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 sparse optimization, low-rank matrix optimization, 0/1 loss optimization, bilevel optimization, and machine learning-related optimization. I am interested in solving various applications in machine learning, communication, and signal processing.

Key Links

Homepage, ResearchGate, Github, GoogleScolar

Selected Publications

Journal Articles

Zhou S, 2022, Gradient projection newton pursuit for sparsity constrained optimization, Applied and Computational Harmonic Analysis, Vol:61, Pages:75-100

Zhou S, Luo Z, Xiu N, et al., 2022, Computing one-bit compressive sensing via double-sparsity constrained optimization, IEEE Transactions on Signal Processing, ISSN:1053-587X, Pages:1-13

Zhou S, Pan L, Xiu N, et al., 2021, Quadratic convergence of smoothing Newton's method for 0/1 loss optimization, SIAM Journal on Optimization, Vol:31, ISSN:1052-6234, Pages:3184-3211

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, Xiu N, Qi HD, 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

More Publications