| 2025 | SkipGPT: Each Token is One of a Kind. | Anhao Zhao, Fanghua Ye, Yingqi Fan, Junlong Tong, Jing Xiong, Zhiwei Fei, Hui Su, Xiaoyu Shen |
| 2025 | Rethink the Role of Deep Learning towards Large-scale Quantum Systems. | Yusheng Zhao, Chi Zhang, Yuxuan Du |
| 2025 | ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks. | Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin R. Hancock |
| 2025 | GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models. | Pengxiang Zhao, Xiaoming Yuan |
| 2025 | Gap-Dependent Bounds for Federated Q-Learning. | Haochen Zhang, Zhong Zheng, Lingzhou Xue |
| 2025 | Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment. | Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu |
| 2025 | Strategic A/B testing via Maximum Probability-driven Two-armed Bandit. | Yu Zhang, Shanshan Zhao, Bokui Wan, Jinjuan Wang, Xiaodong Yan |
| 2025 | Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms. | Detian Zhang, Chengqiang Zhang, Yanghui Rao, Li Qing, Chunjiang Zhu |
| 2025 | Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes. | Erica Zhang, Fangzhao Zhang, Mert Pilanci |
| 2025 | Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters. | Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Shaojie Tang, Xiangyang Li |
| 2025 | STAIR: Improving Safety Alignment with Introspective Reasoning. | Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu |
| 2025 | Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. | Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li |
| 2025 | Inverse Flow and Consistency Models. | Yuchen Zhang, Jian Zhou |
| 2025 | Tight and Fast Bounds for Multi-Label Learning. | Yifan Zhang, Min-Ling Zhang |
| 2025 | The Four Color Theorem for Cell Instance Segmentation. | Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen |
| 2025 | Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. | Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly |
| 2025 | Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding. | Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Rex Ying, Jie Shao |
| 2025 | ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning. | Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang |
| 2025 | Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition. | Chong Zhang, Peng Zhang, Mengke Li |
| 2025 | InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. | Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi |
| 2025 | KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling. | Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu |
| 2025 | SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models. | Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li |
| 2025 | Efficient Network Automatic Relevance Determination. | Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi |
| 2025 | G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. | Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng |
| 2025 | Learning to Reuse Policies in State Evolvable Environments. | Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu |