networks. - Jiabin Ma; Wei Wang 115; Liang Wang 001 (ACPR, 2017)

Multi-task Deep Learning for Fast Online Multiple Object Tracking. - Yuqi Zhang 001; Yongzhen Huang; Liang Wang 001 (ACPR, 2017)

UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Longyin Wen; Honggang Qi; Yuezun Li; Yi Wei 006; Lipeng Ke; Tao Hu 011; Marco Del Coco; Pierluigi Carcagnì; Dmitriy Anisimov; et al. (AVSS, 2017)

PreNet: Parallel Recurrent Neural Networks for Image Classification. - Junbo Wang 003; Wei Wang 115; Liang Wang 001; Tieniu Tan (CCCV (2), 2017)

Learning Shared and Specific Factors for Multi-modal Data. - Qiyue Yin; Yan Huang 008; Shu Wu; Liang Wang 001 (CCCV (2), 2017)

Relevance and Coherence Based Image Caption. - Tao Zhang; Wei Wang 115; Liang Wang 001; Qinghua Hu (CCCV (1), 2017)

Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM. - Yan Huang 008; Wei Wang 115; Liang Wang 001 (CVPR, 2017)

A Dataset for Benchmarking Image-Based Localization. - Xun Sun; Yuanfan Xie; Pei Luo; Liang Wang 001 (CVPR, 2017)

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks. - Hongsong Wang; Liang Wang 001 (CVPR, 2017)

See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification. - Zhen Zhou; Yan Huang 008; Wei Wang 115; Liang Wang 001; Tieniu Tan (CVPR, 2017)

Referring Expression Generation and Comprehension via Attributes. - Jingyu Liu 004; Liang Wang 001; Ming-Hsuan Yang 001 (ICCV, 2017)

Learning robust representations using recurrent neural networks for skeleton based action classification and detection. - Hongsong Wang; Liang Wang 001 (ICME Workshops, 2017)

A Convolutional Approach for Misinformation Identification. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (IJCAI, 2017)

DeepStyle: Learning User Preferences for Visual Recommendation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (SIGIR, 2017)

Blood Pressure Prediction via Recurrent Models with Contextual Layer. - Xiaohan Li 001; Shu Wu; Liang Wang 001 (WWW, 2017)

Learning Semantic Concepts and Order for Image and Sentence Matching. - Yan Huang 008; Qi Wu 001; Liang Wang 001 (CoRR, 2017)

A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs. - Zifeng Wu; Yongzhen Huang; Liang Wang 001; Xiaogang Wang 001; Tieniu Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Unified subspace learning for incomplete and unlabeled multi-view data. - Qiyue Yin; Shu Wu; Liang Wang 001 (Pattern Recognit., 2017)

Exploring generalized shape analysis by topological representations. - Zhen Zhou; Yongzhen Huang; Liang Wang 001; Tieniu Tan (Pattern Recognit. Lett., 2017)

Retrospective analysis of time series for frame selection in surveillance video summarization. - Zhen Gao; Guoliang Lu; Peng Yan 001; Liang Wang 001 (Signal Image Video Process., 2017)

Conditional High-Order Boltzmann Machines for Supervised Relation Learning. - Yan Huang 008; Wei Wang 115; Liang Wang 001; Tieniu Tan (IEEE Trans. Image Process., 2017)

Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks. - Kaihao Zhang; Yongzhen Huang; Yong Du; Liang Wang 001 (IEEE Trans. Image Process., 2017)

Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. - Qiang Liu 006; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Context-Aware Collaborative Prediction - Shu Wu; Qiang Liu 006; Liang Wang 001; Tieniu Tan (Springer, 2017)

Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection. - Chunshui Cao; Yongzhen Huang; Zilei Wang; Liang Wang 001; Ninglong Xu; Tieniu Tan (AAAI, 2018)

Learning Semantic Concepts and Order for Image and Sentence Matching. - Yan Huang 008; Qi Wu 001; Chunfeng Song; Liang Wang 001 (CVPR, 2018)

Multistage Adversarial Losses for Pose-Based Human Image Synthesis. - Chenyang Si; Wei Wang 115; Liang Wang 001; Tieniu Tan (CVPR, 2018)

Mask-Guided Contrastive Attention Model for Person Re-Identification. - Chunfeng Song; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (CVPR, 2018)

M3: Multimodal Memory Modelling for Video Captioning. - Junbo Wang 003; Wei Wang 115; Yan Huang 008; Liang Wang 001; Tieniu Tan (CVPR, 2018)

Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. - Chenglong Li 002; Chengli Zhu; Yan Huang 008; Jin Tang 001; Liang Wang 001 (ECCV (13), 2018)

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning. - Chenyang Si; Ya Jing; Wei Wang 115; Liang Wang 001; Tieniu Tan (ECCV (1), 2018)

Towards Unconstrained Pointing Problem of Visual Question Answering: A Retrieval-based Method. - Wenlong Cheng; Yan Huang 008; Liang Wang 001 (ICPR, 2018)

Deep Temporal Feature Encoding for Action Recognition. - Lin Li; Zhaoxiang Zhang 001; Yan Huang 008; Liang Wang 001 (ICPR, 2018)

RotateConv: Making Asymmetric Convolutional Kernels Rotatable. - Jiabin Ma; Weiyu Guo; Wei Wang 115; Liang Wang 001 (ICPR, 2018)

Hierarchical Memory Modelling for Video Captioning. - Junbo Wang 003; Wei Wang 115; Yan Huang 008; Liang Wang 001; Tieniu Tan (ACM Multimedia, 2018)

Skeleton-Based Relational Modeling for Action Recognition. - Lin Li; Wu Zheng; Zhaoxiang Zhang 001; Yan Huang 008; Liang Wang 001 (CoRR, 2018)

Pose-Based Two-Stream Relational Networks for Action Recognition in Videos. - Wei Wang 115; Jinjin Zhang; Chenyang Si; Liang Wang 001 (CoRR, 2018)

Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection. - Ya Jing; Chenyang Si; Junbo Wang 003; Wei Wang 115; Liang Wang 001; Tieniu Tan (CoRR, 2018)

Cross-modal subspace learning for fine-grained sketch-based image retrieval. - Peng Xu 005; Qiyue Yin; Yongye Huang; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Tao Xiang 002; W. Bastiaan Kleijn; Jun Guo 002 (Neurocomputing, 2018)

Video Super-Resolution via Bidirectional Recurrent Convolutional Networks. - Yan Huang 008; Wei Wang 115; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Robust linear representation via exploiting structure prior. - Dong Wang 004; Ran He 001; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2018)

Learning content and style: Joint action recognition and person identification from human skeletons. - Hongsong Wang; Liang Wang 001 (Pattern Recognit., 2018)

Cross-Agent Action Recognition. - Hongsong Wang; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Kernel-Based Semantic Hashing for Gait Retrieval. - Yucan Zhou; Yongzhen Huang; Qinghua Hu; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Fast Object Detection at Constrained Energy. - Jingyu Liu 004; Yongzhen Huang; Junran Peng; Jun Yao; Liang Wang 001 (IEEE Trans. Emerg. Top. Comput., 2018)

Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection. - Hongsong Wang; Liang Wang 001 (IEEE Trans. Image Process., 2018)

Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. - Qiang Liu 006; Feng Yu 001; Shu Wu; Liang Wang 001 (ACM Trans. Intell. Syst. Technol., 2018)

Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. - Jufeng Yang; Dongyu She; Ming Sun 006; Ming-Ming Cheng; Paul L. Rosin; Liang Wang 001 (IEEE Trans. Multim., 2018)

Multiview Clustering via Unified and View-Specific Embeddings Learning. - Qiyue Yin; Shu Wu; Liang Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding. - Yan Huang 008; Yang Long 001; Liang Wang 001 (AAAI, 2019)

Session-Based Recommendation with Graph Neural Networks. - Shu Wu; Yuyuan Tang; Yanqiao Zhu 001; Liang Wang 001; Xing Xie 001; Tieniu Tan (AAAI, 2019)

A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios. - Da Li 003; Zhang Zhang 001; Caifeng Shan; Liang Wang 001; Tieniu Tan (AVSS, 2019)

Learning Depth-aware Heatmaps for 3D Human Pose Estimation in the Wild. - Zerui Chen; Yiru Guo; Yan Huang 008; Liang Wang 001 (BMVC, 2019)

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. - Zekun Li 001; Zeyu Cui; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (CIKM, 2019)

Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising. - Yusi Zhang; Zhi Yang 001; Liang Wang 001; Li He (CIKM, 2019)

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. - Chenyang Si; Wentao Chen; Wei Wang 115; Liang Wang 001; Tieniu Tan (CVPR, 2019)

Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. - Chunfeng Song; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (CVPR, 2019)

Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model. - Weining Wang 001; Yan Huang 008; Liang Wang 001 (CVPR, 2019)

ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching. - Yan Huang 008; Liang Wang 001 (ICCV, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Fusing Two Directions in Cross-Domain Adaption for Real Life Person Search by Language. - Kai Niu 002; Yan Huang 008; Liang Wang 001 (ICCV Workshops, 2019)

