Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. - Lei Wang 001; Jianjia Zhang; Luping Zhou; Chang Tang; Wanqing Li 001 (ICCV, 2015)

ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Chang Tang; Jing Zhang 017; Philip Ogunbona (ACM Multimedia, 2015)

Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors. - Chang Tang; Wanqing Li 001; Chunping Hou; Pichao Wang; Yonghong Hou; Jing Zhang 017; Philip O. Ogunbona (CoRR, 2015)

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Jing Zhang 017; Chang Tang; Philip Ogunbona (CoRR, 2015)

Large-scale Isolated Gesture Recognition using Convolutional Neural Networks. - Pichao Wang; Wanqing Li 001; Song Liu; Zhimin Gao; Chang Tang; Philip Ogunbona (ICPR, 2016)

A Large Scale RGB-D Dataset for Action Recognition. - Jing Zhang 017; Wanqing Li 001; Pichao Wang; Philip Ogunbona; Song Liu; Chang Tang (UHA3DS@ICPR, 2016)

Salient object detection using color spatial distribution and minimum spanning tree weight. - Chang Tang; Chunping Hou; Pichao Wang; Zhanjie Song (Multim. Tools Appl., 2016)

RGB-D-based action recognition datasets: A survey. - Jing Zhang 017; Wanqing Li 001; Philip O. Ogunbona; Pichao Wang; Chang Tang (Pattern Recognit., 2016)

A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection. - Chang Tang; Jin Wu; Yonghong Hou; Pichao Wang; Wanqing Li 001 (IEEE Signal Process. Lett., 2016)

Action Recognition From Depth Maps Using Deep Convolutional Neural Networks. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Jing Zhang 017; Chang Tang; Philip O. Ogunbona (IEEE Trans. Hum. Mach. Syst., 2016)

Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Yuyao Zhang; Chang Tang; Philip Ogunbona (CVPR, 2017)

An effective edge-preserving smoothing method for image manipulation. - Chang Tang; Chunping Hou; Yonghong Hou; Pichao Wang; Wanqing Li 001 (Digit. Signal Process., 2017)

Salient Object Detection via Weighted Low Rank Matrix Recovery. - Chang Tang; Pichao Wang; Changqing Zhang; Wanqing Li 001 (IEEE Signal Process. Lett., 2017)

Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Chang Tang; Philip Ogunbona (CoRR, 2018)

Robust graph regularized unsupervised feature selection. - Chang Tang; Xinzhong Zhu; Jiajia Chen; Pichao Wang; Xinwang Liu 002; Jie Tian 001 (Expert Syst. Appl., 2018)

Saliency detection via affinity graph learning and weighted manifold ranking. - Xinzhong Zhu; Chang Tang; Pichao Wang; Huiying Xu; Minhui Wang; Jiajia Chen; Jie Tian 001 (Neurocomputing, 2018)

Online human action recognition based on incremental learning of weighted covariance descriptors. - Chang Tang; Wanqing Li 001; Pichao Wang; Lizhe Wang 001 (Inf. Sci., 2018)

Consensus learning guided multi-view unsupervised feature selection. - Chang Tang; Jiajia Chen; Xinwang Liu 002; Miaomiao Li 001; Pichao Wang; Minhui Wang; Peng Lu (Knowl. Based Syst., 2018)

Robust unsupervised feature selection via dual self-representation and manifold regularization. - Chang Tang; Xinwang Liu 002; Miaomiao Li 001; Pichao Wang; Jiajia Chen; Lizhe Wang 001; Wanqing Li 001 (Knowl. Based Syst., 2018)

Gene selection for microarray data classification via subspace learning and manifold regularization. - Chang Tang; Lijuan Cao; Xiao Zheng; Minhui Wang (Medical Biol. Eng. Comput., 2018)

Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier. - Shuang Wang; Yonghong Hou; Zhaoyang Li; Jiarong Dong; Chang Tang (Multim. Tools Appl., 2018)

Evaluation of Batvox 3.1 under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01). - Cuiling Zhang; Chang Tang (Speech Commun., 2018)

Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks. - Pichao Wang; Wanqing Li 001; Zhimin Gao; Chang Tang; Philip O. Ogunbona (IEEE Trans. Multim., 2018)

