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Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment

Nov 16, 2020
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong


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Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

Nov 10, 2020
Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo


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Learning to Beamform in Heterogeneous Massive MIMO Networks

Nov 08, 2020
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong

* 28 pages,12 figures, submitted to in IEEE transactions on signal processing 

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Generating Radiology Reports via Memory-driven Transformer

Oct 30, 2020
Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan

* Natural Language Processing. 11 pages, 6 figures. EMNLP-2020 

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Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing

Feb 12, 2020
Shuai Wang, Tsung-Hui Chang


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Learning Structured Communication for Multi-agent Reinforcement Learning

Feb 11, 2020
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha


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Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond

Jan 14, 2020
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu

* Submitted to IEEE Signal Processing Magazine Special Issue on Distributed, Streaming Machine Learning; THC, MH, HTW contributed equally 

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Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization

Jun 03, 2019
Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang


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Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis

Feb 19, 2016
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang

* 37 pages 

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Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance

Sep 09, 2015
Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang

* submitted for publication, 28 pages 

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