An End-to-End Video Text Detector with Online Tracking. - Hongyuan Yu; Chengquan Zhang; Xuan Li; Junyu Han; Errui Ding; Liang Wang 001 (ICDAR, 2019)

Hierarchical Graph Convolutional Network for Skeleton-Based Action Recognition. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (ICIG (1), 2019)

Augmented Visual-Semantic Embeddings for Image and Sentence Matching. - Zerui Chen; Yan Huang 008; Liang Wang 001 (ICIP, 2019)

Unsupervised Cross-Domain Person Re-Identification: A New Framework. - Da Li 003; Dangwei Li; Zhang Zhang 001; Liang Wang 001; Tieniu Tan (ICIP, 2019)

Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons. - Yi-Fan Song; Zhang Zhang 001; Liang Wang 001 (ICIP, 2019)

Semi-Supervised Compatibility Learning Across Categories for Clothing Matching. - Zekun Li 001; Zeyu Cui; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (ICME, 2019)

Relational Network for Skeleton-Based Action Recognition. - Wu Zheng; Lin Li; Zhaoxiang Zhang 001; Yan Huang 008; Liang Wang 001 (ICME, 2019)

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. - Fenyu Hu; Yanqiao Zhu 001; Shu Wu; Liang Wang 001; Tieniu Tan (IJCAI, 2019)

Stacked Memory Network for Video Summarization. - Junbo Wang 003; Wei Wang 115; Zhiyong Wang 001; Liang Wang 001; Dagan Feng 001; Tieniu Tan (ACM Multimedia, 2019)

Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. - Qiang Cui 002; Yuyuan Tang; Shu Wu; Liang Wang 001 (PAKDD (3), 2019)

Recurrent Deconvolutional Generative Adversarial Networks with Application to Video Generation. - Hongyuan Yu; Yan Huang 008; Lihong Pi; Liang Wang 001 (PRCV (2), 2019)

Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. - Zeyu Cui; Zekun Li 001; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (WWW, 2019)

Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (Comput. Secur., 2019)

Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks. - Fenyu Hu; Yanqiao Zhu 001; Shu Wu; Liang Wang 001; Tieniu Tan (CoRR, 2019)

Progressive Cluster Purification for Transductive Few-shot Learning. - Chenyang Si; Wentao Chen; Wei Wang 115; Liang Wang 001; Tieniu Tan (CoRR, 2019)

Learning Compact Target-Oriented Feature Representations for Visual Tracking. - Chenglong Li 002; Yan Huang 008; Liang Wang 001; Jin Tang 001; Liang Lin (CoRR, 2019)

Learning Efficient Convolutional Networks through Irregular Convolutional Kernels. - Weiyu Guo; Jiabin Ma; Liang Wang 001; Yongzhen Huang (CoRR, 2019)

Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. - Shu Wu; Mengqi Zhang; Xin Jiang 008; Ke Xu 001; Liang Wang 001 (CoRR, 2019)

Learning Preferences and Demands in Visual Recommendation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2019)

A hierarchical contextual attention-based network for sequential recommendation. - Qiang Cui 002; Shu Wu; Yan Huang 008; Liang Wang 001 (Neurocomputing, 2019)

Learning view invariant gait features with Two-Stream GAN. - Yanyun Wang 008; Chunfeng Song; Yan Huang 008; Zhenyu Wang; Liang Wang 001 (Neurocomputing, 2019)

Feedback Convolutional Neural Network for Visual Localization and Segmentation. - Chunshui Cao; Yongzhen Huang; Yi Yang 007; Liang Wang 001; Zilei Wang; Tieniu Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Part-aligned pose-guided recurrent network for action recognition. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (Pattern Recognit., 2019)

MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification. - Yabei Li; Zhang Zhang 001; Yanhua Cheng; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2019)

Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" [Pattern Recognition 90 (2019) 436-449]. - Yabei Li; Zhang Zhang 001; Yanhua Cheng; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2019)

GaitNet: An end-to-end network for gait based human identification. - Chunfeng Song; Yongzhen Huang; Yan Huang 008; Ning Jia; Liang Wang 001 (Pattern Recognit., 2019)

A comprehensive study on gait biometrics using a joint CNN-based method. - Yuqi Zhang 001; Yongzhen Huang; Liang Wang 001; Shiqi Yu 001 (Pattern Recognit., 2019)

Multi-Task GANs for View-Specific Feature Learning in Gait Recognition. - Yiwei He; Junping Zhang; Hongming Shan; Liang Wang 001 (IEEE Trans. Inf. Forensics Secur., 2019)

Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. - Jie Liang 007; Jufeng Yang; Ming-Ming Cheng; Paul L. Rosin; Liang Wang 001 (IEEE Trans. Image Process., 2019)

Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. - Zhanyu Ma; Yuping Lai; W. Bastiaan Kleijn; Yi-Zhe Song; Liang Wang 001; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (AAAI, 2020)

Relational Prototypical Network for Weakly Supervised Temporal Action Localization. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (AAAI, 2020)

Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search. - Ya Jing; Chenyang Si; Junbo Wang 003; Wei Wang 115; Liang Wang 001; Tieniu Tan (AAAI, 2020)

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. - Yufeng Zhang; Xueli Yu; Zeyu Cui; Shu Wu; Zhongzhen Wen; Liang Wang 001 (ACL, 2020)

Streaming Graph Neural Networks via Continual Learning. - Junshan Wang; Guojie Song; Yi Wu; Liang Wang 001 (CIKM, 2020)

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. - Feng Yu 001; Zhaocheng Liu; Qiang Liu 006; Haoli Zhang; Shu Wu; Liang Wang 001 (CIKM, 2020)

Cross-Modal Cross-Domain Moment Alignment Network for Person Search. - Ya Jing; Wei Wang 115; Liang Wang 001; Tieniu Tan (CVPR, 2020)

Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach. - Zerui Chen; Yan Huang 008; Hongyuan Yu; Bin Xue; Ke Han; Yiru Guo; Liang Wang 001 (ECCV (3), 2020)

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification. - Ke Han; Yan Huang 008; Zerui Chen; Liang Wang 001; Tieniu Tan (ECCV (26), 2020)

Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. - Chenyang Si; Xuecheng Nie; Wei Wang 115; Liang Wang 001; Tieniu Tan; Jiashi Feng (ECCV (7), 2020)

Dynamic Graph Collaborative Filtering. - Xiaohan Li 001; Mengqi Zhang; Shu Wu; Zheng Liu 017; Liang Wang 001; Philip S. Yu (ICDM, 2020)

On the Robustness of 3D Human Pose Estimation. - Zerui Chen; Yan Huang 008; Liang Wang 001 (ICPR, 2020)

Efficient Super Resolution by Recursive Aggregation. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (ICPR, 2020)

VSR++: Improving Visual Semantic Reasoning for Fine-Grained Image-Text Matching. - Hui Yuan; Yan Huang 008; Dongbo Zhang 003; Zerui Chen; Wenlong Cheng; Liang Wang 001 (ICPR, 2020)

A Comparative Study on Autism Spectrum Disorder Detection via 3D Convolutional Neural Networks. - Kaijie Zhang; Wei Wang 115; Yijun Guo; Caifeng Shan; Liang Wang 001 (ICPR Workshops (1), 2020)

Textual Dependency Embedding for Person Search by Language. - Kai Niu 002; Yan Huang 008; Liang Wang 001 (ACM Multimedia, 2020)

Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition. - Yi-Fan Song; Zhang Zhang 001; Caifeng Shan; Liang Wang 001 (ACM Multimedia, 2020)

Unfolding the Alternating Optimization for Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (NeurIPS, 2020)

Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation. - Jianhua Yang; Yan Huang 008; Linjiang Huang; Yunbo Wang; Zhanyu Ma; Liang Wang 001 (PRCV (1), 2020)

TFNet: Multi-Semantic Feature Interaction for CTR Prediction. - Shu Wu; Feng Yu 001; Xueli Yu; Qiang Liu 006; Liang Wang 001; Tieniu Tan; Jie Shao; Fan Huang (SIGIR, 2020)

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. - Feng Yu 001; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (SIGIR, 2020)

Deep Graph Contrastive Representation Learning. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2020)

On Learning Semantic Representations for Million-Scale Free-Hand Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (CoRR, 2020)

Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation. - Hongyuan Yu; Yan Huang 008; Lihong Pi; Liang Wang 001 (CoRR, 2020)

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Shu Wu; Liang Wang 001 (CoRR, 2020)

Deep Active Graph Representation Learning. - Yanqiao Zhu 001; Weizhi Xu 002; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2020)

Actor and Action Modular Network for Text-based Video Segmentation. - Jianhua Yang; Yan Huang 008; Kai Niu 002; Zhanyu Ma; Liang Wang 001 (CoRR, 2020)

Heterogeneous Graph Collaborative Filtering. - Zekun Li 001; Yujia Zheng 001; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (CoRR, 2020)

Robust Object Tracking via Information Theoretic Measures. - Weining Wang 001; Qi Li 005; Liang Wang 001 (Int. J. Autom. Comput., 2020)

Frame-GAN: Increasing the frame rate of gait videos with generative adversarial networks. - Wei Xue; Hong Ai; Tianyu Sun; Chunfeng Song; Yan Huang 008; Liang Wang 001 (Neurocomputing, 2020)

Image and Sentence Matching via Semantic Concepts and Order Learning. - Yan Huang 008; Qi Wu 001; Wei Wang 115; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Relational graph neural network for situation recognition. - Ya Jing; Junbo Wang 003; Wei Wang 115; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2020)

Re-ranking image-text matching by adaptive metric fusion. - Kai Niu 002; Yan Huang 008; Liang Wang 001 (Pattern Recognit., 2020)

Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network. - Chenyang Si; Ya Jing; Wei Wang 115; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2020)

Long video question answering: A Matching-guided Attention Model. - Weining Wang 001; Yan Huang 008; Liang Wang 001 (Pattern Recognit., 2020)

Learning visual relationship and context-aware attention for image captioning. - Junbo Wang 003; Wei Wang 115; Liang Wang 001; Zhiyong Wang 001; David Dagan Feng; Tieniu Tan (Pattern Recognit., 2020)

Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection. - Kun Hu; Zhiyong Wang 001; Wei Wang 115; Kaylena A. Ehgoetz Martens; Liang Wang 001; Tieniu Tan; Simon J. G. Lewis; David Dagan Feng (IEEE Trans. Image Process., 2020)

Deep Unbiased Embedding Transfer for Zero-Shot Learning. - Zhen Jia; Zhang Zhang 001; Liang Wang 001; Caifeng Shan; Tieniu Tan (IEEE Trans. Image Process., 2020)

Attribute-Guided Attention for Referring Expression Generation and Comprehension. - Jingyu Liu 004; Wei Wang 115; Liang Wang 001; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2020)

Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments. - Kai Niu 002; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (IEEE Trans. Image Process., 2020)

Cross-View Gait Recognition by Discriminative Feature Learning. - Yuqi Zhang 001; Yongzhen Huang; Shiqi Yu 001; Liang Wang 001 (IEEE Trans. Image Process., 2020)

MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. - Qiang Cui 002; Shu Wu; Qiang Liu 006; Wen Zhong; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. - Dongyu She; Jufeng Yang; Ming-Ming Cheng; Yu-Kun Lai; Paul L. Rosin; Liang Wang 001 (IEEE Trans. Multim., 2020)

Self-Paced Balance Learning for Clinical Skin Disease Recognition. - Jufeng Yang; Xiaoping Wu; Jie Liang 007; Xiaoxiao Sun 002; Ming-Ming Cheng; Paul L. Rosin; Liang Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Graph-based Relevance Matching Model for Ad-hoc Retrieval. - Yufeng Zhang; Jinghao Zhang; Zeyu Cui; Shu Wu; Liang Wang 001 (AAAI, 2021)

Fully Hyperbolic Graph Convolution Network for Recommendation. - Liping Wang; Fenyu Hu; Shu Wu; Liang Wang 001 (CIKM, 2021)

Label-informed Graph Structure Learning for Node Classification. - Liping Wang; Fenyu Hu; Shu Wu; Liang Wang 001 (CIKM, 2021)

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. - Shiyang Wen; Yiran Chen 012; Zhi Yang 001; Yan Zhang 117; Di Zhang; Liang Wang 001; Bo Zheng 007 (CIKM, 2021)

Relation-aware Heterogeneous Graph for User Profiling. - Qilong Yan; Yufeng Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2021)

Global2Local: Efficient Structure Search for Video Action Segmentation. - Shang-Hua Gao; Qi Han 007; Zhong-Yu Li 006; Pai Peng; Liang Wang 001; Ming-Ming Cheng (CVPR, 2021)

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation. - Ya Jing; Tao Kong; Wei Wang 115; Liang Wang 001; Lei Li 005; Tieniu Tan (CVPR, 2021)

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CVPR, 2021)

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. - Gang Xu; Jun Xu 019; Zhen Li 031; Liang Wang 001; Xing Sun 001; Ming-Ming Cheng (CVPR, 2021)

HID 2021: Competition on Human Identification at a Distance 2021. - Shiqi Yu 001; Yongzhen Huang; Liang Wang 001; Yasushi Makihara; Edel B. García Reyes; Feng Zheng; Md Atiqur Rahman Ahad; Beibei Lin; Yuchao Yang; Haijun Xiong; Binyuan Huang; Yuxuan Zhang (IJCB, 2021)

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization. - Linjiang Huang; Liang Wang 001; Hongsheng Li 001 (ICCV, 2021)

Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition. - Mengmeng Cui; Wei Wang 115; Jinjin Zhang; Liang Wang 001 (ICDAR (4), 2021)

CMF: Cascaded Multi-Model Fusion For Referring Image Segmentation. - Jianhua Yang; Yan Huang 008; Zhanyu Ma; Liang Wang 001 (ICIP, 2021)

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. - Zhengxiong Luo 001; Zhicheng Wang 001; Yuanhao Cai; Guan'an Wang; Liang Wang 001; Yan Huang 008; Erjin Zhou; Tieniu Tan; Jian Sun 001 (ICME, 2021)

Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. - Wentao Chen; Chenyang Si; Wei Wang 115; Liang Wang 001; Zilei Wang; Tieniu Tan (IJCAI, 2021)

ROD: Reception-aware Online Distillation for Sparse Graphs. - Wentao Zhang 001; Yuezihan Jiang; Yang Li 106; Zeang Sheng; Yu Shen 003; Xupeng Miao; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (KDD, 2021)

Neighbor-view Enhanced Model for Vision and Language Navigation. - Dong An 002; Yuankai Qi; Yan Huang 008; Qi Wu 001; Liang Wang 001; Tieniu Tan (ACM Multimedia, 2021)

Mining Latent Structures for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Shuhui Wang; Liang Wang 001 (ACM Multimedia, 2021)

Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision. - Keji He; Yan Huang 008; Qi Wu 001; Jianhua Yang; Dong An 002; Shuanglin Sima; Liang Wang 001 (NeurIPS, 2021)

Joint Learning Appearance and Motion Models for Visual Tracking. - Wenmei Xu; Hongyuan Yu; Wei Wang 115; Chenglong Li 002; Liang Wang 001 (PRCV (1), 2021)

Motif-aware Sequential Recommendation. - Zeyu Cui; Yinjiang Cai; Shu Wu; Xibo Ma; Liang Wang 001 (SIGIR, 2021)

Graph Contrastive Learning with Adaptive Augmentation. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2021)

Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. - Xueli Yu; Weizhi Xu 002; Zeyu Cui; Shu Wu; Liang Wang 001 (WWW, 2021)

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2021)

Deep Graph Structure Learning for Robust Representations: A Survey. - Yanqiao Zhu 001; Weizhi Xu 002; Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2021)

Graph Classification by Mixture of Diverse Experts. - Fenyu Hu; Liping Wang; Shu Wu; Liang Wang 001; Tieniu Tan (CoRR, 2021)

Learning Domain Invariant Representations for Generalizable Person Re-Identification. - Yifan Zhang 004; Hanlin Zhang 002; Zhang Zhang 001; Da Li 003; Zhen Jia; Liang Wang 001; Tieniu Tan (CoRR, 2021)

DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. - Zeyu Cui; Zekun Li 001; Shu Wu; Xiaoyu Zhang 002; Qiang Liu 006; Liang Wang 001; Mengmeng Ai (CoRR, 2021)

Dynamic Graph Neural Networks for Sequential Recommendation. - Mengqi Zhang; Shu Wu; Xueli Yu; Liang Wang 001 (CoRR, 2021)

FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution. - Jiayi Lin 002; Yan Huang 008; Liang Wang 001 (CoRR, 2021)

End-to-end Alternating Optimization for Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (CoRR, 2021)

Adaptive Dilated Convolution For Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CoRR, 2021)

Deep Contrastive Learning for Multi-View Network Embedding. - Mengqi Zhang; Yanqiao Zhu 001; Shu Wu; Liang Wang 001 (CoRR, 2021)

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang; Shu Wu; Liang Wang 001 (CoRR, 2021)

PokerNet: Expanding Features Cheaply via Depthwise Convolutions. - Wei Tang 016; Yan Huang 008; Liang Wang 001 (Int. J. Autom. Comput., 2021)

Mask-guided contrastive attention and two-stream metric co-learning for person Re-identification. - Chunfeng Song; Caifeng Shan; Yan Huang 008; Liang Wang 001 (Neurocomputing, 2021)

Adaptive super-resolution for person re-identification with low-resolution images. - Ke Han; Yan Huang 008; Chunfeng Song; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2021)

GraphAIR: Graph representation learning with neighborhood aggregation and interaction. - Fenyu Hu; Yanqiao Zhu 001; Shu Wu; Weiran Huang 002; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2021)

End-to-end video text detection with online tracking. - Hongyuan Yu; Yan Huang 008; Lihong Pi; Chengquan Zhang; Xuan Li; Liang Wang 001 (Pattern Recognit., 2021)

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - Wentao Zhang 001; Zhi Yang 001; Yexin Wang; Yu Shen 003; Yang Li 106; Liang Wang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

