Songtao Lu

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Mingyi HongAssociate Professor, University of MinnesotaVerified email at umn.edu
Zhengdao WangProfessor of Electrical and Computer Engineering, Iowa State UniversityVerified email at iastate.edu
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Xiaodong CuiPrincipal Research Scientist, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Meisam RazaviyaynUniversity of Southern CaliforniaVerified email at usc.edu
Lior HoreshIBM TJ Watson Research Center | Columbia UniversityVerified email at us.ibm.com
Yongxin ChenAssistant Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Jia (Kevin) LiuAssistant Professor of Electrical and Computer Engineering, The Ohio State UniversityVerified email at ece.osu.edu
Brian KingsburyDistinguished Research Staff Member and Manager, IBM T. J. Watson Research Center, Yorktown HeightsVerified email at us.ibm.com
Tianyi ChenAssistant Professor, Rensselaer Polytechnic InstituteVerified email at rpi.edu
Yangyang XuRensselaer Polytechnic InstituteVerified email at rpi.edu
Tsung-Hui Chang (張縱輝)Associate Professor of The Chinese University of Hong Kong, ShenzhenVerified email at ieee.org
Qingjiang Shi (史清江)Professor@Tongji UniversityVerified email at tongji.edu.cn
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
Hoi-To WaiAssistant Professor, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Tamer BaşarSwanlund Endowed Chair Emeritus & CAS Professor Emeritus of ECE, University of IllinoisVerified email at illinois.edu
Mark S. SquillanteMathematical Sciences Department, IBM ResearchVerified email at us.ibm.com
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaVerified email at umn.edu
Xiao FuAssistant Professor, EECS, Oregon State UniversityVerified email at oregonstate.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu

Songtao Lu

Senior Research Scientist, IBM Thomas J. Watson Research Center; MIT-IBM Watson AI Lab; RPI-IBM AIRC

Verified email at ibm.com - Homepage

Adversarial Learning Distributed learning Nonconvex Optimization Multi-agent Reinforcement Learning Robust AI


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Hybrid Block Successive Approximation for One-Sided Non-Convex Min-max Problems: Algorithms and Applications S Lu, I Tsaknakis, M Hong, Y Chen IEEE Transactions on Signal Processing 68, 3676-3691, 2020	137	2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks S Liu, S Lu, X Chen, Y Feng, K Xu, A Al-Dujaili, M Hong, UM O’Reilly International Conference on Machine Learning (ICML), 6282-6293, 2020	68*	2020
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond TH Chang, M Hong, HT Wai, X Zhang, S Lu IEEE Signal Processing Magazine 37 (3), 26-38, 2020	66	2020
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization S Lu, X Zhang, H Sun, M Hong 2019 IEEE Data Science Workshop (DSW), 315-321, 2019	66	2019
Nonconvex min-max optimization: Applications, challenges, and recent theoretical advances M Razaviyayn, T Huang, S Lu, M Nouiehed, M Sanjabi, M Hong IEEE Signal Processing Magazine 37 (5), 55-66, 2020	64	2020
Decentralized federated learning for electronic health records S Lu, Y Zhang, Y Wang 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2020	61*	2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking H Sun, S Lu, M Hong International Conference on Machine Learning (ICML), 9217-9228, 2020	60	2020
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality S Lu, M Hong, Z Wang IEEE Transactions on Signal Processing 65 (12), 3120–3135, 2017	51	2017
Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms S Ma, J Dai, S Lu, H Li, H Zhang, C Du, S Li IEEE Access 7, 30588-30598, 2019	44	2019
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics H Wang, Z Wu, S Ma, S Lu, H Zhang, G Ding, S Li IEEE Access 7 (1), 30792-30801, 2019	43	2019
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training CY Chen, J Ni, S Lu, X Cui, PY Chen, X Sun, N Wang, S Venkataramani, ... Advances in Neural Information Processing Systems (NeurIPS) 33, 2020	42	2020
Block Alternating Optimization for Non-convex Min-Max Problems: Algorithms and Applications in Signal Processing and Communications S Lu, I Tsaknakis, M Hong IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019	38	2019
Optimal Power Allocation for Mobile Users in Non-Orthogonal Multiple Access Visible Light Communication Networks S Ma, Y He, H Li, S Lu, F Zhang, S Li IEEE Transactions on Communications 67 (3), 2233 - 2244, 2019	38	2019
Throughput of Underwater Wireless Ad Hoc Networks with Random Access: A Physical Layer Perspective S Lu, Z Wang, Z Wang, S Zhou IEEE Transactions on Wireless Communications 14 (11), 6257–6268, 2015	33	2015
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning S Lu, K Zhang, T Chen, T Basar, L Horesh Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8767-8775, 2021	31	2021
Federated acoustic modeling for automatic speech recognition X Cui, S Lu, B Kingsbury ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	29	2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization Z Li, PY Chen, S Liu, S Lu, Y Xu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021	29	2021
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization S Lu, M Hong, Z Wang International Conference on Machine Learning (ICML), 4134-4143, 2019	29*	2019
Training Optimization and Performance of Single Cell Uplink System with Massive-Antennas Base Station S Lu, Z Wang IEEE Transactions on Communications 67 (2), 1570–1585, 2019	29*	2019
Load Profile Disaggregation by Blind Source Separation: A Wavelets-assisted Independent Component Analysis Approach Y Zhu, S Lu 2014 IEEE PES General Meeting\| Conference & Exposition, 1-5, 2014	29	2014

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