Efficient and Effective Incomplete Multi-View Clustering. - Xinwang Liu 002; Xinzhong Zhu; Miaomiao Li 001; Chang Tang; En Zhu; Jianping Yin; Wen Gao 001 (AAAI, 2019)

Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. - Chang Tang; Xinzhong Zhu; Xinwang Liu 002; Lizhe Wang 001 (AAAI, 2019)

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. - Chang Tang; Xinzhong Zhu; Xinwang Liu 002; Lizhe Wang 001; Albert Y. Zomaya (CVPR, 2019)

Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features. - Chang Tang; Xinzhong Zhu; Xinwang Liu 002; Pichao Wang (ICME, 2019)

Multi-view Clustering via Late Fusion Alignment Maximization. - Siwei Wang 001; Xinwang Liu 002; En Zhu; Chang Tang; Jiyuan Liu 003; Jingtao Hu; Jingyuan Xia; Jianping Yin (IJCAI, 2019)

Robust Multi-View Clustering With a Unified Weight Learning Paradigm. - Miaomiao Li 001; Zhenglai Li; Chang Tang; Xinwang Liu 002; Lulu Wang 003 (IEEE Access, 2019)

Diversity and consistency learning guided spectral embedding for multi-view clustering. - Zhenglai Li; Chang Tang; Jiajia Chen; Cheng Wan; Weiqing Yan; Xinwang Liu 002 (Neurocomputing, 2019)

Dual graph regularized compact feature representation for unsupervised feature selection. - Shaoyong Li; Chang Tang; Xinwang Liu 002; Yaping Liu; Jiajia Chen (Neurocomputing, 2019)

Unsupervised feature selection via latent representation learning and manifold regularization. - Chang Tang; Meiru Bian; Xinwang Liu 002; Miaomiao Li 001; Hua Zhou; Pichao Wang; Hailin Yin (Neural Networks, 2019)

Late Fusion Incomplete Multi-View Clustering. - Xinwang Liu 002; Xinzhong Zhu; Miaomiao Li 001; Lei Wang 001; Chang Tang; Jianping Yin; Dinggang Shen; Huaimin Wang; Wen Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. - Chang Tang; Xinwang Liu 002; Pichao Wang; Changqing Zhang; Miaomiao Li 001; Lizhe Wang 001 (IEEE Trans. Multim., 2019)

Learning a Joint Affinity Graph for Multiview Subspace Clustering. - Chang Tang; Xinzhong Zhu; Xinwang Liu 002; Miaomiao Li 001; Pichao Wang; Changqing Zhang; Lizhe Wang 001 (IEEE Trans. Multim., 2019)

CGD: Multi-View Clustering via Cross-View Graph Diffusion. - Chang Tang; Xinwang Liu 002; Xinzhong Zhu; En Zhu; Zhigang Luo; Lizhe Wang 001; Wen Gao 001 (AAAI, 2020)

R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. - Chang Tang; Xinwang Liu 002; Xinzhong Zhu; En Zhu; Kun Sun 002; Pichao Wang; Lizhe Wang 001; Albert Y. Zomaya (AAAI, 2020)

Wearable-sensors Based Activity Recognition for Smart Human Healthcare Using Internet of Things. - Ning Hu; Shen Su; Chang Tang; Lulu Wang 003 (IWCMC, 2020)

Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment. - Xiao Zheng; Jiajia Chen; Chang Tang; Suqin Zhou (IEEE Access, 2020)

Joint dictionary and graph learning for unsupervised feature selection. - Deqiong Ding; Fei Xia; Xiaogao Yang; Chang Tang (Appl. Intell., 2020)

Unsupervised Domain Expansion from Multiple Sources. - Jing Zhang 017; Wanqing Li 001; Lu Sheng; Chang Tang; Philip Ogunbona (CoRR, 2020)

Unsupervised feature selection via adaptive hypergraph regularized latent representation learning. - Deqiong Ding; Xiaogao Yang; Fei Xia; Tiefeng Ma; Haiyun Liu; Chang Tang (Neurocomputing, 2020)

No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features. - Yun Liu 009; Chang Tang; Zhi Zheng 006; Liyuan Lin (Neurocomputing, 2020)

