Qibing Ren

According to our database, Qibing Ren authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

MemEvoBench: Benchmarking Memory MisEvolution in LLM Agents.

Weiwei Xie, Shaoxiong Guo, Fan Zhang, Tian Xia, Xue Yang, Lizhuang Ma, Junchi Yan, Qibing Ren

CoRR, April, 2026

GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing.

Mingxin Liu, Ziqian Fan, Zhaokai Wang, Leyao Gu, Zirun Zhu, Yiguo He, Yuchen Yang, Changyao Tian, Xiangyu Zhao, Ning Liao, Shaofeng Zhang, Qibing Ren, Zhihang Zhong, Xuanhe Zhou, Junchi Yan, Xue Yang

CoRR, March, 2026

TodoEvolve: Learning to Architect Agent Planning Systems.

Jiaxi Liu, Yanzuo Jiang, Guibin Zhang, Zihan Zhang, Heng Chang, Zhenfei Yin, Qibing Ren, Junchi Yan

CoRR, February, 2026

2025

When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms.

Qibing Ren, Zhijie Zheng, Jiaxuan Guo, Junchi Yan, Lizhuang Ma, Jing Shao

CoRR, November, 2025

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report.

Xiaoyang Chen, Yunhao Chen, Zeren Chen, Zhiyun Chen, Hanyun Cui, Yawen Duan, Jiaxuan Guo, Qi Guo, Xuhao Hu, Hong Huang, Lige Huang, Chunxiao Li, Juncheng Li, Qihao Lin, Dongrui Liu, Xinmin Liu, Zicheng Liu, Chaochao Lu, Xiaoya Lu, Jingjing Qu, Qibing Ren, Jing Shao, Jingwei Shi, Jingwei Sun, Peng Wang, Weibing Wang, Jia Xu, Lewen Yan, Xiao Yu, Yi Yu, Boxuan Zhang, Jie Zhang, Weichen Zhang, Zhijie Zheng, Tianyi Zhou, Bowen Zhou

CoRR, July, 2025

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems.

Qibing Ren, Sitao Xie, Longxuan Wei, Zhenfei Yin, Junchi Yan, Lizhuang Ma, Jing Shao

CoRR, July, 2025

One RL to See Them All: Visual Triple Unified Reinforcement Learning.

Yan Ma, Linge Du, Xuyang Shen, Shaoxiang Chen, Pengfei Li, Qibing Ren, Lizhuang Ma, Yuchao Dai, Pengfei Liu, Junjie Yan

CoRR, May, 2025

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts.

Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues.

Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao

CoRR, 2024

Exploring Safety Generalization Challenges of Large Language Models via Code.

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range.

Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.

Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.

Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization.

Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang

CoRR, 2022

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain.

Yiting Chen, Qibing Ren, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.

Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond.

Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022