Liu, Dongrui

20 publications

TMLR 2026 A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

ICLR 2026 Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang, Biqing Qi, Dongrui Liu, Linfeng Zhang

ICLR 2026 Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment Lu Chen, Yuxuan Huang, Yixing Li, Dongrui Liu, Qihan Ren, ShuaiZhao, Kun Kuang, Zilong Zheng, Quanshi Zhang

ICLR 2026 Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Yang JingYi, Yu Cheng, Dongrui Liu, Jing Shao

ICLR 2026 Evaluating Data Influence in Meta Learning Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Dongrui Liu, Lijie Hu, Di Wang

ICLR 2026 ExGRPO: Learning to Reason from Experience Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek F. Wong, Yu Cheng

ICLR 2026 OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Haichuan Tang, Dongrui Liu, Xinfeng Li, Kun Wang

ICLR 2026 PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities Zicheng Liu, Lige Huang, Jie Zhang, Dongrui Liu, Yuan Tian, Jing Shao

ICLR 2026 The Devil Behind the Mask: An Emergent Safety Vulnerability of Diffusion LLMs Zichen Wen, Jiashu Qu, Zhaorun Chen, Xiaoya Lu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang

ICLR 2026 Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

ICLR 2026 Your Agent May Misevolve: Emergent Risks in Self-Evolving LLM Agents Shuai Shao, Qihan Ren, Dongrui Liu, Chen Qian, Boyi Wei, Dadi Guo, Yang JingYi, Xinhao Song, Linfeng Zhang, Weinan Zhang, Jing Shao

CVPR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang

NeurIPS 2025 Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens Are Information Peaks in LLM Reasoning Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao

ICLR 2025 REEF: Representation Encoding Fingerprints for Large Language Models Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao

NeurIPS 2025 RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents Yang JingYi, Shuai Shao, Dongrui Liu, Jing Shao

AAAI 2024 Explaining Generalization Power of a DNN Using Interactive Concepts Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

CVPR 2024 MLP Can Be a Good Transformer Learner Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang

NeurIPS 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang

NeurIPS 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang

NeurIPS 2021 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang