Mu Li
Mu Li
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Empirical evaluation of rectified activations in convolutional network
B Xu, N Wang, T Chen, M Li
arXiv preprint arXiv:1505.00853, 2015
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 2015
Communication efficient distributed machine learning with the parameter server
M Li, DG Andersen, AJ Smola, K Yu
Advances in Neural Information Processing Systems 27, 2014
Bag of tricks for image classification with convolutional neural networks
T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Resnest: Split-attention networks
H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Efficient mini-batch training for stochastic optimization
M Li, T Zhang, Y Chen, AJ Smola
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Dive into deep learning
A Zhang, ZC Lipton, M Li, AJ Smola
arXiv preprint arXiv:2106.11342, 2021
Emotion classification based on gamma-band EEG
M Li, BL Lu
2009 Annual International Conference of the IEEE Engineering in medicine and …, 2009
Parameter Server for Distributed Machine Learning
M Li, L Zhou, Z Yang, A Li, F Xia, DG Andersen, A Smola
Autogluon-tabular: Robust and accurate automl for structured data
N Erickson, J Mueller, A Shirkov, H Zhang, P Larroy, M Li, A Smola
arXiv preprint arXiv:2003.06505, 2020
Making large-scale Nyström approximation possible
M Li, JTY Kwok, B Lü
Proceedings of the 27th International Conference on Machine Learning, ICML …, 2010
Bag of freebies for training object detection neural networks
Z Zhang, T He, H Zhang, Z Zhang, J Xie, M Li
arXiv preprint arXiv:1902.04103, 2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
J. Mach. Learn. Res. 21 (23), 1-7, 2020
Large-scale Nyström kernel matrix approximation using randomized SVD
M Li, W Bi, JT Kwok, BL Lu
IEEE transactions on neural networks and learning systems 26 (1), 152-164, 2014
Iterative row sampling
M Li, GL Miller, R Peng
2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 127-136, 2013
Optimizing {CNN} Model Inference on {CPUs}
Y Liu, Y Wang, R Yu, M Li, V Sharma, Y Wang
2019 USENIX Annual Technical Conference (USENIX ATC 19), 1025-1040, 2019
xgboost: extreme gradient boosting. R package version 0.71. 2
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
Grin Verlag: München, Germnay, 2018
Language models with transformers
C Wang, M Li, AJ Smola
arXiv preprint arXiv:1904.09408, 2019
Revise saturated activation functions
B Xu, R Huang, M Li
arXiv preprint arXiv:1602.05980, 2016
Time and space efficient spectral clustering via column sampling
M Li, XC Lian, JT Kwok, BL Lu
CVPR 2011, 2297-2304, 2011
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