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Cun Mu
Cun Mu
Director of Machine Learning, Walmart Global Tech
Dirección de correo verificada de walmart.com - Página principal
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Citado por
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Año
Discrete graph hashing
W Liu, C Mu, S Kumar, SF Chang
Advances in Neural Information Processing Systems (NeurIPS), 3419-3427, 2014
6522014
Square deal: lower bounds and improved relaxations for tensor recovery
C Mu, B Huang, J Wright, D Goldfarb
The International Conference on Machine Learning (ICML), 73-81, 2014
3822014
Provable models for robust low-rank tensor completion
B Huang, C Mu, D Goldfarb, J Wright
Pacific Journal of Optimization 11 (2), 339-364, 2015
207*2015
Scalable robust matrix recovery: Frank-Wolfe meets proximal methods
C Mu, Y Zhang, J Wright, D Goldfarb
SIAM J. Sci. Comput. 38 (5), 3291–3317, 2016
842016
Low-rank similarity metric learning in high dimensions
W Liu, C Mu, R Ji, S Ma, JR Smith, SF Chang
The AAAI Conference on Artificial Intelligence (AAAI), 2792-2799, 2015
582015
Successive rank-one approximations of nearly orthogonally decomposable symmetric tensors
C Mu, D Hsu, D Goldfarb
SIAM Journal on Matrix Analysis and Applications 36 (4), 1638-1659, 2015
362015
Towards practical visual search engine within Elasticsearch
C Mu, J Zhao, G Yang, J Zhang, Y Zheng
SIGIR eCom'18, 2018
212018
Using negative curvature in solving nonlinear programs
D Goldfarb, C Mu, J Wright, C Zhou
Computational Optimization and Applications 68 (3), 479–502, 2017
212017
Revisiting skip-gram negative sampling model with rectification
C Mu, G Yang, Z Yan
Intelligent Computing: Proceedings of the Computing Conference, 485-497, 2019
172019
Toward guaranteed illumination models for non-convex objects
Y Zhang, C Mu, HW Kuo, J Wright
The International Conference on Computer Vision (ICCV), 937-944, 2013
162013
Greedy approaches to symmetric orthogonal tensor decomposition
C Mu, D Hsu, D Goldfarb
SIAM Journal on Matrix Analysis and Applications 38 (4), 1210-1226, 2017
132017
An empirical comparison of FAISS and FENSHSES for nearest neighbor search in hamming space
C Mu, B Yang, Z Yan
SIGIR eCom'19, 2019
72019
Fast and exact nearest neighbor search in hamming space on full-text search engines
C Mu, J Zhao, G Yang, B Yang, Z Yan
International Conference on Similarity Search and Applications, 49-56, 2019
5*2019
Machine learning based methods and apparatus for automatically generating item rankings
RMTR Eletreby, C Mu, Z Wang, R Mukherjee
US Patent App. 17/246,179, 2022
42022
Systems and methods for identifying non-compliant images using neural network architectures
T Stanley, B Yang, C Mu
US Patent 11,758,069, 2023
32023
A machine learning approach to shipping box design
G Yang, C Mu
The Intelligent Systems Conference (IntelliSys), 402-407, 2020
32020
System and method for fault-tolerant parallel learning over non-iid data
A Kadav, R Min, E Kruus, C Mu
US Patent App. 15/296,560, 2017
32017
Long or short or both? An exploration on lookback time windows of behavioral features in product search ranking
Q Liu, A Singh, J Liu, C Mu, Z Yan, J Pedersen
SIGIR eCom, 2024
22024
Systems and methods for improving ecommerce search ranking via query-price affinity values
X Liu, V Joshi, J Han, C Mu, R Mukherjee
US Patent App. 17/308,477, 2022
2*2022
Random walk distributed dual averaging method for decentralized consensus optimization
C Mu, A Kadav, E Kruus, D Goldfarb, MR Min
Proceedings of the NeurIPS Optimization Workshop, 2015
22015
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Artículos 1–20