On Learning Semantic Representations for Large-Scale Abstract Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition. - Yi-Fan Song; Zhang Zhang 001; Caifeng Shan; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Deep Self-Supervised Representation Learning for Free-Hand Sketch. - Peng Xu 005; Zeyu Song; Qiyue Yin; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Attribute Prototype Learning for Interactive Face Retrieval. - Yuchun Fang; Zhengye Xiao; Wei Zhang; Yan Huang 008; Liang Wang 001; Nozha Boujemaa; Donald Geman (IEEE Trans. Inf. Forensics Secur., 2021)

Modeling Sub-Actions for Weakly Supervised Temporal Action Localization. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (IEEE Trans. Image Process., 2021)

Learning Aligned Image-Text Representations Using Graph Attentive Relational Network. - Ya Jing; Wei Wang 115; Liang Wang 001; Tieniu Tan (IEEE Trans. Image Process., 2021)

Bifurcated Backbone Strategy for RGB-D Salient Object Detection. - Yingjie Zhai; Deng-Ping Fan; Jufeng Yang; Ali Borji; Ling Shao 001; Junwei Han 001; Liang Wang 001 (IEEE Trans. Image Process., 2021)

Incremental Generative Occlusion Adversarial Suppression Network for Person ReID. - Cairong Zhao; Xinbi Lv; Shuguang Dou; Shanshan Zhang 001; Jun Wu 006; Liang Wang 001 (IEEE Trans. Image Process., 2021)

Disentangled Item Representation for Recommender Systems. - Zeyu Cui; Feng Yu 001; Shu Wu; Qiang Liu 006; Liang Wang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. - Xingxu Yao; Dongyu She; Haiwei Zhang; Jufeng Yang; Ming-Ming Cheng; Liang Wang 001 (IEEE Trans. Multim., 2021)

Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters. - Xuecai Hu; Zhang Zhang 001; Caifeng Shan; Zilei Wang; Liang Wang 001; Tieniu Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption. - Ke Han; Chenyang Si; Yan Huang 008; Liang Wang 001; Tieniu Tan (AAAI, 2022)

3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification. - Ke Han; Yan Huang 008; Shaogang Gong; Liang Wang 001; Tieniu Tan (ACCV (5), 2022)

Fusion Tree Network for RGBT Tracking. - Zhiyuan Cheng 012; Andong Lu; Zhang Zhang 001; Chenglong Li 002; Liang Wang 001 (AVSS, 2022)

Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation. - Chenyang Su; Qiang Liu 006; Liang Wang 001 (CCIS, 2022)

Second-Order Global Attention Networks for Graph Classification and Regression. - Fenyu Hu; Zeyu Cui; Shu Wu; Qiang Liu 006; Jinlin Wu; Liang Wang 001; Tieniu Tan (CICAI (2), 2022)

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. - Yucheng Lu; Qiang Ji; Liang Wang 001; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. - Xuanhua Yang; Xiaoyu Peng; Penghui Wei; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CIKM, 2022)

Deep Contrastive Multiview Network Embedding. - Mengqi Zhang; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2022)

Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. - Chaowei Fang; Liang Wang 001; Dingwen Zhang; Jun Xu 019; Yixuan Yuan; Junwei Han 001 (CVPR, 2022)

Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation. - Linjiang Huang; Liang Wang 001; Hongsheng Li 001 (CVPR, 2022)

A Multimodal Off-Road Terrain Classification Benchmark for Extraterrestrial Traversability Analysis. - Huang Huang; Yi Yang; Liang Tang; Zhang Zhang 001; Nailong Liu; Mou Li; Liang Wang 001 (CyberC, 2022)

Multi-Cause Learning for Diagnosis Prediction. - Liping Wang; Qiang Liu 006; Huanhuan Ma; Shu Wu; Liang Wang 001 (DMBD (1), 2022)

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. - Wentao Chen; Zhang Zhang 001; Wei Wang 115; Liang Wang 001; Zilei Wang; Tieniu Tan (ECCV (20), 2022)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 2022)

HID 2022: The 3rd International Competition on Human Identification at a Distance. - Shiqi Yu 001; Yongzhen Huang; Liang Wang 001; Yasushi Makihara; Shengjin Wang; Md Atiqur Rahman Ahad; Mark S. Nixon (IJCB, 2022)

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. - Yuezihan Jiang; Yu Cheng; Hanyu Zhao; Wentao Zhang 001; Xupeng Miao; Yu He; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (ICDE, 2022)

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. - Zhirong Xu; Shiyang Wen; Junshan Wang; Guojun Liu; Liang Wang 001; Zhi Yang 001; Lei Ding; Yan Zhang 117; Di Zhang; Jian Xu 015; Bo Zheng 007 (ICDE, 2022)

Dynamic Collaboration Convolution for Robust RGBT Tracking. - Liang Liu; Andong Lu; Chenglong Li 002; Yan Huang 008; Liang Wang 001 (ICPR, 2022)

GraphDIVE: Graph Classification by Mixture of Diverse Experts. - Fenyu Hu; Liping Wang; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (IJCAI, 2022)

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. - Hongyuan Yu; Ting Li; Weichen Yu; Jianguo Li; Yan Huang 008; Liang Wang 001; Alex X. Liu (IJCAI, 2022)

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Shuo Yuan; Xuming He 001; Liang Wang 001; Bo Zheng 007 (KDD, 2022)

Streaming Graph Neural Networks with Generative Replay. - Junshan Wang; Wenhao Zhu; Guojie Song; Liang Wang 001 (KDD, 2022)

Cross-modal Co-occurrence Attributes Alignments for Person Search by Language. - Kai Niu 002; Linjiang Huang; Yan Huang 008; Peng Wang 015; Liang Wang 001; Yanning Zhang 001 (ACM Multimedia, 2022)

Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. - Chaowei Fang; Dingwen Zhang; Liang Wang 001; Yulun Zhang 001; Lechao Cheng; Junwei Han 001 (ACM Multimedia, 2022)

Generalized Inter-class Loss for Gait Recognition. - Weichen Yu; Hongyuan Yu; Yan Huang 008; Liang Wang 001 (ACM Multimedia, 2022)

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. - Penghui Wei; Xuanhua Yang; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (NAACL-HLT (Industry Papers), 2022)

MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching. - Yan Huang 008; Yuming Wang; Yunan Zeng; Liang Wang 001 (NeurIPS, 2022)

Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. - Penghui Wei; Shaoguo Liu; Xuanhua Yang; Liang Wang 001; Bo Zheng 007 (SIGIR, 2022)

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. - Penghui Wei; Weimin Zhang; Ruijie Hou; Jinquan Liu; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (SIGIR, 2022)

DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. - Chenchen Feng; Yu He; Shiyang Wen; Guojun Liu; Liang Wang 001; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2022)

Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. - Xiaojun Ma; Qin Chen; Yuanyi Ren; Guojie Song; Liang Wang 001 (WWW, 2022)

Evidence-aware Fake News Detection with Graph Neural Networks. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2022)

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. - Zixuan Xu; Penghui Wei; Weimin Zhang; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (WWW, 2022)

Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2022)

Learning the Degradation Distribution for Blind Image Super-Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (CoRR, 2022)

1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022). - Dong An 002; Zun Wang; Yangguang Li 001; Yi Wang; Yicong Hong; Yan Huang 008; Liang Wang 001; Jing Shao (CoRR, 2022)

MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising. - Xiao Wang; Shaoguo Liu; Yidong Jia; Yuxin Fu; Yufang Yu; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. - Gang Xu; Yuchen Yang; Jun Xu 019; Liang Wang 001; Xiantong Zhen; Ming-Ming Cheng (CoRR, 2022)

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. - Wentao Chen; Zhang Zhang 001; Wei Wang 025; Liang Wang 001; Zilei Wang; Tieniu Tan (CoRR, 2022)

Domain-Specific Risk Minimization. - Yifan Zhang 004; Jindong Wang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (CoRR, 2022)

Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. - Zihan Lin; Xuanhua Yang; Shaoguo Liu; Xiaoyu Peng; Wayne Xin Zhao; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

CNTN: Cyclic Noise-tolerant Network for Gait Recognition. - Weichen Yu; Hongyuan Yu; Yan Huang 008; Chunshui Cao; Liang Wang 001 (CoRR, 2022)

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. - Zixuan Xu; Penghui Wei; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CoRR, 2022)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (CoRR, 2022)

BEVBert: Topo-Metric Map Pre-training for Language-guided Navigation. - Dong An 002; Yuankai Qi; Yangguang Li 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Jing Shao (CoRR, 2022)

Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search. - Zerui Chen; Yan Huang 008; Hongyuan Yu; Liang Wang 001 (Int. J. Comput. Vis., 2022)

Efficient convolutional networks learning through irregular convolutional kernels. - Weiyu Guo; Jiabin Ma; Yidong Ouyang; Liang Wang 001; Yongzhen Huang (Neurocomputing, 2022)

Focal and efficient IOU loss for accurate bounding box regression. - Yifan Zhang 004; Weiqiang Ren; Zhang Zhang 001; Zhen Jia; Liang Wang 001; Tieniu Tan (Neurocomputing, 2022)

Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization. - Linjiang Huang; Yan Huang 008; Wanli Ouyang; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory. - Yan Huang 008; Jingdong Wang 001; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Graph Metric Learning for Weakly Supervised Person Re-Identification. - Jingke Meng; Wei-Shi Zheng 001; Jian-Huang Lai; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. - Lei Zhang 038; Zhenwei He; Yi Yang 001; Liang Wang 001; Xinbo Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Velocity-to-velocity human motion forecasting. - Hongsong Wang; Liang Wang 001; Jiashi Feng; Daquan Zhou (Pattern Recognit., 2022)

Joint Token and Feature Alignment Framework for Text-Based Person Search. - Shangze Li; Andong Lu; Yan Huang 008; Chenglong Li 002; Liang Wang 001 (IEEE Signal Process. Lett., 2022)

RGBT Tracking by Trident Fusion Network. - Yabin Zhu; Chenglong Li 002; Jin Tang 001; Bin Luo 001; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Detecting Overlapped Objects in X-Ray Security Imagery by a Label-Aware Mechanism. - Cairong Zhao; Liang Zhu; Shuguang Dou; Weihong Deng; Liang Wang 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Multi-Modality Self-Distillation for Weakly Supervised Temporal Action Localization. - Linjiang Huang; Liang Wang 001; Hongsheng Li 001 (IEEE Trans. Image Process., 2022)

Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition. - Peng Wang 100; Jun Wen; Chenyang Si; Yuntao Qian; Liang Wang 001 (IEEE Trans. Image Process., 2022)

Actor and Action Modular Network for Text-Based Video Segmentation. - Jianhua Yang; Yan Huang 008; Kai Niu 002; Linjiang Huang; Zhanyu Ma; Liang Wang 001 (IEEE Trans. Image Process., 2022)

Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. - Mengqi Zhang; Shu Wu; Meng Gao; Xin Jiang 008; Ke Xu 001; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Semi-Supervised Temporal Action Proposal Generation via Exploiting 2-D Proposal Map. - Weining Wang 001; Tianwei Lin; Dongliang He; Fu Li 003; Shilei Wen; Liang Wang 001; Jing Liu 001 (IEEE Trans. Multim., 2022)

Counterfactual Debiasing for Fact Verification. - Weizhi Xu 002; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

Learning Latent Relations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

PPI-NET: End-to-End Parametric Primitive Inference. - Liang Wang 001; Xiaogang Wang 005 (CGI (4), 2023)

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. - Shanlei Mu; Penghui Wei; Wayne Xin Zhao; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (CIKM, 2023)

Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels. - Jingqiu Zhou; Linjiang Huang; Liang Wang 001; Si Liu 001; Hongsheng Li 001 (CVPR, 2023)

Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. - Xin Sun; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (EMNLP (Findings), 2023)

Human Identification at a Distance: Challenges, Methods and Results on HID 2023. - Shiqi Yu 001; Chenye Wang; Yuwei Zhao; Li Wang 033; Ming Wang; Qing Li 015; Wenlong Li; Runsheng Wang; Yongzhen Huang; Liang Wang 001; Yasushi Makihara; Md Atiqur Rahman Ahad (IJCB, 2023)

Multi-semantic Fusion Model For Generalized Zero-Shot Skeleton-Based Action Recognition. - Ming-Zhe Li; Zhen Jia; Zhang Zhang 001; Zhanyu Ma; Liang Wang 001 (ICIG (1), 2023)

Free Lunch for Domain Adversarial Training: Environment Label Smoothing. - Yifan Zhang 004; Xue Wang 010; Jian Liang 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (ICLR, 2023)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. - Jiaqi Guan; Xiangxin Zhou; Yuwei Yang; Yu Bao; Jian Peng 001; Jianzhu Ma; Qiang Liu 006; Liang Wang 001; Quanquan Gu (ICML, 2023)

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. - Yifan Zhang 004; Xue Wang 010; Kexin Jin; Kun Yuan 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (ICML, 2023)

Exploring Model Dynamics for Accumulative Poisoning Discovery. - Jianing Zhu; Xiawei Guo; Jiangchao Yao; Chao Du; Li He; Shuo Yuan; Tongliang Liu; Liang Wang 001; Bo Han 003 (ICML, 2023)

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. - Yi Wu; Yanyang Xu; Wenhao Zhu; Guojie Song; Zhouchen Lin; Liang Wang 001; Shaoguo Liu (IJCAI, 2023)

Hierarchical Transformer for Scalable Graph Learning. - Wenhao Zhu; Tianyu Wen; Guojie Song; Xiaojun Ma; Liang Wang 001 (IJCAI, 2023)

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. - Wuyang Mao; Chuanren Liu; Yundu Huang; Zhonglin Zu; M. Harshvardhan; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. - Haozhe Wang 002; Chao Du; Panyan Fang; Li He; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. - Penghui Wei; Yongqiang Chen; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

Domain-Specific Risk Minimization for Domain Generalization. - Yifan Zhang 004; Jindong Wang 001; Jian Liang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (KDD, 2023)

On Structural Expressive Power of Graph Transformers. - Wenhao Zhu; Tianyu Wen; Guojie Song; Liang Wang 001; Bo Zheng 007 (KDD, 2023)

Causal Intervention for Sparse-View Gait Recognition. - Jilong Wang 010; Saihui Hou; Yan Huang 008; Chunshui Cao; Xu Liu 008; Yongzhen Huang; Liang Wang 001 (ACM Multimedia, 2023)

Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation. - Keji He; Chenyang Si; Zhihe Lu; Yan Huang 008; Liang Wang 001; Xinchao Wang (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (NeurIPS, 2023)

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. - Yifan Zhang 004; Qingsong Wen; Xue Wang 010; Weiqi Chen; Liang Sun 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (NeurIPS, 2023)

Combating Bilateral Edge Noise for Robust Link Prediction. - Zhanke Zhou; Jiangchao Yao; Jiaxu Liu; Xiawei Guo; Quanming Yao; Li He; Liang Wang 001; Bo Zheng 007; Bo Han 003 (NeurIPS, 2023)

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. - Penghui Wei; Hongjian Dou; Shaoguo Liu; Rongjun Tang; Li Liu 036; Liang Wang 001; Bo Zheng 007 (SIGIR, 2023)

Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. - Xuanhua Yang; Jianxin Zhao; Shaoguo Liu; Liang Wang 001; Bo Zheng 007 (SIGIR, 2023)

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. - Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (SIGIR, 2023)

Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. - Liang Dai; Zhonglin Zu; Hao Wu 075; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. - Xiaojun Ma; Qin Chen; Yi Wu; Guojie Song; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. - Zixuan Xu; Penghui Wei; Shaoguo Liu; Weimin Zhang; Liang Wang 001; Bo Zheng 007 (WWW, 2023)

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2023)

Edge Preserving Implicit Surface Representation of Point Clouds. - Xiaogang Wang 005; Yuhang Cheng; Liang Wang 001; Jiangbo Lu; Kai Xu 004; Guoqiang Xiao 001 (CoRR, 2023)

Knowledge Augmented Relation Inference for Group Activity Recognition. - Xianglong Lang; Zhuming Wang; Zun Li 001; Meng Tian; Ge Shi 002; Lifang Wu; Liang Wang 001 (CoRR, 2023)

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation. - Zhengxiong Luo 001; Dayou Chen; Yingya Zhang; Yan Huang 008; Liang Wang 001; Yujun Shen; Deli Zhao; Jingren Zhou 001; Tieniu Tan (CoRR, 2023)

Semantic Prompt for Few-Shot Image Recognition. - Wentao Chen; Chenyang Si; Zhang Zhang 001; Liang Wang 001; Zilei Wang; Tieniu Tan (CoRR, 2023)

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. - Qiang Liu 006; Zhaocheng Liu; Zhenxi Zhu; Shu Wu; Liang Wang 001 (CoRR, 2023)

Free Lunch for Gait Recognition: A Novel Relation Descriptor. - Jilong Wang 010; Saihui Hou; Yan Huang 008; Chunshui Cao; Xu Liu 008; Yongzhen Huang; Liang Wang 001 (CoRR, 2023)

Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark. - Andong Lu; Zhang Zhang 001; Yan Huang 008; Yifan Zhang 004; Chenglong Li 002; Jin Tang 001; Liang Wang 001 (CoRR, 2023)

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

TCGF: A unified tensorized consensus graph framework for multi-view representation learning. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

VI-Diff: Unpaired Visible-Infrared Translation Diffusion Model for Single Modality Labeled Visible-Infrared Person Re-identification. - Han Huang; Yan Huang 008; Liang Wang 001 (CoRR, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. - Huanhuan Ma; Weizhi Xu 002; Yifan Wei 001; Liuji Chen; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

Learning against Non-credible Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Model-free Test Time Adaptation for Out-Of-Distribution Detection. - Yifan Zhang 004; Xue Wang 010; Tian Zhou 004; Kun Yuan 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (CoRR, 2023)

Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors. - Yifan Zhang 004; Zhang Zhang 001; Liang Wang 001; Tieniu Tan; Rong Jin 001 (CoRR, 2023)

