Songtao Lu
Songtao Lu
Research Scientist, IBM Thomas J. Watson Research Center, IBM Research AI
Verified email at - Homepage
Cited by
Cited by
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, pp. 3676-3691, 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
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
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
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
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
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
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
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
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
Macro-pico Amplitude-space Sharing with Optimized Han-Kobayashi Coding
Y Tian, S Lu, C Yang
IEEE Transactions on Communications 61 (10), 4404–4415, 2013
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
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
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
Q Shi, H Sun, S Lu, M Hong, M Razaviyayn
IEEE Transactions on Signal Processing 65 (22), 5995 - 6008, 2017
Beampattern Optimization for Frequency Diverse Array with Sparse Frequency Waveforms
C Mai, S Lu, J Sun, G Wang
IEEE Access 5 (1), 17914 - 17926, 2017
Factor Graph Aided Multiple Hypothesis Tracking
H Wang, J Sun, S Lu, S Wei
Science China Information Sciences 56 (10), 1-6, 2013
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
Energy Efficiency of SISO and MISO in Visible Light Communication Systems
S Ma, T Zhang, S Lu, H Li, Z Wu, S Li
IEEE/OSA Journal of Lightwave Technology 36 (12), 2499-2509, 2018
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
Maneuvering target tracking with improved unbiased FIR filter
JB Fu, J Sun, G Fei, S Lu
2014 International Radar Conference, 1-5, 2014
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