| 2025 | COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. | Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan |
| 2025 | DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization. | Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu |
| 2025 | Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. | Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui |
| 2025 | Catastrophic Failure of LLM Unlearning via Quantization. | Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang |
| 2025 | Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs. | Jie Zhang, Zhongqi Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xilin Chen |
| 2025 | MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine. | Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li |
| 2025 | Learning Harmonized Representations for Speculative Sampling. | Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu |
| 2025 | Fast and Accurate Blind Flexible Docking. | Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han |
| 2025 | Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. | Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang |
| 2025 | UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation. | Tao Zhang, Jinyong Wen, Zhen Chen, Kun Ding, Shiming Xiang, Chunhong Pan |
| 2025 | Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models. | Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou |
| 2025 | Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. | Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao |
| 2025 | Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions. | Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler |
| 2025 | Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning. | Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding |
| 2025 | Graph Sparsification via Mixture of Graphs. | Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan |
| 2025 | Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. | Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang |
| 2025 | TimeInf: Time Series Data Contribution via Influence Functions. | Yizi Zhang, Jingyan Shen, Xiaoxue Xiong, Yongchan Kwon |
| 2025 | When narrower is better: the narrow width limit of Bayesian parallel branching neural networks. | Zechen Zhang, Haim Sompolinsky |
| 2025 | Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control. | Songyuan Zhang, Oswin So, Mitchell Black, Chuchu Fan |
| 2025 | FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models. | Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian |
| 2025 | Persistent Pre-training Poisoning of LLMs. | Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramr, Daphne Ippolito |
| 2025 | Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport. | Lvmin Zhang, Anyi Rao, Maneesh Agrawala |
| 2025 | Logic-Logit: A Logic-Based Approach to Choice Modeling. | Shuhan Zhang, Wendi Ren, Shuang Li |
| 2025 | IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning. | Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan |
| 2025 | Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning. | Menglong Zhang, Fuyuan Qian, Quanying Liu |