Liu, Dongrui

10 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

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