Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. - Qibing Ren; Qingquan Bao; Runzhong Wang; Junchi Yan (CVPR, 2022)

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. - Qibing Ren; Yiting Chen 003; Yichuan Mo; Qitian Wu; Junchi Yan (KDD, 2022)

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. - Yiting Chen 003; Qibing Ren; Junchi Yan (NeurIPS, 2022)

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. - Han Lu; Zenan Li; Runzhong Wang; Qibing Ren; Junchi Yan; Xiaokang Yang 001 (CoRR, 2022)

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 001; Junchi Yan (ICLR, 2023)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. - Qibing Ren; Chang Gao; Jing Shao; Junchi Yan; Xin Tan 002; Wai Lam; Lizhuang Ma (ACL (Findings), 2024)

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. - Huaqing Shao; Lanjun Wang; Yongwei Wang; Qibing Ren; Junchi Yan (KDD, 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 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

Exploring Safety Generalization Challenges of Large Language Models via Code. - Qibing Ren; Chang Gao; Jing Shao; Junchi Yan; Xin Tan 002; Yu Qiao 001; Wai Lam; Lizhuang Ma (CoRR, 2024)

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (CoRR, 2024)

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (ACL (1), 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, 2025)

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention. - Aili Chen; Aonian Li; Bangwei Gong; Binyang Jiang; Bo Fei; Bo Yang; Boji Shan; Changqing Yu; Chao Wang; Cheng Zhu; Chengjun Xiao; Chengyu Du; et al. (CoRR, 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, 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; et al. (CoRR, 2025)