Qinbin Li - RankMe

61 papers A* 19A 1B 1Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AutoTool: Efficient Tool Selection for Large Language Model Agents. AAAI Jingyi Jia, Qinbin Li
2026	J	`jnl`	CIBER: A Comprehensive Benchmark for Security Evaluation of Code Interpreter Agents. CoRR Lei Ba, Qinbin Li, Songze Li
2026	J	`jnl`	GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions. CoRR Yaowen Liu, Xuejia Chen, Anxin Tian, Haoyang Li, Qinbin Li, Xin Zhang, Alexander Zhou, Chen Jason Zhang, Qing Li, Lei Chen
2026	J	`jnl`	Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions. Trans. Mach. Learn. Res. Lixu Wang, Yinggang Sun, Yang Zhao, JiaQi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Haining Yu, Haibo Hu, Wei Dong
2026	A*	`conf`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. AAAI 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
2025	J	`jnl`	AutoTool: Efficient Tool Selection for Large Language Model Agents. CoRR Jingyi Jia, Qinbin Li
2025	A	`conf`	FedSU: Communication-efficient Federated Learning with Speculative Updating. ICDCS Wei Yu, Chen Chen, Qinbin Li, Jieru Zhao, Shixuan Sun, Bo Li, Minyi Guo
2025	A*	`conf`	GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. ICML Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2025	A*	`conf`	ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. AAAI Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu
2025	—	`conf`	MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. ACL (Findings) Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
2025	J	`jnl`	VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models. CoRR 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
2025	J	`jnl`	Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. CoRR Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan
2024	A*	`conf`	Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. NeurIPS Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024	J	`jnl`	Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. CoRR Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024	A*	`conf`	Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2024	A*	`conf`	Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI Yiqun Diao, Qinbin Li, Bingsheng He
2024	J	`jnl`	Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. CoRR Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu
2024	J	`jnl`	GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR 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	J	`jnl`	ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. CoRR Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu
2024	—	`conf`	Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems. CoRR Qian Wang, Tianyu Wang, Qinbin Li, Jingsheng Liang, Bingsheng He
2024	A*	`conf`	ModelGo: A Practical Tool for Machine Learning License Analysis. WWW Moming Duan, Qinbin Li, Bingsheng He
2024	J	`jnl`	OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2024	J	`jnl`	Practical Vertical Federated Learning With Unsupervised Representation Learning. IEEE Trans. Big Data Zhaomin Wu, Qinbin Li, Bingsheng He
2024	A*	`conf`	SoK: Privacy-Preserving Data Synthesis. SP Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
2023	A*	`conf`	Adversarial Collaborative Learning on Non-IID Features. ICML Qinbin Li, Bingsheng He, Dawn Song
2023	B	`conf`	Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP Sixu Hu, Qinbin Li, Bingsheng He
2023	J	`jnl`	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He
2023	J	`jnl`	Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2023	J	`jnl`	Exploiting Label Skews in Federated Learning with Model Concatenation. CoRR Yiqun Diao, Qinbin Li, Bingsheng He
2023	—	`conf`	FedTree: A Federated Learning System For Trees. MLSys Qinbin Li, Zhaomin Wu, Yanzheng Cai, Yuxuan Han, Ching Man Yung, Tianyuan Fu, Bingsheng He
2023	J	`jnl`	OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2023	J	`jnl`	SoK: Privacy-Preserving Data Synthesis. CoRR Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023	A*	`conf`	Towards Addressing Label Skews in One-Shot Federated Learning. ICLR Yiqun Diao, Qinbin Li, Bingsheng He
2023	A*	`conf`	Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
2022	A*	`conf`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS Zhaomin Wu, Qinbin Li, Bingsheng He
2022	A*	`conf`	Federated Learning on Non-IID Data Silos: An Experimental Study. ICDE Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
2022	J	`jnl`	Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2022	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2022	J	`jnl`	UniFed: A Benchmark for Federated Learning Frameworks. CoRR Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song
2021	J	`jnl`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2021	A*	`conf`	Challenges and Opportunities of Building Fast GBDT Systems. IJCAI Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
2021	J	`jnl`	Federated Learning on Non-IID Data Silos: An Experimental Study. CoRR Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
2021	A*	`conf`	Model-Contrastive Federated Learning. CVPR Qinbin Li, Bingsheng He, Dawn Song
2021	J	`jnl`	Model-Contrastive Federated Learning. CoRR Qinbin Li, Bingsheng He, Dawn Song
2021	A*	`conf`	Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI Qinbin Li, Bingsheng He, Dawn Song
2020	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. IEEE Trans. Neural Networks Learn. Syst. Qinbin Li, Zeyi Wen, Bingsheng He
2020	J	`jnl`	Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR Qinbin Li, Bingsheng He, Dawn Song
2020	A*	`conf`	Practical Federated Gradient Boosting Decision Trees. AAAI Qinbin Li, Zeyi Wen, Bingsheng He
2020	A*	`conf`	Privacy-Preserving Gradient Boosting Decision Trees. AAAI Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2020	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2020	J	`jnl`	ThunderGBM: Fast GBDTs and Random Forests on GPUs. J. Mach. Learn. Res. Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
2019	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He
2019	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	J	`jnl`	Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li
2019	J	`jnl`	Practical Federated Gradient Boosting Decision Trees. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	J	`jnl`	Privacy-Preserving Gradient Boosting Decision Trees. CoRR Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2018	J	`jnl`	ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen