Qihan Ren - RankMe

29 papers A* 7Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence. Trans. Mach. Learn. Res. 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
2026	A*	`conf`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. AAAI Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu
2026	J	`jnl`	Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? CoRR Dadi Guo, Yuejin Xie, Qingyu Liu, Jiayu Liu, Zhiyuan Fan, Qihan Ren, Shuai Shao, Tianyi Zhou, Dongrui Liu, Yi R. Fung
2026	J	`jnl`	The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution. CoRR Chen Qian, Peng Wang, Dongrui Liu, Junyao Yang, Dadi Guo, Ling Tang, Jilin Mei, Qihan Ren, Shuai Shao, Yong Liu, Jie Fu, Jing Shao, Xia Hu
2025	J	`jnl`	A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. CoRR Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang
2025	J	`jnl`	Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. CoRR Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang
2025	J	`jnl`	Are Your Agents Upward Deceivers? CoRR Dadi Guo, Qingyu Liu, Dongrui Liu, Qihan Ren, Shuai Shao, Tianyi Qiu, Haoran Li, Yi R. Fung, Zhongjie Ba, Juntao Dai, Jiaming Ji, Zhikai Chen, Jialing Tao, Yaodong Yang, Jing Shao, Xia Hu
2025	J	`jnl`	Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks. CoRR Changyuan Qiu, Hangrui Cao, Qihan Ren, Ruiyu Li, Yuqing Qiu
2025	J	`jnl`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du
2025	J	`jnl`	Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models. CoRR Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao
2025	J	`jnl`	Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Hao Zhang, Yiting Chen, Qihan Ren, Jie Ren, Xu Cheng, Liyao Xiang
2025	J	`jnl`	Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions. CoRR Lei Cheng, Junpeng Zhang, Qihan Ren, Quanshi Zhang
2025	J	`jnl`	The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation. CoRR Huiqi Deng, Qihan Ren, Zhuofan Chen, Zhenyuan Cui, Wen Shen, Peng Zhang, Hongbin Pei, Quanshi Zhang
2025	J	`jnl`	Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm. CoRR Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao
2025	J	`jnl`	Towards the first principles of explaining DNNs: interactions explain the learning dynamics. Frontiers Inf. Technol. Electron. Eng. Huilin Zhou, Qihan Ren, Junpeng Zhang, Quanshi Zhang
2025	J	`jnl`	Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents. CoRR Shuai Shao, Qihan Ren, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Dongrui Liu, Jing Shao
2024	J	`jnl`	Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing. IEEE Trans. Pattern Anal. Mach. Intell. Wen Shen, Zhihua Wei, Qihan Ren, Binbin Zhang, Shikun Huang, Jiaqi Fan, Quanshi Zhang
2024	A*	`conf`	Towards the Dynamics of a DNN Learning Symbolic Interactions. NeurIPS Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang
2024	J	`jnl`	Towards the Dynamics of a DNN Learning Symbolic Interactions. CoRR Qihan Ren, Yang Xu, Junpeng Zhang, Yue Xin, Dongrui Liu, Quanshi Zhang
2024	A*	`conf`	Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs. ICLR Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang
2023	A*	`conf`	Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts. ICML Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
2023	J	`jnl`	Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts. CoRR Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
2023	A*	`conf`	Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. NeurIPS Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang
2023	J	`jnl`	Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models. CoRR Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang
2022	A*	`conf`	Discovering and Explaining the Representation Bottleneck of DNNS. ICLR Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang
2021	J	`jnl`	Discovering and Explaining the Representation Bottleneck of DNNs. CoRR Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
2021	A*	`conf`	Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. NeurIPS Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
2021	J	`jnl`	Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. CoRR Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
2020	J	`jnl`	Rotation-Equivariant Neural Networks for Privacy Protection. CoRR Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang