Li, Qinbin

17 publications

TMLR 2026 Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions Lixu Wang, Sun Yinggang, Yang Zhao, Jiaqi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Yu Haining, Haibo Hu, Wei Dong

ICLRW 2025 All It Takes Is One Prompt: An Autonomous LLM-MA System Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He

ICML 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li

AAAI 2025 ICM-Assistant: Instruction-Tuning Multimodal Large Language Models for Rule-Based Explainable Image Content Moderation Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu

NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

ICLR 2024 Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

AAAI 2024 Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao, Qinbin Li, Bingsheng He

ICML 2023 Adversarial Collaborative Learning on Non-IID Features Qinbin Li, Bingsheng He, Dawn Song

ICLR 2023 Towards Addressing Label Skews in One-Shot Federated Learning Yiqun Diao, Qinbin Li, Bingsheng He

NeurIPS 2022 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning Zhaomin Wu, Qinbin Li, Bingsheng He

IJCAI 2021 Challenges and Opportunities of Building Fast GBDT Systems Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui

CVPR 2021 Model-Contrastive Federated Learning Qinbin Li, Bingsheng He, Dawn Song

IJCAI 2021 Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li, Bingsheng He, Dawn Song

AAAI 2020 Practical Federated Gradient Boosting Decision Trees Qinbin Li, Zeyi Wen, Bingsheng He

AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He

MLOSS 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen

MLOSS 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen