Traffic Optimization in Satellites Communications: A Multi-agent Reinforcement Learning Approach. - Zeyu Qin; Haipeng Yao; Tianle Mai (IWCMC, 2020)

A Line Selection Method Based on Transient Phase Current Variation Comparison. - Zeyu Qin; Liuqing Ye; Zhe Wang; Yue Qin; Jiyuan Huang; Xiong Xie; Xiangwei Hu (ICITEE, 2021)

Collaborate Q-learning Aided Load Balance in Satellites Communications. - Yutong Zhao; Haipeng Yao; Zeyu Qin; Tianle Mai (IWCMC, 2021)

Random Noise Defense Against Query-Based Black-Box Attacks. - Zeyu Qin; Yanbo Fan; Hongyuan Zha; Baoyuan Wu (NeurIPS, 2021)

Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. - Zeyu Qin; Yanbo Fan; Hongyuan Zha; Baoyuan Wu (CoRR, 2021)

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. - Zeyu Qin; Yanbo Fan; Yi Liu; Li Shen 008; Yong Zhang 034; Jue Wang 001; Baoyuan Wu (NeurIPS, 2022)

A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0. - Peiying Zhang 001; Chao Wang 093; Zeyu Qin; Haotong Cao (CoRR, 2022)

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. - Jiancong Xiao; Zeyu Qin; Yanbo Fan; Baoyuan Wu; Jue Wang 001; Zhi-Quan Luo (CoRR, 2022)

A multidomain virtual network embedding algorithm based on multiobjective optimization for Internet of Drones architecture in Industry 4.0. - Peiying Zhang 001; Chao Wang 093; Zeyu Qin; Haotong Cao (Softw. Pract. Exp., 2022)

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. - Liang Chen 001; Yang Deng 002; Yatao Bian; Zeyu Qin; Bingzhe Wu; Tat-Seng Chua; Kam-Fai Wong (EMNLP, 2023)

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. - Zeyu Qin; Liuyi Yao; Daoyuan Chen; Yaliang Li; Bolin Ding; Minhao Cheng (KDD, 2023)

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. - Ziniu Li; Tian Xu 003; Zeyu Qin; Yang Yu 001; Zhi-Quan Luo (NeurIPS, 2023)

Towards Stable Backdoor Purification through Feature Shift Tuning. - Rui Min; Zeyu Qin; Li Shen 008; Minhao Cheng (NeurIPS, 2023)

Multi-Agent Reinforcement Learning Aided Computation Offloading in Aerial Computing for the Internet-of-Things. - Zeyu Qin; Haipeng Yao; Tianle Mai; Di Wu 001; Ni Zhang; Song Guo 001 (IEEE Trans. Serv. Comput., 2023)

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense. - Rui Min; Zeyu Qin; Nevin L. Zhang; Li Shen 008; Minhao Cheng (NeurIPS, 2024)

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. - Haoyu Wang 003; Guozheng Ma; Ziqiao Meng; Zeyu Qin; Li Shen 008; Zhong Zhang; Bingzhe Wu; Liu Liu 014; Yatao Bian; Tingyang Xu; Xueqian Wang 001; Peilin Zhao (CoRR, 2024)

MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. - Yupeng Chen; Senmiao Wang; Zhihang Lin; Zeyu Qin; Yushun Zhang; Tian Ding; Ruoyu Sun 001 (CoRR, 2024)

Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2024)

Preserving Diversity in Supervised Fine-Tuning of Large Language Models. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Zhi-Quan Luo; Ruoyu Sun 001 (ICLR, 2025)

Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment. - Haoyu Wang 003; Zeyu Qin; Li Shen 008; Xueqian Wang 001; Minhao Cheng; Dacheng Tao (CoRR, 2025)

Scaling Laws of Synthetic Data for Language Models. - Zeyu Qin; Qingxiu Dong; Xingxing Zhang 002; Li Dong 004; Xiaolong Huang; Ziyi Yang; Mahmoud Khademi; Dongdong Zhang 001; Hany Hassan Awadalla; Yi R. Fung 001; Weizhu Chen; Minhao Cheng; et al. (CoRR, 2025)

Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment? - Hongzheng Yang; Yongqiang Chen 002; Zeyu Qin; Tongliang Liu; Chaowei Xiao; Kun Zhang 001; Bo Han 003 (CoRR, 2025)

Lifelong Safety Alignment for Language Models. - Haoyu Wang; Zeyu Qin; Yifei Zhao; Chao Du; Min Lin; Xueqian Wang; Tianyu Pang (CoRR, 2025)

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. - Ren-Jian Wang; Ke Xue 001; Zeyu Qin; Ziniu Li; Sheng Tang; Hao-Tian Li; Shengcai Liu; Chao Qian 001 (CoRR, 2025)

Reinforcement Learning with Rubric Anchors. - Zenan Huang; Yihong Zhuang; Guoshan Lu; Zeyu Qin; Haokai Xu; Tianyu Zhao; Ru Peng; Jiaqi Hu; Zhanming Shen; Xiaomeng Hu; Xijun Gu; Peiyi Tu; et al. (CoRR, 2025)