activity
20112026
most citedLearning to Optimize: Training Deep Neural Networks for Wireless Resource Management

895 citations · 5.3k across the 104 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

cs.LG2016★ 607 cited

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos +1

Most learning approaches treat dimensionality reduction (DR) and clustering separately (i.e., sequentially), but recent research has shown that optimizing the two tasks jointly can…

cs.IT2016★ 78 cited

Joint Source-Relay Design for Full--Duplex MIMO AF Relay Systems

Qingjiang Shi, Mingyi Hong, Xiqi Gao +3

The performance of full-duplex (FD) relay systems can be greatly impacted by the self-interference (SI) at relays. By exploiting multi-antenna in FD relay systems, the spectral eff…

math.NA2016★ 32 cited

Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization

Qingjiang Shi, Haoran Sun, Songtao Lu +2

Symmetric nonnegative matrix factorization (SNMF) is equivalent to computing a symmetric nonnegative low rank approximation of a data similarity matrix. It inherits the good data i…

math.OC2016★ 4 cited

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization

Xingguo Li, Tuo Zhao, Raman Arora +2

The cyclic block coordinate descent-type (CBCD-type) methods, which performs iterative updates for a few coordinates (a block) simultaneously throughout the procedure, have shown r…

stat.ML2016★ 46 cited

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis

Xiao Fu, Kejun Huang, Mingyi Hong +2

Generalized canonical correlation analysis (GCCA) aims at finding latent low-dimensional common structure from multiple views (feature vectors in different domains) of the same ent…

cs.LG2016★ 4 cited

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function

Xingguo Li, Haoming Jiang, Jarvis Haupt +4

Many machine learning techniques sacrifice convenient computational structures to gain estimation robustness and modeling flexibility. However, by exploring the modeling structures…