Shape-optimizing mesh warping method for stereoscopic panorama stitching. - Weiqing Yan; Guanghui Yue 001; Jindong Xu; Yanwei Yu; Kai Wang 014; Chang Tang; Xiangrong Tong (Inf. Sci., 2020)

Perceptual objective quality assessment of stereoscopic stitched images. - Weiqing Yan; Guanghui Yue 001; Yuming Fang; Hua Chen 004; Chang Tang; Gangyi Jiang (Signal Process., 2020)

Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. - Chang Tang; Xinwang Liu 002; Xinzhong Zhu; Jian Xiong 002; Miaomiao Li 001; Jingyuan Xia; Xiangke Wang; Lizhe Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Localized Simple Multiple Kernel K-means. - Xinwang Liu 002; Sihang Zhou 001; Li Liu 002; Chang Tang; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104 (ICCV, 2021)

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. - Zhenglai Li; Chang Tang; Xinwang Liu 002; Xiao Zheng; Wei Zhang 049; En Zhu (ICME, 2021)

One Pass Late Fusion Multi-view Clustering. - Xinwang Liu 002; Li Liu 002; Qing Liao 001; Siwei Wang 001; Yi Zhang 104; Wenxuan Tu; Chang Tang; Jiyuan Liu 003; En Zhu (ICML, 2021)

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. - Chang Tang; Xinwang Liu 002; En Zhu; Lizhe Wang 001; Albert Y. Zomaya (IJCAI, 2021)

Global Context and Enhanced Feature Guided Residual Refinement Network for 3D Cardiovascular Image Segmentation. - Jingjing Liu; Ao Wei; Zhigang Guo; Chang Tang (IEEE Access, 2021)

A network traffic forecasting method based on SA optimized ARIMA-BP neural network. - Hanyu Yang; Xutao Li; Wenhao Qiang; Yuhan Zhao; Wei Zhang 049; Chang Tang (Comput. Networks, 2021)

Efficient and Effective Regularized Incomplete Multi-View Clustering. - Xinwang Liu 002; Miaomiao Li 001; Chang Tang; Jingyuan Xia; Jian Xiong 002; Li Liu 002; Marius Kloft; En Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Global context guided hierarchically residual feature refinement network for defocus blur detection. - Yongping Zhai; Junhua Wang; Jinsheng Deng; Guanghui Yue 001; Wei Zhang 049; Chang Tang (Signal Process., 2021)

Simultaneous Clustering and Optimization for Evolving Datasets. - Yawei Zhao; En Zhu; Xinwang Liu 002; Chang Tang; Deke Guo; Jianping Yin (IEEE Trans. Knowl. Data Eng., 2021)

BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. - Chang Tang; Xinwang Liu 002; Shan An; Pichao Wang (IEEE Trans. Multim., 2021)

Efficient Multiple Kernel Clustering via Spectral Perturbation. - Chang Tang; Zhenglai Li; Weiqing Yan; Guanghui Yue 001; Wei Zhang 049 (ACM Multimedia, 2022)

Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. - Weiqing Yan; Jindong Xu; Jinglei Liu; Guanghui Yue 001; Chang Tang (ACM Multimedia, 2022)

Accelerate Supercomputing through Cross-Region Interconnection. - Jing Han; Wei Zhang 049; Huiling Shi; Yan Zhou; Chang Tang; Jingshan Pan (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. - Zheng Li; Chang Tang; Xiao Zheng; Zhenglai Li; Wei Zhang 049; Lijuan Cao (Neurocomputing, 2022)

Hyperspectral band selection via region-aware latent features fusion based clustering. - Jun Wang 118; Chang Tang; Zhenglai Li; Xinwang Liu 002; Wei Zhang 049; En Zhu; Lizhe Wang 001 (Inf. Fusion, 2022)

Enhanced FCN for farmland extraction from remote sensing image. - Jingshan Pan; Zhiqiang Wei; Yuhan Zhao; Yan Zhou; Xunyu Lin; Wei Zhang 049; Chang Tang (Multim. Tools Appl., 2022)

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. - Jun Wang 118; Chang Tang; Xiao Zheng; Xinwang Liu 002; Wei Zhang 049; En Zhu (Neural Networks, 2022)

Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks. - Huanlin Liu; Jie Ren; Yong Chen 007; Junling Hu; Chang Tang; Mingming Tang (Opt. Switch. Netw., 2022)

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. - Chang Tang; Xinwang Liu 002; Xiao Zheng; Wanqing Li 001; Jian Xiong 002; Lizhe Wang 001; Albert Y. Zomaya; Antonella Longo (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement. - Zhenglai Li; Chang Tang; Lizhe Wang 001; Albert Y. Zomaya (IEEE Trans. Geosci. Remote. Sens., 2022)

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. - Zhenglai Li; Chang Tang; Xiao Zheng; Xinwang Liu 002; Wei Zhang 049; En Zhu (IEEE Trans. Image Process., 2022)

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. - Chang Tang; Xiao Zheng; Xinwang Liu 002; Wei Zhang 049; Jing Zhang 017; Jian Xiong 002; Lizhe Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Consensus Graph Learning for Multi-View Clustering. - Zhenglai Li; Chang Tang; Xinwang Liu 002; Xiao Zheng; Wei Zhang 049; En Zhu (IEEE Trans. Multim., 2022)

Multi-Level Confidence Learning for Trustworthy Multimodal Classification. - Xiao Zheng; Chang Tang; Zhiguo Wan; Chengyu Hu; Wei Zhang 049 (AAAI, 2023)

Central Similarity Multi-view Hashing for Multimedia Retrieval. - Jian Zhu; Wen Cheng; Yu Cui; Chang Tang; Yuyang Dai; Yong Li; Lingfang Zeng (APWeb-WAIM (2), 2023)

GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering. - Weiqing Yan; Yuanyang Zhang; Chenlei Lv; Chang Tang; Guanghui Yue 001; Liang Liao; Weisi Lin (CVPR, 2023)

Hierarchical Attention Learning for Multimodal Classification. - Xin Zou 001; Chang Tang; Wei Zhang 049; Kun Sun 002; Liangxiao Jiang (ICME, 2023)

Multispectral Object Detection via Cross-Modal Conflict-Aware Learning. - Xiao He 010; Chang Tang; Xin Zou 001; Wei Zhang 049 (ACM Multimedia, 2023)

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. - Xin Zou 001; Chang Tang; Xiao Zheng; Zhenglai Li; Xiao He 010; Shan An; Xinwang Liu 002 (ACM Multimedia, 2023)

FedGCS: Addressing Class Imbalance in Long-Tail Federated Learning. - Guozheng Liu; Wei Zhang 049; Huiling Shi; Lizhuang Tan; Chang Tang; Meihong Yang (MobiQuitous (1), 2023)

Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. - Zhenglai Li; Chang Tang; Xianju Li; Weiying Xie; Kun Sun 002; Xinzhong Zhu (CoRR, 2023)

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang; Ruyi Feng (CoRR, 2023)

Multi-view clustering via matrix factorization assisted k-means. - Xiao Zheng; Chang Tang; Xinwang Liu 002; En Zhu (Neurocomputing, 2023)

Inclusivity induced adaptive graph learning for multi-view clustering. - Xin Zou 001; Chang Tang; Xiao Zheng; Kun Sun 002; Wei Zhang 049; Deqiong Ding (Knowl. Based Syst., 2023)

Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network. - Deqiong Ding; Dan Zhuang; Xiaogao Yang; Xiao Zheng; Chang Tang (Signal Process., 2023)

Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. - Jun Wang 118; Chang Tang; Xinwang Liu 002; Wei Zhang 049; Wanqing Li 001; Xinzhong Zhu; Lizhe Wang 001; Albert Y. Zomaya (IEEE Trans. Cybern., 2023)

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. - Xiao He 010; Chang Tang; Xinwang Liu 002; Wei Zhang 049; Kun Sun 002; Jiangfeng Xu (IEEE Trans. Geosci. Remote. Sens., 2023)

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. - Zhenglai Li; Chang Tang; Xinwang Liu 002; Wei Zhang 049; Jie Dou; Lizhe Wang 001; Albert Y. Zomaya (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. - Chang Tang; Jun Wang 118; Xiao Zheng; Xinwang Liu 002; Weiying Xie; Xianju Li; Xinzhong Zhu (IEEE Trans. Geosci. Remote. Sens., 2023)

Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification. - Chuan Tang; Xiao Zheng; Chang Tang (Sensors, 2023)

Graph-filtering and high-order bipartite graph based multiview graph clustering. - Xinying Zhao; Weiqing Yan; Jinlai Ren; Jindong Xu; Zhaowei Liu 002; Guanghui Yue 001; Chang Tang (Digit. Signal Process., 2023)

One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization. - Wenqi Yang; Yansu Wang; Chang Tang; Hengjian Tong; Ao Wei; Xia Wu (Neurocomputing, 2023)

A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks. - Huanlin Liu; Chang Tang; Yong Chen 007; Mingming Tang; Yan Qiu; Haonan Chen; Junling Hu (Comput. Commun., 2023)

Unsupervised feature selection via multiple graph fusion and feature weight learning. - Chang Tang; Xiao Zheng; Wei Zhang 049; Xinwang Liu 002; Xinzhong Zhu; En Zhu (Sci. China Inf. Sci., 2023)

Unified One-Step Multi-View Spectral Clustering. - Chang Tang; Zhenglai Li; Jun Wang 118; Xinwang Liu 002; Wei Zhang 049; En Zhu (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view subspace clustering via adaptive graph learning and late fusion alignment. - Chuan Tang; Kun Sun 002; Chang Tang; Xiao Zheng; Xinwang Liu 002; Jun-Jie Huang 001; Wei Zhang 049 (Neural Networks, 2023)

Learning an insertion region for advertisement embedding on planes. - Shan An; Fangru Zhou; Mei Yang; Shuang Bai; Chang Tang; Haogang Zhu (Signal Process. Image Commun., 2023)

A unified feature-spatial cycle consistency fusion framework for robust image matching. - Kun Sun 002; Jinhong Yu; Wenbing Tao; Xin Li 005; Chang Tang; Yuhua Qian (Inf. Fusion, 2023)

A no-reference panoramic image quality assessment with hierarchical perception and color features. - Yun Liu 009; Xiaohua Yin; Chang Tang; Guanghui Yue 001; Yan Wang (J. Vis. Commun. Image Represent., 2023)

Mutual structure learning for multiple kernel clustering. - Zhenglai Li; Chang Tang; Xiao Zheng; Zhiguo Wan; Kun Sun 002; Wei Zhang 049; Xinzhong Zhu (Inf. Sci., 2023)

Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network. - Yan Zhou; Huiling Shi; Yanling Zhao; Wei Ding; Jing Han; Hongyang Sun 002; Xianheng Zhang; Chang Tang; Wei Zhang 049 (J. Cloud Comput., 2023)

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. - Suyuan Liu; Junpu Zhang; Yi Wen 001; Xihong Yang; Siwei Wang 001; Yi Zhang 104; En Zhu; Chang Tang; Long Zhao 002; Xinwang Liu 002 (AAAI, 2024)

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. - Renxiang Guan; Zihao Li; Xianju Li; Chang Tang (ICASSP, 2024)

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. - Jingxin Wang; Renxiang Guan; Kainan Gao; Zihao Li; Hao Li; Xianju Li; Chang Tang (IJCNN, 2024)

H2L: High-Performance Multi-agent Path Finding in High-Obstacle-Density and Large-Size Maps. - Chang Tang; Shitao Chen; Zhiqiang Tian; Xuguang Lan (ISAIR (1), 2024)

Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. - Xiao He 010; Chang Tang; Xinwang Liu 002; Chuankun Li; Shan An; Zhenglai Li (ACM Multimedia, 2024)

Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. - Dayu Hu; Suyuan Liu; Jun Wang 118; Junpu Zhang; Siwei Wang 001; Xingchen Hu; Xinzhong Zhu; Chang Tang; Xinwang Liu 002 (ACM Multimedia, 2024)

Learning to Discover Generalized Facial Expressions. - Tingzhang Luo; Yichao Liu; Yuanyuan Liu; Andi Zhang 001; Xin Wang; Chang Tang; Zhe Chen (CoRR, 2024)

