| 2026 | AAAI | AutoTool: Efficient Tool Selection for Large Language Model Agents. | Jingyi Jia, Qinbin Li |
| 2026 | AAAI | VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. | Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei |
| 2026 | ICDCS | EDAgent: A Concurrent Orchestration Method for Collaborative LLM Multi-Agent System. | Zongyang Yuan, Zechang Zhang, Qinbin Li, Lailong Luo, Deke Guo, Mingrui Lao |
| 2025 | AAAI | 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 |
| 2025 | ACL | MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. | Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He |
| 2025 | ICDCS | FedSU: Communication-efficient Federated Learning with Speculative Updating. | Wei Yu, Chen Chen, Qinbin Li, Jieru Zhao, Shixuan Sun, Bo Li, Minyi Guo |
| 2025 | ICML | 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 |
| 2024 | AAAI | Exploiting Label Skews in Federated Learning with Model Concatenation. | Yiqun Diao, Qinbin Li, Bingsheng He |
| 2024 | ICLR | 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 |
| 2024 | WWW | ModelGo: A Practical Tool for Machine Learning License Analysis. | Moming Duan, Qinbin Li, Bingsheng He |
| 2024 | SP | SoK: Privacy-Preserving Data Synthesis. | Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song |
| 2023 | CCS | Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. | Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li |
| 2023 | ICLR | Towards Addressing Label Skews in One-Shot Federated Learning. | Yiqun Diao, Qinbin Li, Bingsheng He |
| 2023 | ICML | Adversarial Collaborative Learning on Non-IID Features. | Qinbin Li, Bingsheng He, Dawn Song |
| 2023 | ICPP | Communication-Efficient Generalized Neuron Matching for Federated Learning. | Sixu Hu, Qinbin Li, Bingsheng He |
| 2022 | ICDE | Federated Learning on Non-IID Data Silos: An Experimental Study. | Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He |
| 2021 | CVPR | Model-Contrastive Federated Learning. | Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | IJCAI | Practical One-Shot Federated Learning for Cross-Silo Setting. | Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | IJCAI | Challenges and Opportunities of Building Fast GBDT Systems. | Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui |
| 2020 | AAAI | Practical Federated Gradient Boosting Decision Trees. | Qinbin Li, Zeyi Wen, Bingsheng He |
| 2020 | AAAI | Privacy-Preserving Gradient Boosting Decision Trees. | Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He |