Bo Yang

18 papers A* 2A 3Misc 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Large Scale Tensor Factorization via Parallel Sketches.
IEEE Trans. Knowl. Data Eng.
Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2021 A conf
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering.
CIKM
Faisal M. Almutairi, Nicholas D. Sidiropoulos, Bo Yang
2020 A* conf
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
NeurIPS
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2020 J jnl
GRATE: Granular Recovery of Aggregated Tensor Data by Example.
CoRR
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
2020 A conf
Identifying Potential Investors with Data Driven Approaches.
SDM
Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos
2020 J jnl
Learning Nonlinear Mixtures: Identifiability and Algorithm.
IEEE Trans. Signal Process.
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2019 J jnl
Energy Storage Management via Deep Q-Networks.
CoRR
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
2019 J jnl
Learning Nonlinear Mixtures: Identifiability and Algorithm.
CoRR
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2019 J jnl
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2019 Misc conf
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm.
ACSSC
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2018 A conf
ParaSketch: Parallel Tensor Factorization via Sketching.
SDM
Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2017 J jnl
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering.
IEEE Trans. Signal Process.
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
2017 A* conf
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
ICML
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2016 J jnl
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering.
CoRR
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
2016 J jnl
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering.
IEEE Trans. Signal Process.
Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma, Nicholas D. Sidiropoulos
2016 Misc conf
Tensor completion via group-sparse regularization.
ACSSC
Bo Yang, Gang Wang, Nicholas D. Sidiropoulos
2016 J jnl
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
CoRR
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2015 — conf
Joint factor analysis and latent clustering.
CAMSAP
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos