| Lightgbm: A highly efficient gradient boosting decision tree G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Advances in Neural Information Processing Systems, 3146-3154, 2017 | 7768 | 2017 |
| Lightgbm: A highly efficient gradient boosting decision tree QM GuolinKe, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Adv. Neural Inf. Process. Syst 30, 52, 2017 | 281 | 2017 |
| A communication-efficient parallel algorithm for decision tree Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu Advances in Neural Information Processing Systems 29, 2016 | 122 | 2016 |
| Suphx: Mastering mahjong with deep reinforcement learning J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ... arXiv preprint arXiv:2003.13590, 2020 | 94 | 2020 |
| Semi-supervised semantic segmentation via adaptive equalization learning H Hu, F Wei, H Hu, Q Ye, J Cui, L Wang Advances in Neural Information Processing Systems 34, 22106-22118, 2021 | 62 | 2021 |
| Asychronous training of machine learning model T Wang, W Chen, TY Liu, F Gao, YE Qiwei US Patent App. 16/327,679, 2019 | 37 | 2019 |
| -SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space Q Meng, S Zheng, H Zhang, W Chen, ZM Ma, TY Liu arXiv preprint arXiv:1802.03713, 2018 | 25 | 2018 |
| Decentralized circle formation control for fish-like robots in the real-world via reinforcement learning T Zhang, Y Li, S Li, Q Ye, C Wang, G Xie 2021 IEEE International Conference on Robotics and Automation (ICRA), 8814-8820, 2021 | 10 | 2021 |
| MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. T Zhang, Q Ye, J Bian, G Xie, TY Liu IJCAI, 500-506, 2021 | 8 | 2021 |
| Discriminator contrastive divergence: Semi-amortized generative modeling by exploring energy of the discriminator Y Song, Q Ye, M Xu, TY Liu arXiv preprint arXiv:2004.01704, 2020 | 8 | 2020 |
| Beyond exponentially discounted sum: Automatic learning of return function Y Wang, Q Ye, TY Liu arXiv preprint arXiv:1905.11591, 2019 | 8 | 2019 |
| Optimizing neural networks in the equivalent class space Q Meng, W Chen, S Zheng, Q Ye, TY Liu arXiv preprint arXiv:1802.03713, 2018 | 2 | 2018 |
| Optimization of neural network in equivalent class space W Chen, YE Qiwei, TY Liu, Q Meng US Patent 11,599,797, 2023 | 1 | 2023 |
| 1 Theorem 3.2 and its proof G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu | | |
| Supplementary Materials for" A Communication-Efficient Parallel Algorithm for Decision Tree Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu | | |
| Particle Based Stochastic Policy Optimization Q Ye, Y Song, C Liu, F Wei, T Qin, TY Liu | | |
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
