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 30, 2017
15069 2017 R-drop: Regularized dropout for neural networks L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu
Advances in Neural Information Processing Systems 34, 10890-10905, 2021
457 2021 Asynchronous stochastic gradient descent with delay compensation S Zheng, Q Meng, T Wang, W Chen, N Yu, ZM Ma, TY Liu
International conference on machine learning, 4120-4129, 2017
332 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
169 2016 Convergence analysis of distributed stochastic gradient descent with shuffling Q Meng, W Chen, Y Wang, ZM Ma, TY Liu
Neurocomputing 337, 46-57, 2019
150 2019 Priorgrad: Improving conditional denoising diffusion models with data-dependent adaptive prior S Lee, H Kim, C Shin, X Tan, C Liu, Q Meng, T Qin, W Chen, S Yoon, ...
arXiv preprint arXiv:2106.06406, 2021
114 2021 An efficient Lorentz equivariant graph neural network for jet tagging S Gong, Q Meng, J Zhang, H Qu, C Li, S Qian, W Du, ZM Ma, TY Liu
Journal of High Energy Physics 2022 (7), 1-22, 2022
110 2022 Target transfer Q-learning and its convergence analysis Y Wang, Y Liu, W Chen, ZM Ma, TY Liu
Neurocomputing 392, 11-22, 2020
59 2020 SE (3) equivariant graph neural networks with complete local frames W Du, H Zhang, Y Du, Q Meng, W Chen, N Zheng, B Shao, TY Liu
International Conference on Machine Learning, 5583-5608, 2022
55 2022 Reinforcement learning with dynamic boltzmann softmax updates L Pan, Q Cai, Q Meng, W Chen, L Huang, TY Liu
arXiv preprint arXiv:1903.05926, 2019
48 2019 The implicit bias for adaptive optimization algorithms on homogeneous neural networks B Wang, Q Meng, W Chen, TY Liu
International Conference on Machine Learning, 10849-10858, 2021
39 2021 The impact of large language models on scientific discovery: a preliminary study using gpt-4 MR AI4Science, MA Quantum
arXiv preprint arXiv:2311.07361, 2023
35 2023 Unidrop: A simple yet effective technique to improve transformer without extra cost Z Wu, L Wu, Q Meng, Y Xia, S Xie, T Qin, X Dai, TY Liu
arXiv preprint arXiv:2104.04946, 2021
32 2021 Q Meng, S Zheng, H Zhang, W Chen, ZM Ma, TY Liu
arXiv preprint arXiv:1802.03713, 2018
31 2018 Machine-learning nonconservative dynamics for new-physics detection Z Liu, B Wang, Q Meng, W Chen, M Tegmark, TY Liu
Physical Review E 104 (5), 055302, 2021
29 2021 Capacity control of ReLU neural networks by basis-path norm S Zheng, Q Meng, H Zhang, W Chen, N Yu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5925-5932, 2019
25 2019 Positively scale-invariant flatness of relu neural networks M Yi, Q Meng, W Chen, Z Ma, TY Liu
arXiv preprint arXiv:1903.02237, 2019
25 2019 Asynchronous Accelerated Stochastic Gradient Descent. Q Meng, W Chen, J Yu, T Wang, Z Ma, TY Liu
IJCAI, 1853-1859, 2016
25 2016 Asynchronous stochastic proximal optimization algorithms with variance reduction Q Meng, W Chen, J Yu, T Wang, ZM Ma, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
24 2017 Does Lorentz-symmetric design boost network performance in jet physics? C Li, H Qu, S Qian, Q Meng, S Gong, J Zhang, TY Liu, Q Li
Physical Review D 109 (5), 056003, 2024
16 2024 
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerifisert e-postadresse på microsoft.com
