Qihan Ren

According to our database, Qihan Ren authored at least 30 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Attributing Emergence in Million-Agent Systems.

Ling Tang, Jilin Mei, Chen Qian, Qihan Ren, Linfeng Zhang, Quanshi Zhang, Jing Shao, Xia Hu, Dongrui Liu

CoRR, May, 2026

Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability.

Qihan Ren, Peng Wang, Ruikun Cai, Shuai Shao, Dadi Guo, Yuejin Xie, Yafu Li, Quanshi Zhang, Xia Hu, Jing Shao, Dongrui Liu

CoRR, April, 2026

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis.

Yu Li, Haoyu Luo, Yuejin Xie, Yuqian Fu, Zhonghao Yang, Shuai Shao, Qihan Ren, Wanying Qu, Yanwei Fu, Yujiu Yang, Jing Shao, Xia Hu, Dongrui Liu

CoRR, April, 2026

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

Dadi Guo, Yuejin Xie, Qingyu Liu, Jiayu Liu, Zhiyuan Fan, Qihan Ren, Shuai Shao, Tianyi Zhou, Dongrui Liu, Yi R. Fung

CoRR, March, 2026

The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution.

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

CoRR, January, 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

Trans. Mach. Learn. Res., 2026

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation.

Quanshi Zhang, Hao Zhang, Yiting Chen, Qihan Ren, Jie Ren, Xu Cheng, Liyao Xiang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation.

Huiqi Deng, Qihan Ren, Zhuofan Chen, Zhenyuan Cui, Wen Shen, Peng Zhang, Hongbin Pei, Quanshi Zhang

CoRR, December, 2025

Are Your Agents Upward Deceivers?

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

CoRR, December, 2025

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm.

Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

CoRR, October, 2025

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents.

Shuai Shao, Qihan Ren, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Dongrui Liu, Jing Shao

CoRR, September, 2025

Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models.

Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao

CoRR, September, 2025

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks.

Changyuan Qiu, Hangrui Cao, Qihan Ren, Ruiyu Li, Yuqing Qiu

CoRR, August, 2025

Towards the first principles of explaining DNNs: interactions explain the learning dynamics.

Huilin Zhou, Qihan Ren, Junpeng Zhang, Quanshi Zhang

Frontiers Inf. Technol. Electron. Eng., July, 2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence.

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

CoRR, July, 2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

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

CoRR, May, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

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

CoRR, May, 2025

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions.

Lei Cheng, Junpeng Zhang, Qihan Ren, Quanshi Zhang

CoRR, February, 2025

2024

Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing.

Wen Shen, Zhihua Wei, Qihan Ren, Binbin Zhang, Shikun Huang, Jiaqi Fan, Quanshi Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards the Dynamics of a DNN Learning Symbolic Interactions.

Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs.

Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models.

Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang

CoRR, 2023

Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts.

Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts.

Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Discovering and Explaining the Representation Bottleneck of DNNS.

Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Discovering and Explaining the Representation Bottleneck of DNNs.

Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang

CoRR, 2021

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.

Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Rotation-Equivariant Neural Networks for Privacy Protection.

Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang

CoRR, 2020