| 2025 | Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. | Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen |
| 2025 | Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee. | Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu |
| 2025 | Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning. | Ye Zhu, Xiaowen Gong, Shiwen Mao |
| 2025 | Robust Graph Contrastive Learning for Incomplete Multi-view Clustering. | Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren |
| 2025 | Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations. | Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu |
| 2025 | Adversarial Propensity Weighting for Debiasing in Collaborative Filtering. | Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang |
| 2025 | Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing. | Zhanwen Zhou, Hankz Hankui Zhuo, Jinghua Zhou, Wushao Wen |
| 2025 | Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform. | Jianhou Zhou, Xiaolong Zhou, Sixian Chan, Zhaomin Chen, Xiaoqin Zhang |
| 2025 | Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. | Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu |
| 2025 | Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving. | Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma |
| 2025 | CGI: Identifying Conditional Generative Models with Example Images. | Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo |
| 2025 | Fault Diagnosis in REDNet Model Space. | Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen |
| 2025 | Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space. | Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen |
| 2025 | CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection. | Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei |
| 2025 | What If LLMs Can Smell: A Prototype. | Xueyi Zhou, Qi Lu, Dong-Kyu Chae |
| 2025 | DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis. | Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen |
| 2025 | Diversified Experience Replay for Multi-agent Reinforcement Learning. | Guangchong Zhou, Feng Hong, Zeren Zhang, Guoliang Fan |
| 2025 | DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation. | Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng |
| 2025 | MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. | Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng |
| 2025 | Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning. | Wujun Zhou, Shu Ding, Zelin Li, Wei Wang |
| 2025 | Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. | Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li |
| 2025 | Injecting Imbalance Sensitivity for Multi-Task Learning. | Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong |
| 2025 | Dual-Balancing for Physics-Informed Neural Networks. | Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png |
| 2025 | CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. | Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song |
| 2025 | Robustness to Spurious Correlations via Dynamic Knowledge Transfer. | Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang |