Songtao Lu  Songtao Lu photo         

contact information

AI Resident
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  

links



2020

Distributed Learning in the Non-Convex World: from Batch to Streaming Data, and Beyond
Tsung-Hui Change, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
IEEE Signal Processing Magazine, 2020

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, Yongxin Chen
IEEE Transactions on Signal Processing, 2020


2019

Perturbed Projected Gradient Descent Converges to Approximate Second-Order Stationary Points for Bound Constrained Nonconvex Problems
Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5356-5360, 2019

Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point
Songtao Lu, Mingyi Hong, Zhengdao Wang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2907-2911, 2019

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs
Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong
The 53rd Annual Asilomar Conference on Signals, Systems, and Computers, 2019

Learn Electronic Records by Fully Decentralized Federated Learning
Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack
The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop on Federated Learning for Data Privacy and Confidentiality, 2019

Spatial Transmitter Density Allocation for Frequency-Selective Wireless Ad Hoc Networks
Songtao Lu, Zhengdao Wang
IEEE Transactions on Wireless Communications, vol. 18, pp. 473-486, 2019

Training Optimization and Performance of Single Cell Uplink System with Massive-Antennas Base Station
Songtao Lu, Zhengdao Wang
IEEE Transactions on Communications, vol. 67, pp. 1570-1585, 2019

PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization
Songtao Lu, Mingyi Hong, Zhengdao Wang
International Conference on Machine Learning (ICML), Long oral talk, pp. 4134-4143, 2019

GNSD: A Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization
Songtao Lu, Xinwei Zhang, Haoran Sun, Mingyi Hong
IEEE Data Science Workshop (DSW), pp. 315-321, 2019

Block Alternating Optimization for Non-Convex Min-Max Problems: Algorithms and Applications in Signal Processing and Communications
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019


2017

A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality
Songtao Lu, Mingyi Hong, Zhengdao Wang
IEEE Transactions on Signal Processing, vol. 65, pp. 3120-3135, 2017

A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization
Songtao Lu, Mingyi Hong, Zhengdao Wang
International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 812-821, 2017