AI in Human-computer Gaming: Techniques, Challenges and Opportunities. - Qiyue Yin; Jun Yang 028; Kaiqi Huang; Meijing Zhao; Wancheng Ni; Bin Liang 001; Yan Huang 008; Shu Wu; Liang Wang 001 (Int. J. Autom. Comput., 2023)

Deep Learning for Free-Hand Sketch: A Survey. - Peng Xu 005; Timothy M. Hospedales; Qiyue Yin; Yi-Zhe Song; Tao Xiang 002; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition. - Yi-Fan Song; Zhang Zhang 001; Caifeng Shan; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cyclic Differentiable Architecture Search. - Hongyuan Yu; Houwen Peng; Yan Huang 008; Jianlong Fu; Hao Du 006; Liang Wang 001; Haibin Ling (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Few-shot learning with unsupervised part discovery and part-aligned similarity. - Wentao Chen; Zhang Zhang 001; Wei Wang 025; Liang Wang 001; Zilei Wang; Tieniu Tan (Pattern Recognit., 2023)

SiamON: Siamese Occlusion-Aware Network for Visual Tracking. - Chao Fan 001; Hongyuan Yu; Yan Huang 008; Caifeng Shan; Liang Wang 001; Chenglong Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling. - Da Li 003; Zhang Zhang 001; Caifeng Shan; Liang Wang 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Progressive Sub-Domain Information Mining for Single-Source Generalizable Gait Recognition. - Yang Wang 103; Yan Huang 023; Caifeng Shan; Liang Wang 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Pose-Appearance Relational Modeling for Video Action Recognition. - Mengmeng Cui; Wei Wang 115; Kunbo Zhang; Zhenan Sun; Liang Wang 001 (IEEE Trans. Image Process., 2023)

Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training. - Chong Liu 002; Yuqi Zhang 001; Hongsong Wang; Weihua Chen; Fan Wang 019; Yan Huang 008; Yi-Dong Shen; Liang Wang 001 (IEEE Trans. Image Process., 2023)

Improving Inconspicuous Attributes Modeling for Person Search by Language. - Kai Niu 002; Tao Huang; Linjiang Huang; Liang Wang 001; Yanning Zhang 001 (IEEE Trans. Image Process., 2023)

Learning Domain Invariant Representations for Generalizable Person Re-Identification. - Yifan Zhang 004; Zhang Zhang 001; Da Li 003; Zhen Jia; Liang Wang 001; Tieniu Tan (IEEE Trans. Image Process., 2023)

A Reconstruction-Based Visual-Acoustic-Semantic Embedding Method for Speech-Image Retrieval. - Wenlong Cheng; Wei Tang 016; Yan Huang 008; Yiwen Luo; Liang Wang 001 (IEEE Trans. Multim., 2023)

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. - Shanghua Gao; Zhong-Yu Li 006; Qi Han 007; Ming-Ming Cheng; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Efficient Image and Sentence Matching. - Yan Huang 008; Yuming Wang; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CASIA-E: A Large Comprehensive Dataset for Gait Recognition. - Chunfeng Song; Yongzhen Huang; Weining Wang 001; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deeply Explain CNN Via Hierarchical Decomposition. - Ming-Ming Cheng; Peng-Tao Jiang; Linghao Han; Liang Wang 001; Philip H. S. Torr (Int. J. Comput. Vis., 2023)

Dynamic Graph Neural Networks for Sequential Recommendation. - Mengqi Zhang; Shu Wu; Xueli Yu; Qiang Liu 006; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dual-focus transfer network for zero-shot learning. - Zhen Jia; Zhang Zhang 001; Caifeng Shan; Liang Wang 001; Tieniu Tan (Neurocomputing, 2023)

RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. - Qiang Liu 006; Yingtao Luo; Shu Wu; Zhen Zhang; Xiangnan Yue; Hong Jin; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. - Kun Hu; Shaohui Mei; Wei Wang 115; Kaylena A. Ehgoetz Martens; Liang Wang 001; Simon J. G. Lewis; David D. Feng; Zhiyong Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. - Chang Zhang; Xiangzhu Meng; Qiang Liu 006; Shu Wu; Liang Wang 001; Huansheng Ning (Neurocomputing, 2023)

End-to-End Alternating Optimization for Real-World Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (Int. J. Comput. Vis., 2023)

Teach-DETR: Better Training DETR With Teachers. - Linjiang Huang; Kaixin Lu; Guanglu Song; Liang Wang 001; Si Liu 001; Yu Liu 015; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diag-IoU Loss for Object Detection. - Shuangqing Zhang; Chenglong Li 002; Zhen Jia; Lei Liu 049; Zhang Zhang 001; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Rethinking Graph Masked Autoencoders through Alignment and Uniformity. - Liang Wang 001; Xiang Tao; Qiang Liu 006; Shu Wu; Liang Wang 056 (AAAI, 2024)

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. - Liang Dai; Kejie Lyu; Chengcheng Zhang; Guangming Zhao; Zhonglin Zu; Liang Wang 001; Bo Zheng 007 (AAAI, 2024)

Text-Guided Molecule Generation with Diffusion Language Model. - Haisong Gong; Qiang Liu 006; Shu Wu; Liang Wang 001 (AAAI, 2024)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. - Junfei Wu; Qiang Liu 006; Ding Wang; Jinghao Zhang; Shu Wu; Liang Wang 001; Tieniu Tan (ACL (Findings), 2024)

Stealthy Attack on Large Language Model based Recommendation. - Jinghao Zhang; Yuting Liu 003; Qiang Liu 006; Shu Wu; Guibing Guo; Liang Wang 001 (ACL (1), 2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (CIKM, 2024)

Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability. - Yan Huang 008; Zhang Zhang 001; Qiang Wu 001; Yi Zhong 002; Liang Wang 001 (CVPR, 2024)

Investigating Compositional Challenges in Vision-Language Models for Visual Grounding. - Yunan Zeng; Yan Huang 008; Jinjin Zhang; Zequn Jie; Zhenhua Chai; Liang Wang 001 (CVPR, 2024)

Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. - Lingjun Xu; Haowen Li; Guojie Song; Liang Wang 001; Bo Zheng 007 (ECAI, 2024)

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts. - Zewen Chen; Haina Qin; Juan Wang 012; Chunfeng Yuan; Bing Li 001; Weiming Hu; Liang Wang 001 (ECCV (1), 2024)

Free Lunch for Gait Recognition: A Novel Relation Descriptor. - Jilong Wang 010; Saihui Hou; Yan Huang 008; Chunshui Cao; Xu Liu 008; Yongzhen Huang; Tianzhu Zhang 001; Liang Wang 001 (ECCV (38), 2024)

Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. - Huanhuan Ma; Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (ICASSP, 2024)

Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024. - Shiqi Yu 001; Weiming Wu; Jiacong Hu; Zepeng Wang 002; Jingjie Wang; Meng Zhang; Runsheng Wang; Yunfei Ni; Yongzhen Huang; Liang Wang 001; Md. Atiqur Rahman Ahad (IJCB, 2024)

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. - Xiangxin Zhou; Xiwei Cheng; Yuwei Yang; Yu Bao; Liang Wang 001; Quanquan Gu (ICLR, 2024)

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. - Xiangxin Zhou; Liang Wang 001; Yichi Zhou (ICML, 2024)

AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. - Wenhao Zhu; Guojie Song; Liang Wang 001; Shaoguo Liu (IJCAI, 2024)

Learning Energy-Based Models for 3D Human Pose Estimation. - Xianglu Zhu; Zhang Zhang 001; Wei Wang 115; Zilei Wang; Liang Wang 001 (IJCNN, 2024)

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. - Xin Sun; Liang Wang 056; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (KDD, 2024)

Modality-Balanced Learning for Multimedia Recommendation. - Jinghao Zhang; Guofan Liu; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACM Multimedia, 2024)

Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor. - Keji He; Kehan Chen; Jiawang Bai; Yan Huang 008; Qi Wu 001; Shu-Tao Xia; Liang Wang 001 (NeurIPS, 2024)

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark. - Han Huang; Haitian Zhong; Tao Yu; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (NeurIPS, 2024)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. - Xiangxin Zhou; Jiaqi Guan; Yijia Zhang; Xingang Peng; Liang Wang 001; Jianzhu Ma (NeurIPS, 2024)

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. - Xiangxin Zhou; Dongyu Xue; Ruizhe Chen; Zaixiang Zheng; Liang Wang 001; Quanquan Gu (NeurIPS, 2024)

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. - Liang Wang 001; Hao Fu; Shu Wu; Qiang Liu 006; Xuelei Tan; Fangsheng Huang; Mengdi Zhang 002; Wei Wu 014 (SDM, 2024)

HDD4DBP: A Large-Scale Multi-Modal Benchmark on Driving Behavior Prediction. - Qinghui Dong; Zhang Zhang 001; Yubo Chang; Wentao Chen; Liang Wang 001 (SMC, 2024)

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. - Xiang Tao; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2024)

Elastic Multi-Gradient Descent for Parallel Continual Learning. - Fan Lyu; Wei Feng 005; Yuepan Li; Qing Sun; Fanhua Shang; Liang Wan; Liang Wang 001 (CoRR, 2024)

