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Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks

Nov 04, 2021
Shuai Ma, Fan Zhang, Songtao Lu, Hang Li, Ruixin Yang, Sihua Shao, Jiaheng Wang, Shiyin Li

* 14 pages, 13 figures, accepted by IEEE Transactions on Wireless Communications 

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Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective

Jun 17, 2021
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu

* fixed some typos in the proofs 

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Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition

Jun 12, 2021
Yihong Dong, Ying Peng, Muqiao Yang, Songtao Lu, Qingjiang Shi

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An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization

May 12, 2021
Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-hui Chang, Qingjiang Shi

* 24 pages, Special issue of ACM Transactions on Intelligent Systems and Technology 

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ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training

Apr 21, 2021
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan

* NeurIPS2020 accepted 

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Adversarial Examples for Unsupervised Machine Learning Models

Mar 02, 2021
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu

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Federated Acoustic Modeling For Automatic Speech Recognition

Feb 08, 2021
Xiaodong Cui, Songtao Lu, Brian Kingsbury

* Accepted by ICASSP 2021 

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Learned Fine-Tuner for Incongruous Few-Shot Learning

Oct 20, 2020
Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin

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Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization

Jan 15, 2020
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu

* First draft 

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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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Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems

Dec 16, 2019
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu

* Submit to TSP 

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Learn Electronic Health Records by Fully Decentralized Federated Learning

Dec 10, 2019
Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack

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Online Meta-Learning on Non-convex Setting

Oct 22, 2019
Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu

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Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach

Oct 13, 2019
Haoran Sun, Songtao Lu, Mingyi Hong

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Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Sep 30, 2019
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May Obelilly

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SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems

Jul 09, 2019
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong

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Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms

Mar 13, 2019
Shuai Ma, Jiahui Dai, Songtao Lu, Hang Li, Han Zhang, Chun Du, Shiyin Li

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Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics

Mar 08, 2019
Hongmei Wang, Zhenzhen Wu, Shuai Ma, Songtao Lu, Han Zhang, Guoru Ding, Shiyin Li

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Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications

Feb 21, 2019
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, Yongxin Chen

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Power Market Price Forecasting via Deep Learning

Oct 23, 2018
Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang

* This manuscript has been accepted by the incoming conference IECON 2018 at Washington DC, USA, Oct. 21-23, 2018 

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On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions

Feb 28, 2018
Songtao Lu, Mingyi Hong, Zhengdao Wang

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A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality

Mar 24, 2017
Songtao Lu, Mingyi Hong, Zhengdao Wang

* IEEE Transactions on Signal Processing (to appear) 

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