Bo Yang
Bo Yang
Applied Scientist, Amazon Alexa
Verified email at amazon.com
Title
Cited by
Cited by
Year
Towards k-means-friendly spaces: Simultaneous deep learning and clustering
B Yang, X Fu, ND Sidiropoulos, M Hong
international conference on machine learning, 3861-3870, 2017
3622017
Robust volume minimization-based matrix factorization for remote sensing and document clustering
X Fu, K Huang, B Yang, WK Ma, ND Sidiropoulos
IEEE Transactions on Signal Processing 64 (23), 6254-6268, 2016
702016
Learning from hidden traits: Joint factor analysis and latent clustering
B Yang, X Fu, ND Sidiropoulos
IEEE Transactions on Signal Processing 65 (1), 256-269, 2016
262016
Parasketch: Parallel tensor factorization via sketching
B Yang, A Zamzam, ND Sidiropoulos
Proceedings of the 2018 SIAM International Conference on Data Mining, 396-404, 2018
142018
Learning nonlinear mixtures: Identifiability and algorithm
B Yang, X Fu, ND Sidiropoulos, K Huang
IEEE Transactions on Signal Processing, 2020
92020
On the degrees of freedom region of general MIMO broadcast channel with mixed CSIT
B Yang, D Wang, J Sun, Y Liu
2013 IEEE International Symposium on Information Theory, 937-941, 2013
92013
Snap: Finding approximate second-order stationary solutions efficiently for non-convex linearly constrained problems
S Lu, M Razaviyayn, B Yang, K Huang, M Hong
arXiv preprint arXiv:1907.04450, 2019
62019
Tensor completion via group-sparse regularization
B Yang, G Wang, ND Sidiropoulos
2016 50th Asilomar Conference on Signals, Systems and Computers, 1750-1754, 2016
62016
Joint factor analysis and latent clustering
B Yang, X Fu, ND Sidiropoulos
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
62015
Energy storage management via deep Q-networks
AS Zamzam, B Yang, ND Sidiropoulos
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
52019
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
S Lu, M Razaviyayn, B Yang, K Huang, M Hong
Advances in Neural Information Processing Systems 33, 2020
32020
Contrastive Unsupervised Learning for Speech Emotion Recognition
M Li, B Yang, J Levy, A Stolcke, V Rozgic, S Matsoukas, C Papayiannis, ...
arXiv preprint arXiv:2102.06357, 2021
12021
GRATE: Granular recovery of aggregated tensor data by example
AS Zamzam, B Yang, ND Sidiropoulos
arXiv preprint arXiv:2003.12666, 2020
12020
Large Scale Tensor Factorization via Parallel Sketches
B Yang, AS Zamzam, ND Sidiropoulos
IEEE Transactions on Knowledge and Data Engineering, 2020
2020
Identifying Potential Investors with Data Driven Approaches
B Yang, K Huang, ND Sidiropoulos
Proceedings of the 2020 SIAM International Conference on Data Mining, 235-243, 2020
2020
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm
B Yang, X Fu, ND Sidiropoulos, K Huang
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1040-1044, 2019
2019
Unsupervised Learning of Latent Structure from Linear and Nonlinear Measurements
B Yang
2019
Supplementary material of “Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering”
B Yang, X Fu, ND Sidiropoulos, M Hong
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