Mu Li
Mu Li
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
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
16672015
Empirical evaluation of rectified activations in convolutional network
B Xu, N Wang, T Chen, M Li
arXiv preprint arXiv:1505.00853, 2015
15552015
Scaling distributed machine learning with the parameter server
M Li, DG Andersen, JW Park, AJ Smola, A Ahmed, V Josifovski, J Long, ...
11th {USENIX} Symposium on Operating Systems Design and Implementation …, 2014
11762014
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
5262014
Communication Efficient Distributed Machine Learning with the Parameter Server.
M Li, DG Andersen, AJ Smola, K Yu
NIPS 2, 1.4-2.2, 2014
3962014
Emotion classification based on gamma-band EEG
M Li, BL Lu
2009 Annual International Conference of the IEEE Engineering in medicine and …, 2009
3352009
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
2992019
Parameter Server for Distributed Machine Learning
M Li, L Zhou, Z Yang, A Li, F Xia, DG Andersen, A Smola
1452013
Making large-scale Nyström approximation possible
M Li, JTY Kwok, B Lü
ICML 2010-Proceedings, 27th International Conference on Machine Learning, 631, 2010
1262010
Dive into deep learning
JM Czum
Journal of the American College of Radiology: JACR 17 (5), 637-638, 2020
119*2020
Resnest: Split-attention networks
H Zhang, C Wu, Z Zhang, Y Zhu, Z Zhang, H Lin, Y Sun, T He, J Mueller, ...
arXiv preprint arXiv:2004.08955, 2020
1062020
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
882014
Iterative row sampling
M Li, GL Miller, R Peng
2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 127-136, 2013
802013
Time and space efficient spectral clustering via column sampling
M Li, XC Lian, JT Kwok, BL Lu
CVPR 2011, 2297-2304, 2011
672011
Difacto: Distributed factorization machines
M Li, Z Liu, AJ Smola, YX Wang
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
532016
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
512019
Distributed delayed proximal gradient methods
M Li, DG Andersen, A Smola
NIPS Workshop on Optimization for Machine Learning 3, 3, 2013
512013
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, ...
Journal of Machine Learning Research 21 (23), 1-7, 2020
482020
Revise saturated activation functions
B Xu, R Huang, M Li
arXiv preprint arXiv:1602.05980, 2016
482016
xgboost: Extreme Gradient Boosting (2017)
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 0.6-4, 2015
482015
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