Qinbin Li
Qinbin Li
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
ThunderSVM: A fast SVM library on GPUs and CPUs
Z Wen, J Shi, Q Li, B He, J Chen
The Journal of Machine Learning Research 19 (1), 797-801, 2018
862018
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, B He
arXiv preprint arXiv:1907.09693, 2019
682019
Practical Federated Gradient Boosting Decision Trees
Q Li, Z Wen, B He
AAAI 2020, 2020
232020
Exploiting GPUs for efficient gradient boosting decision tree training
Z Wen, J Shi, B He, J Chen, K Ramamohanarao, Q Li
IEEE Transactions on Parallel and Distributed Systems 30 (12), 2706-2717, 2019
122019
Privacy-Preserving Gradient Boosting Decision Trees
Q Li, Z Wu, Z Wen, B He
AAAI 2020, 2020
102020
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Z Wen, H Liu, J Shi, Q Li, B He, J Chen
The Journal of Machine Learning Research (JMLR), 2020
72020
The oarf benchmark suite: Characterization and implications for federated learning systems
S Hu, Y Li, X Liu, Q Li, Z Wu, B He
arXiv preprint arXiv:2006.07856, 2020
62020
Adaptive Kernel Value Caching for SVM Training
Q Li, Z Wen, B He
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
32019
Federated Learning on Non-IID Data Silos: An Experimental Study
Q Li, Y Diao, Q Chen, B He
arXiv preprint arXiv:2102.02079, 2021
12021
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
Q Li, B He, D Song
arXiv preprint arXiv:2010.01017, 2020
12020
Model-Contrastive Federated Learning
Q Li, B He, D Song
CVPR 2021, 2021
2021
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Articles 1–11