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Jiashuai Shi
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2020 – today
- 2023
- [j5]Xiaokang Zhou, Xuzhe Zheng, Xuesong Cui, Jiashuai Shi, Wei Liang, Zheng Yan, Laurence T. Yang, Shohei Shimizu, Kevin I-Kai Wang:
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks. IEEE J. Sel. Areas Commun. 41(10): 3191-3211 (2023) - 2020
- [j4]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: 108:1-108:5 (2020)
2010 – 2019
- 2019
- [j3]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen:
Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Trans. Knowl. Data Eng. 31(9): 1693-1706 (2019) - [j2]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): 2706-2717 (2019) - [c3]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen:
Efficient Multi-Class Probabilistic SVMs on GPUs. ICDE 2019: 2119-2120 - 2018
- [j1]Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen:
ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. 19: 21:1-21:5 (2018) - [c2]Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen:
Efficient Support Vector Machine Training Algorithm on GPUs. AAAI 2018: 8157-8158 - [c1]Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi:
Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS 2018: 234-243
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