| 2026 | ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations. | An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li |
| 2026 | MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration. | Guokai Tang, Feng Zhao |
| 2026 | Revisiting MLLM Based Image Quality Assessment: Errors and Remedy. | Zhenchen Tang, Songlin Yang, Bo Peng, Zichuan Wang, Jing Dong |
| 2026 | Optimal Look-back Horizon for Time Series Forecasting in Federated Learning. | Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan |
| 2026 | Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval. | Yuanmin Tang, Jing Yu, Keke Gai, Gang Xiong, Gaopeng Gou, Meikang Qiu, Qi Wu |
| 2026 | SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks. | Peiyuan Tang, Haojie Xin, Xiaodong Zhang, Jun Sun, Qin Xia, Zijiang James Yang |
| 2026 | Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning. | Haomiao Tang, Jinpeng Wang, Minyi Zhao, Guanghao Meng, Ruisheng Luo, Long Chen, Shu-Tao Xia |
| 2026 | Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis. | Kai Tang, Yixuan Tang, Tianyi Chen, Haokai Xu, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang, Gang Chen, Haobo Wang |
| 2026 | Trusted Multi-view Learning for Long-tailed Classification. | Chuanqing Tang, Yifei Shi, Guanghao Lin, Lei Xing, Long Shi |
| 2026 | CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices. | Cheng Tang, Guochong Sui, Wenqi Lou, Zihan Wang, Jiayi Tuo, Wenqian Xie, Yinkang Gao, Yixuan Zhu, Lei Gong, Chao Wang, Xuehai Zhou |
| 2026 | Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels. | Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou |
| 2026 | GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets. | Jingtao Tang, Hang Ma |
| 2026 | Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models. | Hao Tang, Yu Liu, Shuanglin Yan, Fei Shen, Shengfeng He, Jing Qin |
| 2026 | Neural Video Compression with Reference Hierarchy. | Chuanbo Tang, Zhuoyuan Li, Li Li, Dong Liu, Feng Wu |
| 2026 | Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization. | Haoyu Tang, Tianyuan Liang, Han Jiang, Xuesong Liu, Qinghai Zheng, Yupeng Hu |
| 2026 | Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration. | Ni Tang, Xiaotong Luo, Zihan Cheng, Liangtai Zhou, Dongxiao Zhang, Yanyun Qu |
| 2026 | Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning. | Rui Tang, Biao Luo, Yongzheng Cui |
| 2026 | Learning Underwater Image Enhancement Iteratively Without Reference Images. | Yi Tang, Hiroshi Kawasaki, Takafumi Iwaguchi, Yuhang Zhang, Hiroshi Masui |
| 2026 | AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data. | Xianglu Tang, Joyee W. Jin, Emily Ma, Xingyu Li |
| 2026 | EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training. | Yuting Tang, Weibang Jiang, Shanglin Li, Yong Li, Chenyu Liu, Xinliang Zhou, Yi Ding, Cuntai Guan |
| 2026 | Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks. | Keke Tang, Tianyu Hao, Xiaofei Wang, Weilong Peng, Denghui Zhang, Peican Zhu, Zhihong Tian |
| 2026 | TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding. | Canhui Tang, Zifan Han, Hongbo Sun, Sanping Zhou, Xuchong Zhang, Xin Wei, Ye Yuan, Huayu Zhang, Jinglin Xu, Hao Sun |
| 2026 | Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge. | Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang |
| 2026 | GUI-G²: Gaussian Reward Modeling for GUI Grounding. | Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang |
| 2026 | Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving. | Jiacheng Tang, Mingyue Feng, Jiachao Liu, Yaonong Wang, Jian Pu |