Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate in Communications and Signal Processing



shenglong.zhou CV




Electrical EngineeringSouth Kensington Campus





Employment History

Research Associate, 2021-present
Department of EEEImperial College London, UK

Teaching Fellow, 2020-2021
Research Fellow, 2017-2020
School of Mathematics, University of Southampton, UK

Education Background

PhD in Operational Research, 2014-2017
School of MathematicsUniversity of Southampton, UK

MSc in Operational Research, 2011-2014
BSc in Information and Computing Sciences, 2007-2011
Department of MathematicsBeijing Jiaotong University, China

Research Interests

His research interests include the theory and methods of optimization in the fields of the sparse, low-rank matrix, and bilevel optimization with applications into communications, signal processing, and machine learning.

Key Links

Homepage, ResearchGate, Github, GoogleScolar

Selected Publications

Journal Articles

Zhou S, 2021, Sparse SVM for sufficient data reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN:0162-8828, Pages:1-11

Zhou S, Shang M, Pan L, et al., 2021, Newton hard-thresholding pursuit for sparse linear complementarity problem via a new merit function, SIAM Journal on Scientific Computing, Vol:43, ISSN:1064-8275, Pages:A772-A799

Zhou S, Xiu N, Qi H-D, 2021, Global and quadratic convergence of Newton hard-thresholding pursuit, Journal of Machine Learning Research, Vol:22, ISSN:1532-4435

Zhou S, Xiu N, Qi H-D, 2020, Robust Euclidean embedding via EDM optimization, Mathematical Programming Computation, Vol:12, ISSN:1867-2949, Pages:337-387

Zhou S, Xiu N, Qi H-D, 2018, A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints, IEEE Transactions on Signal Processing, Vol:66, ISSN:1053-587X, Pages:4331-4346

More Publications