| 2026 | H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation. | Yijie Zhu, Rui Shao, Ziyang Liu, Jie He, Jizhihui Liu, Jiuru Wang, Zitong Yu |
| 2026 | Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization. | Mingming Zhu, Jiahua Rao, Xiaoyu Chen, Qianmu Yuan, Yuedong Yang |
| 2026 | QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation. | Xinguo Zhu, Shaohui Peng, Jiaming Guo, Yunji Chen, Qi Guo, Yuanbo Wen, Hang Qin, Ruizhi Chen, Qirui Zhou, Ke Gao, Yanjun Wu, Chen Zhao, Ling Li |
| 2026 | Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care. | Yupeng Zhuo, Eddie Zhang, Xiangchen Yu, Aditya Pachpande, Andrew W. Kirkpatrick, Jessica L. McKee, Juan P. Wachs |
| 2026 | LENS: Learning to Segment Anything with Unified Reinforced Reasoning. | Lianghui Zhu, Bin Ouyang, Yuxuan Zhang, Tianheng Cheng, Rui Hu, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Li Yu, Wenyu Liu, Xinggang Wang |
| 2026 | ExtendAttack: Attacking Servers of LRMs via Extending Reasoning. | Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang |
| 2026 | Dual-Horizon Interest Model for Unified Search and Recommendation. | Wenhao Zhu, Yuxin Li, Shuo Wang, Hao Wang |
| 2026 | Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging. | Qiyuan Zhu, Dezhi Li, Lujun Li, Xiaoyu Qin, Wei Li, Hao Gu, Hua Xu, Sirui Han, Yike Guo |
| 2026 | In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback. | Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang |
| 2026 | MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis. | Chunzheng Zhu, Yangfang Lin, Shen Chen, Yijun Wang, Jianxin Lin |
| 2026 | Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering. | Yihua Zhu, Qianying Liu, Akiko Aizawa, Hidetoshi Shimodaira |
| 2026 | Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations. | Qiuming Zhu, Haoran Kou, Linyi Qian, Chunqi Shi, Xianyi Wu, Ziwei Zhou |
| 2026 | More than Irrational: Modeling Belief-Biased Agents. | Yifan Zhu, Sammie Katt, Samuel Kaski |
| 2026 | DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks. | Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu |
| 2026 | Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space. | Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Lang Zhang, Fu Liu, Peng Jia, Xianpeng Lang |
| 2026 | RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees. | Zelin Zhu, Yancheng Huang, Kai Yang |
| 2026 | Explore How to Inject Beneficial Noise in MLLMs. | Ruishu Zhu, Sida Huang, Ziheng Jiao, Hongyuan Zhang |
| 2026 | PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization. | Xinxin Zhu, Ying He, Haowen Hou, Ruichong Zhang, Nianbo Zeng, Yulin Peng, Jiongfeng Fang, F. Richard Yu |
| 2026 | Pixel-level Quality Assessment for Oriented Object Detection. | Yunhui Zhu, Buliao Huang |
| 2026 | Frequency-Dependent Scheduled Schrdinger Bridge for Underwater Acoustic Signal Denoising. | Pengsen Zhu, Lina Gao, Yulong Huang, Lifeng Liu, Zeru Yang, Yonggang Zhang |
| 2026 | FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients. | Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han |
| 2026 | R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios. | Lu Zhu, Tiantian Geng, Yangye Chen, Teng Wang, Ping Luo, Feng Zheng |
| 2026 | Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory. | Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu, Fanzhang Li |
| 2026 | MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions. | Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie |
| 2026 | Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection. | Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Beiyao Sha, Anna Choromanska |