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Computer Science

Photo of Dr Ke Li

Dr Ke Li

UKRI Future Leaders Fellow and Senior Lecturer in Computer Science

 (Streatham) 4557

 01392 724557

Visit personal website


This webpage is significantly incomplete. All information related to my research and opennings in my group are in my personal homepage.

I am keen on looking for talented people (including PhD students and Postdocs) to join my lab. At the moment, I am interested in the following topics:

  1. Data-driven optimization (e.g., Bayesian optimization and reinforcement learning) for complex optimization tasks.
  2. Search-based software engineering, e.g., software defect prediction, configurable software system, code naturalness and automatic bug repair.
  3. Artificial intelligence for scientific discovery, e.g., new material discovery and RNA structure prediction.

Please refer to my homepage for more inforamtion of my research and potential opportunities in my lab.

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Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.

| To Appear | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 |

To Appear





  • Yuce S, Li K. (2021) An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization, Advances in Intelligent Systems and Computing, Springer International Publishing, 121-128, DOI:10.1007/978-3-030-87094-2_11. [PDF]
  • Li K, Chen R. (2021) Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. [PDF]
  • Li K. (2021) Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities. [PDF]
  • Billingsley J, Li K, Min G, Georgalas N. (2021) Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms. [PDF]
  • Billingsley J, Li K, Miao W, Min G, Georgalas N. (2021) Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 12654 LNCS, pages 708-720, DOI:10.1007/978-3-030-72062-9_56.
  • Xu J, Li K, Abusara M. (2021) Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem. [PDF]
  • Shan X, Li K. (2021) An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. [PDF]


  • Billingsley J, Li K, Miao W, Min G, Georgalas N. (2020) Routing-Led Placement of VNFs in Arbitrary Networks, 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). [PDF]
  • Li K, Xiang Z, Chen T, Tan KC. (2020) BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. [PDF]
  • Liu M, Li K, Chen T. (2020) DeepSQLi: Deep Semantic Learning for Testing SQL Injection. [PDF]
  • Li K, Nie H, Gao H, Yao X. (2020) Knee Point Identification Based on Trade-Off Utility. [PDF]
  • Sun L, Li K. (2020) Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. [PDF]
  • Ruan X, Li K, Derbel B, Liefooghe A. (2020) Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems. [PDF]
  • Li K, Xiang Z, Chen T, Wang S, Tan KC. (2020) Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. [PDF]
  • Billingsley J, Li K, Miao W, Min G, Georgalas N. (2020) Routing-Led Placement of VNFs in Arbitrary Networks. [PDF]












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