Qinbin Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Gradient Boosting

Learning Systems

Benchmark Suite

Bdi Architecture

Top Venues

J. Mach. Learn. Res.

Publications

Moming Duan, Qinbin Li, Bingsheng He
ModelGo: A Practical Tool for Machine Learning License Analysis. WWW (2024)
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR (2024)
Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. CoRR (2024)
Yiqun Diao, Qinbin Li, Bingsheng He
Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI (2024)
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. 17 (6) (2024)
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML (2024)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR (2024)
Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data 1 (2) (2023)
Sixu Hu, Qinbin Li, Bingsheng He
Communication-Efficient Generalized Neuron Matching for Federated Learning. ICPP (2023)
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR (2023)
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yiqun Diao, Qinbin Li, Bingsheng He
Towards Addressing Label Skews in One-Shot Federated Learning. ICLR (2023)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
SoK: Privacy-Preserving Data Synthesis. CoRR (2023)
Qinbin Li, Zhaomin Wu, Yanzheng Cai, Yuxuan Han, Ching Man Yung, Tianyuan Fu, Bingsheng He
FedTree: A Federated Learning System For Trees. MLSys (2023)
Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS (2023)
Qinbin Li, Bingsheng He, Dawn Song
Adversarial Collaborative Learning on Non-IID Features. ICML (2023)
Yiqun Diao, Qinbin Li, Bingsheng He
Exploiting Label Skews in Federated Learning with Model Concatenation. CoRR (2023)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR (2023)
Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song
UniFed: A Benchmark for Federated Learning Frameworks. CoRR (2022)
Zhaomin Wu, Qinbin Li, Bingsheng He
Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR (2022)
Zhaomin Wu, Qinbin Li, Bingsheng He
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS (2022)
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
Federated Learning on Non-IID Data Silos: An Experimental Study. ICDE (2022)
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
Federated Learning on Non-IID Data Silos: An Experimental Study. CoRR (2021)
Qinbin Li, Bingsheng He, Dawn Song
Model-Contrastive Federated Learning. CVPR (2021)
Qinbin Li, Bingsheng He, Dawn Song
Model-Contrastive Federated Learning. CoRR (2021)
Qinbin Li, Bingsheng He, Dawn Song
Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI (2021)
Zhaomin Wu, Qinbin Li, Bingsheng He
Exploiting Record Similarity for Practical Vertical Federated Learning. CoRR (2021)
Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
Challenges and Opportunities of Building Fast GBDT Systems. IJCAI (2021)
Qinbin Li, Zeyi Wen, Bingsheng He
Practical Federated Gradient Boosting Decision Trees. AAAI (2020)
Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
Privacy-Preserving Gradient Boosting Decision Trees. AAAI (2020)
Qinbin Li, Zeyi Wen, Bingsheng He
Adaptive Kernel Value Caching for SVM Training. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Qinbin Li, Bingsheng He, Dawn Song
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR (2020)
Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
ThunderGBM: Fast GBDTs and Random Forests on GPUs. J. Mach. Learn. Res. 21 (2020)
Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR (2020)
Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
Privacy-Preserving Gradient Boosting Decision Trees. CoRR (2019)
Qinbin Li, Zeyi Wen, Bingsheng He
Adaptive Kernel Value Caching for SVM Training. CoRR (2019)
Qinbin Li, Zeyi Wen, Bingsheng He
Practical Federated Gradient Boosting Decision Trees. CoRR (2019)
Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li
Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. 30 (12) (2019)
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR (2019)
Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. 19 (2018)