Scholar
Shengcai Liu
Google Scholar ID: tV0nV3oAAAAJ
Southern University of Science and Technology
Citations & Impact
Citations
1,014
H-index
16
i10-index
21
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Preprints include 'Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles' and 'LLM-Driven Instance-Specific Heuristic Generation and Selection'; journal papers include 'Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization' published in IEEE Transactions on Computational Social Systems, and 'Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges' published in IEEE Transactions on Emerging Topics in Computational Intelligence, among others.
Research Experience
- From Jan 2021 to Jan 2023, was a Research Assistant Professor at the CSE Department of SUSTech; from Jan 2023 to May 2024, served as a Visiting Professor and later a senior scientist at CFAR, A*STAR, Singapore, collaborating with Prof. Yew-Soon Ong from NTU; also a member of the Nature Inspired Computation and Applications Laboratory (NICAL) led by Prof. Xin Yao and Prof. Ke Tang.
Education
- Received B.Sc. from the School of Computer Science and Technology at USTC in 2014, advised by Prof. Xin Yao and Prof. Ke Tang; received Ph.D. from the same school in 2020, also advised by Prof. Xin Yao and Prof. Ke Tang.
Background
- Research Interests: Fully-automated design of general-purpose, scalable optimizers; learning easy-to-use, general-purpose, scalable optimizers for discrete optimization problems; learning optimizers for applications with huge impact, e.g., industry software and web applications; code generation with LLMs for anything huge (not just optimization!!!).
Miscellany
- Looking for self-motivated Master students, Ph.D. students, Postdocs, and research assistants (RA) working in the above research directions. Interested candidates are welcome to contact via email.
