| 2026 | AAAI | PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction. | Shunfan Li, Jiangkai Long, Xin Zou, Chang Tang, Yuanyuan Liu, Xiao He, Xuesong Yan |
| 2026 | AAAI | When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering. | Jiangkai Long, Yanran Zhu, Chang Tang, Kun Sun, Yuanyuan Liu, Xuesong Yan |
| 2026 | AAAI | CLUENet: Cluster Attention Makes Neural Networks Have Eyes. | Xiangshuai Song, Jun-Jie Huang, Tianrui Liu, Ke Liang, Chang Tang |
| 2026 | AAAI | SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network. | Yizhuo Zhang, Kun Sun, Chang Tang, Yuanyuan Liu, Xin Li |
| 2025 | AAAI | Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. | Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu |
| 2025 | ICASSP | Trusted Mamba Contrastive Network for Multi-View Clustering. | Jian Zhu, Xin Zou, Lei Liu, Zhangmin Huang, Ying Zhang, Chang Tang, Li-Rong Dai |
| 2025 | ICASSP | Dynamic SRM Curriculum for Trustworthy Multi-modal Classification. | Jian Zhu, Cui Yu, Xin Zou, Zhangmin Huang, Chenshu Hu, Jun Sun, Bo Lyu, Lei Liu, Chang Tang, Li-Rong Dai |
| 2025 | ICML | Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. | Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu |
| 2025 | IJCAI | Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation. | Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu |
| 2025 | IJCAI | LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment. | Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu |
| 2025 | MICCAI | PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement. | Renyu Fu, Shurui Hu, Xiao Zheng, Chang Tang, Xinwang Liu |
| 2025 | PAKDD | Adaptive and Discriminative Contrastive Learning for Sequential Recommendation. | Chi Zhou, Shaolin Wang, Haoyang Che, Lei Yao, Chang Tang, Ying Gu |
| 2024 | AAAI | Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. | Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu |
| 2024 | ICASSP | Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. | Renxiang Guan, Zihao Li, Xianju Li, Chang Tang |
| 2024 | IJCNN | Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. | Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang |
| 2023 | AAAI | Multi-Level Confidence Learning for Trustworthy Multimodal Classification. | Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang |
| 2023 | APWEB | Central Similarity Multi-view Hashing for Multimedia Retrieval. | Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng |
| 2023 | CVPR | GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering. | Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin |
| 2023 | Mobiquitous | FedGCS: Addressing Class Imbalance in Long-Tail Federated Learning. | Guozheng Liu, Wei Zhang, Huiling Shi, Lizhuang Tan, Chang Tang, Meihong Yang |
| 2022 | UIC | Accelerate Supercomputing through Cross-Region Interconnection. | Jing Han, Wei Zhang, Huiling Shi, Yan Zhou, Chang Tang, Jingshan Pan |
| 2021 | ICCV | Localized Simple Multiple Kernel K-means. | Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang |
| 2021 | ICML | One Pass Late Fusion Multi-view Clustering. | Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu |
| 2021 | IJCAI | Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. | Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya |
| 2020 | AAAI | CGD: Multi-View Clustering via Cross-View Graph Diffusion. | Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao |
| 2020 | AAAI | R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. | Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya |
| 2020 | IWCMC | Wearable-sensors Based Activity Recognition for Smart Human Healthcare Using Internet of Things. | Ning Hu, Shen Su, Chang Tang, Lulu Wang |
| 2019 | AAAI | Efficient and Effective Incomplete Multi-View Clustering. | Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao |
| 2019 | AAAI | Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. | Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang |
| 2019 | CVPR | DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. | Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya |
| 2019 | IJCAI | Multi-view Clustering via Late Fusion Alignment Maximization. | Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin |
| 2017 | CVPR | Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. | Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona |
| 2016 | ICPR | Large-scale Isolated Gesture Recognition using Convolutional Neural Networks. | Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona |
| 2016 | ICPR | A Large Scale RGB-D Dataset for Action Recognition. | Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu, Chang Tang |
| 2015 | ICCV | Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. | Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li |