Qinbin Li

Privacy-Preserving Gradient Boosting Decision Trees

Bingsheng He, Zeyi Wen, Qinbin Li, 2019, AAAI.

Adaptive Kernel Value Caching for SVM Training

Bingsheng He, Zeyi Wen, Qinbin Li, 2019, IEEE Transactions on Neural Networks and Learning Systems.

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems pdf

Bingsheng He, Yuan Li, Xu Liu, 2020, ArXiv.

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training

Bingsheng He, Kotagiri Ramamohanarao, Zeyi Wen, 2019, IEEE Transactions on Parallel and Distributed Systems.

Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer pdf

Dawn Song, Bingsheng He, Qinbin Li, 2020, ArXiv.

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Bingsheng He, Zeyi Wen, Jian Chen, 2020, J. Mach. Learn. Res..

Practical Federated Gradient Boosting Decision Trees pdf

Bingsheng He, Zeyi Wen, Qinbin Li, 2019, AAAI.

Federated Learning on Non-IID Data Silos: An Experimental Study pdf

Bingsheng He, Qinbin Li, Yiqun Diao, 2021, 2022 IEEE 38th International Conference on Data Engineering (ICDE).