Knowledge Graph Supported Benchmark and Video Captioning for Basketball. - Zeyu Xi; Ge Shi 002; Lifang Wu; Xuefen Li; Junchi Yan; Liang Wang 001; Zilin Liu (CoRR, 2024)

Can Large Language Models Detect Rumors on Social Media? - Qiang Liu 006; Xiang Tao; Junfei Wu; Shu Wu; Liang Wang 001 (CoRR, 2024)

Variational Continual Test-Time Adaptation. - Fan Lyu; Kaile Du; Yuyang Li 005; Hanyu Zhao; Zhang Zhang 001; Guangcan Liu; Liang Wang 001 (CoRR, 2024)

Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 001; Shu Wu; Xiaoyu Zhang 002 (CoRR, 2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Debiasing Multimodal Large Language Models. - Yifan Zhang 004; Weichen Yu; Qingsong Wen; Xue Wang 010; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (CoRR, 2024)

KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. - Han Huang; Haitian Zhong; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (CoRR, 2024)

Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. - Yi Xiao; Xiangxin Zhou; Qiang Liu 006; Liang Wang 001 (CoRR, 2024)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. - Yifan Zhang 004; Weiqi Chen; Zhaoyang Zhu; Dalin Qin; Liang Sun 001; Xue Wang 010; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

Out-of-distribution Rumor Detection via Test-Time Adaptation. - Xiang Tao; Mingqing Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Overcoming Domain Drift in Online Continual Learning. - Fan Lyu; Daofeng Liu; Linglan Zhao; Zhang Zhang 001; Fanhua Shang; Fuyuan Hu; Wei Feng 005; Liang Wang 001 (CoRR, 2024)

Controllable Continual Test-Time Adaptation. - Ziqi Shi; Fan Lyu; Ye Liu; Fanhua Shang; Fuyuan Hu; Wei Feng 005; Zhang Zhang 001; Liang Wang 001 (CoRR, 2024)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation. - Jiayao Tan; Fan Lyu; Chenggong Ni; Tingliang Feng; Fuyuan Hu; Zhang Zhang 001; Shaochuang Zhao; Liang Wang 001 (CoRR, 2024)

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. - Yifan Zhang 004; Qingsong Wen; Chaoyou Fu; Xue Wang 010; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

SliceMamba for Medical Image Segmentation. - Chao Fan 001; Hongyuan Yu; Luo Wang; Yan Huang 008; Liang Wang 001; Xibin Jia (CoRR, 2024)

Navigating the Noisy Crowd: Finding Key Information for Claim Verification. - Haisong Gong; Huanhuan Ma; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. - Mengqi Zhang; Bowen Fang; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen; Liang Wang 001 (CoRR, 2024)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? - Yifan Zhang 004; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang 042; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; et al. (CoRR, 2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Liang Wang 056; Qiang Liu 006; Shaozhen Liu; Xin Sun; Shu Wu; Liang Wang 001 (CoRR, 2024)

TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior. - Sen Yang; Minyue Jiang; Ziwei Fan 004; Xiaolu Xie; Xiao Tan 001; Yingying Li; Errui Ding; Liang Wang 001; Jingdong Wang 001 (CoRR, 2024)

GOT4Rec: Graph of Thoughts for Sequential Recommendation. - Zewen Long; Liang Wang 001; Shu Wu; Qiang Liu 006; Liang Wang 056 (CoRR, 2024)

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs. - Chaoyou Fu; Yifan Zhang 004; Shukang Yin; Bo Li 080; Xinyu Fang; Sirui Zhao; Haodong Duan; Xing Sun 001; Ziwei Liu 002; Liang Wang 001; Caifeng Shan; Ran He 001 (CoRR, 2024)

Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments. - Kehan Chen; Dong An 002; Yan Huang 008; Rongtao Xu; Yifei Su; Yonggen Ling; Ian Reid 003; Liang Wang 001 (CoRR, 2024)

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting. - Huanyu Zhang; Chang Xu 008; Yifan Zhang 004; Zhang Zhang 001; Liang Wang 001; Jiang Bian 002; Tieniu Tan (CoRR, 2024)

Combinational sign language recognition. - Liqing Gao; Wei Feng 005; Fan Lyu; Liang Wang 001 (Comput. Vis. Image Underst., 2024)

Class Hierarchy-Guided Generalized Few-Shot Ship Detection in Remote Sensing Images. - Shuangqing Zhang; Zhang Zhang 001; Da Li 003; Zhen Jia; Chenglong Li 002; Liang Wang 001; Hanyu Zhao; Duo Wang (IEEE Geosci. Remote. Sens. Lett., 2024)

Cross-modal knowledge distillation for continuous sign language recognition. - Liqing Gao; Peng Shi; Lianyu Hu 003; Jichao Feng; Lei Zhu 003; Liang Wang 001; Wei Feng 005 (Neural Networks, 2024)

Memory-Adaptive Vision-and-Language Navigation. - Keji He; Ya Jing; Yan Huang 008; Zhihe Lu; Dong An 002; Liang Wang 001 (Pattern Recognit., 2024)

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (Pattern Recognit., 2024)

Self-Supervised Recovery and Guide for Low-Resolution Person Re-Identification. - Ke Han; Yan Huang 008; Liang Wang 001; Zikun Liu (IEEE Trans. Inf. Forensics Secur., 2024)

Enhancing Person Re-Identification Performance Through In Vivo Learning. - Yan Huang 008; Yan Huang 023; Zhang Zhang 001; Qiang Wu 001; Yi Zhong 002; Liang Wang 001 (IEEE Trans. Image Process., 2024)

Meta Clothing Status Calibration for Long-Term Person Re-Identification. - Yan Huang 023; Qiang Wu 001; Zhang Zhang 001; Caifeng Shan; Yan Huang 008; Yi Zhong 002; Liang Wang 001 (IEEE Trans. Image Process., 2024)

Comprehensive Attribute Prediction Learning for Person Search by Language. - Kai Niu 002; Linjiang Huang; Yuzhou Long; Yan Huang 008; Liang Wang 001; Yanning Zhang 001 (IEEE Trans. Image Process., 2024)

Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark. - Andong Lu; Zhang Zhang 001; Yan Huang 023; Yifan Zhang 004; Chenglong Li 002; Jin Tang 001; Liang Wang 001 (IEEE Trans. Multim., 2024)

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. - Hongying Liu 001; Zekun Li 001; Fanhua Shang; Yuanyuan Liu 001; Liang Wang 001; Wei Feng 005; Radu Timofte (Inf. Fusion, 2024)

Customized meta-dataset for automatic classifier accuracy evaluation. - Yan Huang 023; Zhang Zhang 001; Yan Huang 008; Qiang Wu 001; Han Huang; Yi Zhong 002; Liang Wang 001 (Pattern Recognit., 2024)

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. - Liping Wang; Qiang Liu 006; Mengqi Zhang; Yaxuan Hu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. - Zeyu Cui; Zekun Li 001; Shu Wu; Xiaoyu Zhang 002; Qiang Liu 006; Liang Wang 001; Mengmeng Ai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Wancheng Ni; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (Mach. Intell. Res., 2024)

Sign language translation with hierarchical memorized context in question answering scenarios. - Liqing Gao; Wei Feng 005; Peng Shi; Ruize Han; Di Lin 002; Liang Wang 001 (Neural Comput. Appl., 2024)

Text-to-Image Vehicle Re-Identification: Multi-Scale Multi-View Cross-Modal Alignment Network and a Unified Benchmark. - Leqi Ding; Lei Liu 049; Yan Huang 008; Chenglong Li 002; Cheng Zhang 010; Wei Wang 115; Liang Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

An Overview of Text-Based Person Search: Recent Advances and Future Directions. - Kai Niu 002; Yanyi Liu; Yuzhou Long; Yan Huang 008; Liang Wang 001; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Parametric Primitive Analysis of CAD Sketches With Vision Transformer. - Xiaogang Wang 005; Liang Wang 001; Hongyu Wu; Guoqiang Xiao 001; Kai Xu 004 (IEEE Trans. Ind. Informatics, 2024)

Human Image Generation: A Comprehensive Survey. - Zhen Jia; Zhang Zhang 001; Liang Wang 001; Tieniu Tan (ACM Comput. Surv., 2024)

Overcoming Modality Bias in Question-Driven Sign Language Video Translation. - Liqing Gao; Fan Lyu; Peng Shi; Lei Zhu 003; Junfu Pu; Liang Wang 001; Wei Feng 005 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Knowledge Augmented Relation Inference for Group Activity Recognition. - Zhuming Wang; Zun Li 001; Xianglong Lang; Yihao Zheng; Meng Tian; Lifang Wu; Liang Wang 001; Changwen Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. - Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Bi-Level Graph Structure Learning for Next POI Recommendation. - Liang Wang 056; Shu Wu; Qiang Liu 006; Yanqiao Zhu 001; Xiang Tao; Mengdi Zhang 002; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. - Junfei Wu; Weizhi Xu 002; Qiang Liu 006; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. - Guofan Liu; Jinghao Zhang; Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. - Huanyu Zhang; Yifan Zhang 004; Zhang Zhang 001; Qingsong Wen; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation. - Yifei Su; Dong An 002; Kehan Chen; Weichen Yu; Baiyang Ning; Yonggen Ling; Yan Huang 008; Liang Wang 001 (AAAI, 2025)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

Personalized Text Generation with Contrastive Activation Steering. - Jinghao Zhang; Yuting Liu 003; Wenjie Wang 007; Qiang Liu 006; Shu Wu; Liang Wang 001; Tat-Seng Chua (ACL (1), 2025)

Bridging Gait Recognition and Large Language Models Sequence Modeling. - Shaopeng Yang; Jilong Wang 010; Saihui Hou; Xu Liu 008; Chunshui Cao; Liang Wang 001; Yongzhen Huang (CVPR, 2025)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? - Yifan Zhang 004; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang 056; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (ICLR, 2025)

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. - Liang Wang 056; Shaozhen Liu; Yu Rong 001; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 001 (ICLR, 2025)

Learning against Non-credible Second-Price Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (WWW, 2025)

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. - Qin Chen; Liang Wang 001; Bo Zheng 007; Guojie Song (WWW, 2025)

A structure-based disentangled network with contrastive regularization for sign language recognition. - Liqing Gao; Lei Zhu 003; Lianyu Hu 003; Peng Shi; Liang Wang 001; Wei Feng 005 (Expert Syst. Appl., 2025)

GraphFM: Graph Factorization Machines for Feature Interaction Modelling. - Shu Wu; Zekun Li 001; Yunyue Su; Zeyu Cui; Xiaoyu Zhang 002; Liang Wang 001 (Int. J. Autom. Comput., 2025)

MPE3: Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition. - Yuwei Xia; Zhao Tong; Liang Wang 001; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (Neurocomputing, 2025)

A large-scale combinatorial benchmark for sign language recognition. - Liqing Gao; Liang Wang 001; Lianyu Hu 003; Ruize Han; Zekang Liu; Peng Shi; Fanhua Shang; Wei Feng 005 (Pattern Recognit., 2025)

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges. - Chuanfu Shen; Shiqi Yu 001; Jilong Wang 010; George Q. Huang; Liang Wang 001 (IEEE Trans. Biom. Behav. Identity Sci., 2025)

Conformal Uncertainty Indicator for Continual Test-Time Adaptation. - Fan Lyu; Hanyu Zhao; Ziqi Shi; Ye Liu; Fuyuan Hu; Zhang Zhang 001; Liang Wang 001 (CoRR, 2025)

VicKAM: Visual Conceptual Knowledge Guided Action Map for Weakly Supervised Group Activity Recognition. - Zhuming Wang; Yihao Zheng; Jiarui Li; Yaofei Wu; Yan Huang; Zun Li 001; Lifang Wu; Liang Wang 001 (CoRR, 2025)

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. - Yifan Zhang 004; Tao Yu; Haochen Tian; Chaoyou Fu; Peiyan Li; Jianshu Zeng; Wulin Xie; Yang Shi 009; Huanyu Zhang; Junkang Wu; Xue Wang 010; Yibo Hu; et al. (CoRR, 2025)

STRIVE: Structured Reasoning for Self-Improvement in Claim Verification. - Haisong Gong; Jing Li 036; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2025)

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy. - Peiyan Li; Hongtao Wu; Yan Huang 008; Chilam Cheang; Liang Wang 001; Tao Kong (IEEE Robotics Autom. Lett., 2025)

Test-Time Discovery via Hashing Memory. - Fan Lyu; Tianle Liu; Zhang Zhang 001; Fuyuan Hu; Liang Wang 001 (CoRR, 2025)

Aligning Multimodal LLM with Human Preference: A Survey. - Tao Yu; Yifan Zhang 004; Chaoyou Fu; Junkang Wu; Jinda Lu; Kun Wang 056; Xingyu Lu; Yunhang Shen; Guibin Zhang; Dingjie Song; Yibo Yan; Tianlong Xu; et al. (CoRR, 2025)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. - Hongmei Yin; Tingliang Feng; Fan Lyu; Fanhua Shang; Hongying Liu 001; Wei Feng 005; Liang Wang 001 (CoRR, 2025)

Duality-Gated Mutual Condition Network for RGBT Tracking. - Andong Lu; Cun Qian; Chenglong Li 002; Jin Tang 001; Liang Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models. - Wulin Xie; Yifan Zhang 004; Chaoyou Fu; Yang Shi 009; Bingyan Nie; Hongkai Chen; Zhang Zhang 001; Liang Wang 001; Tieniu Tan (CoRR, 2025)

A Call for New Recipes to Enhance Spatial Reasoning in MLLMs. - Huanyu Zhang; Chengzu Li; Wenshan Wu; Shaoguang Mao; Yan Xia 005; Ivan Vulic; Zhang Zhang 001; Liang Wang 001; Tieniu Tan; Furu Wei (CoRR, 2025)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning. - Yifan Zhang 004; Xingyu Lu; Xiao Hu; Chaoyou Fu; Bin Wen; Tianke Zhang; Changyi Liu; Kaiyu Jiang; Kaibing Chen; Kaiyu Tang; Haojie Ding; Jiankang Chen; et al. (CoRR, 2025)

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. - Zhixun Li; Bin Cao; Rui Jiao; Liang Wang 056; Ding Wang; Yang Liu 003; Dingshuo Chen; Jia Li 009; Qiang Liu 006; Yu Rong 001; Liang Wang 001; Tong-yi Zhang; et al. (CoRR, 2025)

AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping. - Haonan Dong; Wenhao Zhu; Guojie Song; Liang Wang 001 (CoRR, 2025)

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. - Haitian Zhong; Yuhuan Liu; Ziyang Xu; Guofan Liu; Qiang Liu 006; Shu Wu; Zhe Zhao; Liang Wang 001; Tieniu Tan (CoRR, 2025)

BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models. - Peiyan Li; Yixiang Chen; Hongtao Wu; Xiao Ma; Xiangnan Wu; Yan Huang 008; Liang Wang 001; Tao Kong; Tieniu Tan (CoRR, 2025)

VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks. - Xinlong Chen; Yuanxing Zhang; Yushuo Guan; Bohan Zeng; Yang Shi 009; Sihan Yang; Pengfei Wan; Qiang Liu 006; Liang Wang 001; Tieniu Tan (CoRR, 2025)

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing. - Junfei Wu; Jian Guan 002; Kaituo Feng; Qiang Liu 006; Shu Wu; Liang Wang 001; Wei Wu 014; Tieniu Tan (CoRR, 2025)

CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-identification. - Yan Huang 008; Yan Huang 023; Zhang Zhang 001; Qiang Wu 001; Yi Zhong 002; Liang Wang 001 (Int. J. Comput. Vis., 2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Le Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models. - Liang Wang 001; Yu Rong 001; Tingyang Xu; Zhenyi Zhong; Zhiyuan Liu; Pengju Wang; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 056 (CoRR, 2025)

Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning. - Zeyu Xi; Haoying Sun; Yaofei Wu; Junchi Yan; Haoran Zhang; Lifang Wu; Liang Wang 001; Changwen Chen (CoRR, 2025)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning. - Fan Lyu; Linglan Zhao; Chengyan Liu; Yinying Mei; Zhang Zhang 001; Jian Zhang 002; Fuyuan Hu; Liang Wang 001 (CoRR, 2025)

ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments. - Dong An 002; Hanqing Wang 001; Wenguan Wang; Zun Wang; Yan Huang 008; Keji He; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Unpaired Image-Text Matching via Multimodal Aligned Conceptual Knowledge. - Yan Huang 008; Yuming Wang; Yunan Zeng; Junshi Huang; Zhenhua Chai; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)

Thyme: Think Beyond Images. - Yifan Zhang 004; Xingyu Lu; Shukang Yin; Chaoyou Fu; Wei Chen 070; Xiao Hu; Bin Wen; Kaiyu Jiang; Changyi Liu; Tianke Zhang; Haonan Fan; Kaibing Chen; et al. (CoRR, 2025)

Foundation Model for Skeleton-Based Human Action Understanding. - Hongsong Wang; Wanjiang Weng; Junbo Wang 003; Fang Zhao 006; Guo-Sen Xie; Xin Geng 001; Liang Wang 001 (CoRR, 2025)

AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation. - Ruipu Wu; Yige Zhang; Jinyu Chen; Linjiang Huang; Shifeng Zhang; Xu Zhou; Liang Wang 001; Si Liu 001 (CoRR, 2025)

GaitC3I: Robust Cross-Covariate Gait Recognition via Causal Intervention. - Jilong Wang 010; Saihui Hou; Xianda Guo; Yan Huang 008; Yongzhen Huang; Tianzhu Zhang 001; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

TimeRAF: Retrieval-Augmented Foundation Model for Zero-Shot Time Series Forecasting. - Huanyu Zhang; Chang Xu 008; Yifan Zhang 004; Zhang Zhang 001; Liang Wang 001; Jiang Bian 002 (IEEE Trans. Knowl. Data Eng., 2025)