Qihan Ren

According to our database, Qihan Ren authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

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

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45^° Law.

Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu

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 38: 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