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. - Xin Zou 001; Yizhou Wang; Yibo Yan; Sirui Huang; Kening Zheng; Junkai Chen; Chang Tang; Xuming Hu (CoRR, 2024)

Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. - Wei Feng; Minhui Wang; Chang Tang; Weiying Xie; Xianju Li; Xiao Zheng; Jiangfeng Xu (Eng. Appl. Artif. Intell., 2024)

Token-disentangling Mutual Transformer for multimodal emotion recognition. - Guanghao Yin; Yuanyuan Liu 004; Tengfei Liu; Haoyu Zhang 001; Fang Fang 008; Chang Tang; Liangxiao Jiang (Eng. Appl. Artif. Intell., 2024)

Drug side effects prediction via cross attention learning and feature aggregation. - Zixiao Jin; Minhui Wang; Xiao Zheng; Jiajia Chen; Chang Tang (Expert Syst. Appl., 2024)

Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. - Wenqi Yang; Minhui Wang; Chang Tang; Xiao Zheng; Xinwang Liu 002; Kunlun He (Inf. Fusion, 2024)

Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering. - Xiaogao Yang; Deqiong Ding; Fei Xia; Dan Zhuang; Chang Tang (Neural Networks, 2024)

Boundary uncertainty aware network for automated polyp segmentation. - Guanghui Yue 001; Guibin Zhuo; Weiqing Yan; Tianwei Zhou; Chang Tang; Peng Yang 011; Tianfu Wang 001 (Neural Networks, 2024)

PiSFANet: Pillar Scale-Aware Feature Aggregation Network for Real-Time 3D Pedestrian Detection. - Weiqing Yan; Shile Liu; Chang Tang; Wujie Zhou (IEEE Signal Process. Lett., 2024)

Boosted Curriculum Multi-View Hashing for Multimedia Retrieval. - Jian Zhu; Zhangmin Huang; Lei Liu 029; Chang Tang; Li-Rong Dai 001 (IEEE Signal Process. Lett., 2024)

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. - Renxiang Guan; Zihao Li; Wenxuan Tu; Jun Wang 118; Yue Liu 008; Xianju Li; Chang Tang; Ruyi Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images. - Renxiang Guan; Wenxuan Tu; Zihao Li; Hao Yu; Dayu Hu; Yuzeng Chen; Chang Tang; Qiangqiang Yuan; Xinwang Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. - Zhenglai Li; Chang Tang; Xinwang Liu 002; Changdong Li; Xianju Li; Wei Zhang 049 (IEEE Trans. Geosci. Remote. Sens., 2024)

End-to-End Hyperspectral Image Change Detection Based on Band Selection. - Qingren Yao; Yuan Zhou 006; Chang Tang; Wei Xiang 001; Gang Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Portable EIT System for Gesture Recognition With Feature Selection and ANN Implantation. - Dan Yang 003; Shijun Li 005; Nan Sun; Chang Tang; Yuyu Zhao; Bin Xu 010 (IEEE Trans. Instrum. Meas., 2024)

Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion. - Zixiao Jin; Minhui Wang; Chang Tang; Xiao Zheng; Wen Zhang; Xiaofeng Sha; Shan An (Comput. Biol. Medicine, 2024)

High-Order Structural Relation Distillation Networks From LiDAR to Monocular Image 3D Detectors. - Weiqing Yan; Long Xu; Hao Liu 044; Chang Tang; Wujie Zhou (IEEE Trans. Intell. Veh., 2024)

Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. - Shuhan Huang; Minhui Wang; Xiao Zheng; Jiajia Chen; Chang Tang (IEEE J. Biomed. Health Informatics, 2024)

Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering. - Weiqing Yan; Xinying Zhao; Guanghui Yue 001; Jinlai Ren; Jindong Xu; Zhaowei Liu 002; Chang Tang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images. - Jian Li; Chuankun Li; Xiao Zheng; Xinwang Liu 002; Chang Tang (Remote. Sens., 2024)

Efficient and Effective One-Step Multiview Clustering. - Jun Wang 118; Chang Tang; Zhiguo Wan; Wei Zhang 049; Kun Sun 002; Albert Y. Zomaya (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. - Weixuan Liang; Chang Tang; Xinwang Liu 002; Yong Liu 018; Jiyuan Liu 003; En Zhu; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation. - Xin Zou 001; Xiao He 010; Xiao Zheng; Wei Zhang 049; Jiajia Chen; Chang Tang (IEEE J. Biomed. Health Informatics, 2024)

Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. - Jun Wang 118; Zhenglai Li; Chang Tang; Suyuan Liu; Xinhang Wan; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Fast Approximated Multiple Kernel K-Means. - Jun Wang 118; Chang Tang; Xiao Zheng; Xinwang Liu 002; Wei Zhang 049; En Zhu; Xinzhong Zhu (IEEE Trans. Knowl. Data Eng., 2024)

Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. - Wenqi Yang; Chang Tang; Xiao Zheng; Xinzhong Zhu; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. - Yanran Zhu; Xiao He 010; Chang Tang; Xinwang Liu 002; Yuanyuan Liu 004; Kunlun He (IEEE Trans. Knowl. Data Eng., 2024)

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. - Renxiang Guan; Wenxuan Tu; Siwei Wang 001; Jiyuan Liu 003; Dayu Hu; Chang Tang; Yu Feng; Junhong Li; Baili Xiao; Xinwang Liu 002 (AAAI, 2025)

Trusted Mamba Contrastive Network for Multi-View Clustering. - Jian Zhu; Xin Zou 001; Lei Liu 029; Zhangmin Huang; Ying Zhang; Chang Tang; Li-Rong Dai 001 (ICASSP, 2025)

Dynamic SRM Curriculum for Trustworthy Multi-modal Classification. - Jian Zhu; Cui Yu; Xin Zou 001; Zhangmin Huang; Chenshu Hu; Jun Sun; Bo Lyu; Lei Liu 029; Chang Tang; Li-Rong Dai 001 (ICASSP, 2025)

Adaptive and Discriminative Contrastive Learning for Sequential Recommendation. - Chi Zhou; Shaolin Wang; Haoyang Che; Lei Yao; Chang Tang; Ying Gu (PAKDD (1), 2025)

Contrastive Trustworthy Prototype Learning for multi-modality myocardial pathology segmentation. - Jingjing Liu; Ao Wei; Lijuan Cao; Xiao He 010; Chang Tang (Appl. Soft Comput., 2025)

Cancer-drug response prediction via feature aggregation and association graph learning. - Kaiyi Xu; Minhui Wang; Xin Zou 001; Chengfu Ji; Hua Zhou; Chang Tang (Eng. Appl. Artif. Intell., 2025)

Degradation-adaptive attack-robust self-supervised facial representation learning. - Ke Wang; Yuanyuan Liu; Chang Tang; Kun Sun; Yibing Zhan; Zhe Chen (Neurocomputing, 2025)

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement. - Yanran Zhu; Xiao Zheng; Xiao He 010; Xin Zou 001; Peihong Wang; Chang Tang; Xinwang Liu 002; Kunlun He (Inf. Fusion, 2025)

Self-supervised star graph optimization embedding non-negative matrix factorization. - Songtao Li; Qiancheng Wang; Mengjie Luo; Yang Li 191; Chang Tang (Inf. Process. Manag., 2025)

Dynamic Prediction of Drug-Target Interactions via Cross-Modal Feature Mapping with Learnable Association Information. - Ziyu Wei; Zhengyu Wang; Chang Tang (J. Chem. Inf. Model., 2025)

Integrating edge features and complementary attention mechanism for drug response prediction. - Chuang Li; Minhui Wang; Chang Tang; Yanfeng Zhu 007 (Knowl. Based Syst., 2025)

DACMF-DTI: Dual attention embedded cross-modality fusion for drug-target interaction prediction. - Ziyu Wei; Xiao Zheng; Chuankun Li; Minhui Wang; Chang Tang (Knowl. Based Syst., 2025)

Dual alignment feature embedding network for multi-omics data clustering. - Yuang Xiao; Dong Yang; Jiaxin Li; Xin Zou 001; Hua Zhou; Chang Tang (Knowl. Based Syst., 2025)

Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering. - Bing Hu; Lixin Han; Yi Xu; Chang Tang; Jun Zhu; Gui-Fu Lu (Neural Networks, 2025)

HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects. - Kaiyi Xu; Minhui Wang; Xin Zou 001; Jingjing Liu; Ao Wei; Jiajia Chen; Chang Tang (Neural Networks, 2025)

Beyond boundaries: Hierarchical-contrast unsupervised temporal action localization with high-coupling feature learning. - Yuanyuan Liu 004; Ning Zhou; Yuxuan Huang; Shuyang Liu; Leyuan Liu 001; Wujie Zhou; Chang Tang; Ke Wang (Pattern Recognit., 2025)

Multi-branch Space Sharing Feature Aggregation for contrastive multi-view clustering. - Yuanyang Zhang; Weiqing Yan; Chang Tang; Wujie Zhou; Jian Jin (Pattern Recognit., 2025)

PMTSeg: Prompt-Driven Multimodal Transformer for Task-Adapted Remote Sensing Image Segmentation. - Kejun Liu; Xuesong Yan 001; Yuanyuan Liu 004; Chang Tang; Yibing Zhan; Wei Luo; Wujie Zhou; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-View Clustering via Multi-Stage Fusion. - Yu Gan 004; Yunning You; Junjie Huang 001; Sen Xiang; Chang Tang; Wei Hu 001; Shan An (IEEE Trans. Multim., 2025)

Emotion-Oriented Cross-Modal Prompting and Alignment for Human-Centric Emotional Video Captioning. - Yu Wang 246; Yuanyuan Liu 004; Shunping Zhou; Yuxuan Huang; Chang Tang; Wujie Zhou; Zhe Chen 013 (IEEE Trans. Multim., 2025)

Self-Supervised Semantic Soft Label Learning Network for Deep Multi-View Clustering. - Weiqing Yan; Tingyu Yang; Chang Tang (IEEE Trans. Multim., 2025)

Adaptive Confidence Multi-View Learning. - Jian Zhu; Lei Liu 029; Yu Zhang; Chang Tang; Li-Rong Dai 001 (IEEE Trans. Multim., 2025)

Balanced Multi-view Clustering. - Zhenglai Li; Jun Wang 118; Chang Tang; Xinzhong Zhu; Wei Zhang 049; Xinwang Liu 002 (CoRR, 2025)

Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph. - Shengju Yu; Suyuan Liu; Siwei Wang 001; Chang Tang; Zhigang Luo; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering. - Zhenglai Li; Yuqi Shi; Xiao He 010; Chang Tang (CoRR, 2025)

Anchor-Sharing and Cluster-Wise Contrastive Network for Multiview Representation Learning. - Weiqing Yan; Yuanyang Zhang; Chang Tang; Wujie Zhou; Weisi Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Retouched Face Image Quality Assessment Based on Differential Perception and Textual Prompt. - Tianwei Zhou; Songbai Tan; Gang Li; Shishun Tian; Chang Tang; Zhihua Wang 002; Guanghui Yue 001 (IEEE Trans. Broadcast., 2025)

Deep Incomplete Multi-View Clustering via Dynamic Imputation and Triple Alignment With Dual Optimization. - Weiqing Yan; Kanglong Liu; Wujie Zhou; Chang Tang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Robust Nonnegative Matrix Factorization With Self-Initiated Multigraph Contrastive Fusion. - Songtao Li; Shiqian Wu; Chang Tang; Junchi Zhang; Zushuai Wei (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multiview Representation Learning via Information-Theoretic Optimization. - Weiqing Yan; Shuochen Yao; Chang Tang; Wujie Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

Smooth Multiple Kernel k-Means via Underlying Graph Filtering. - Wenqi Yang; Chang Tang; Xinwang Liu 002; Guanghui Yue 001; Yuanyuan Liu 004; Changqing Zhang; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sample Adaptive Localized Simple Multiple Kernel K-Means and its Application in Parcellation of Human Cerebral Cortex. - Xinwang Liu 002; Yi Zhang 104; Li Liu 002; Chang Tang; Limin Peng; Long Lan; Dewen Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining. - Renxiang Guan; Tianrui Liu 001; Wenxuan Tu; Chang Tang; Wenhan Luo; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2025)