| 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 | 16131 | 2017 |
| 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 | 175 | 2020 |
| 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 | 175 | 2016 |
| 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 | 170 | 2021 |
| Asychronous training of machine learning model T Wang, W Chen, TY Liu, F Gao, YE Qiwei US Patent App. 16/327,679, 2019 | 74 | 2019 |
| Soaring from 4k to 400k: Extending llm’s context with activation beacon P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2401.03462 2 (3), 5, 2024 | 46* | 2024 |
| Proceeding of the Advances in Neural Information Processing Systems G Ke, Q Meng, T Finley, TF Wang, W Chen, WD Ma, Q Ye, TY Liu | 44 | 2017 |
| -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 | 32 | 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 | 23 | 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 | 15 | 2021 |
| Do Efficient Transformers Really Save Computation? K Yang, J Ackermann, Z He, G Feng, B Zhang, Y Feng, Q Ye, D He, ... arXiv preprint arXiv:2402.13934, 2024 | 12 | 2024 |
| Beyond exponentially discounted sum: Automatic learning of return function Y Wang, Q Ye, TY Liu arXiv preprint arXiv:1905.11591, 2019 | 12 | 2019 |
| Beyond weisfeiler-lehman: A quantitative framework for GNN expressiveness B Zhang, J Gai, Y Du, Q Ye, D He, L Wang arXiv preprint arXiv:2401.08514, 2024 | 11 | 2024 |
| Lightgbm: Light gradient boosting machine G Ke, D Soukhavong, J Lamb, Q Meng, T Finley, T Wang, W Chen, W Ma, ... R package version 3 (1.99), 2021 | 10 | 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 | 10 | 2020 |
| Extending Llama-3's Context Ten-Fold Overnight P Zhang, N Shao, Z Liu, S Xiao, H Qian, Q Ye, Z Dou arXiv preprint arXiv:2404.19553, 2024 | 7 | 2024 |
| Pre-training with fractional denoising to enhance molecular property prediction Y Ni, S Feng, X Hong, Y Sun, WY Ma, ZM Ma, Q Ye, Y Lan Nature Machine Intelligence 6 (10), 1169-1178, 2024 | 6 | 2024 |
| Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer X Lai, Y Liu, R Qian, Y Lin, Q Ye Entropy 25 (6), 885, 2023 | 4 | 2023 |
| Compressing Lengthy Context With UltraGist P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2405.16635, 2024 | 3 | 2024 |
| Optimizing neural networks in the equivalent class space Q Meng, W Chen, S Zheng, Q Ye, TY Liu arXiv preprint arXiv:1802.03713, 2018 | 3 | 2018 |
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA Fellow確認したメール アドレス: bjzgca.edu.cn
