Shiqing Liu

Shiqing Liu

PhD candidate

Bielefeld University

Biography

I am currently a Ph.D. student, supervised by Prof. Dr.-Ing. Yaochu Jin and Prof. Dr.-Ing. Ulrich Rückert, in the faculty of technology at Bielefeld University, Germany. I received the B.Sc. degree in automation and the M.Sc. degree in control science and engineering from Beijing Institute of Technology. My research interests include neural combinatorial optimization, graph neural networks and federated learning. I’m also a graduate student member of IEEE.

Interests
  • Neural Combinatorial Optimization
  • Graph Neural Network
  • Federated Learning
  • Neural Architecture Search
Education
  • PhD candidate in Computer Science

    Bielefeld University, Germany

  • M.Sc. in Control Science and Engineering, 2020

    Beijing Institute of Technology, China

  • B.Sc. in Automation, 2017

    Beijing Institute of Technology, China

Experience

 
 
 
 
 
GenCoin
CEO
GenCoin
January 2021 – Present California

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 
University X
Professor of Semiconductor Physics
University X
January 2016 – December 2020 California
Taught electronic engineering and researched semiconductor physics.

Awards

Best Student Paper Award
Federated Graph Neural Networks with Bipartite Embedding for Multi-Objective Facility Location
See certificate
Outstanding Presentation Award
Federated Bayesian Optimization for Privacy-preserving Neural Architecture Search
See certificate
Best Project Award
Privacy-Preserving Federated Learning (as supervisor)
See certificate

Projects

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All Publications

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(2023). End-to-end Pareto set prediction with graph neural networks for multi-objective facility location. International Conference on Evolutionary Multi-Criterion Optimization.

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(2023). Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. 2023 IEEE Congress on Evolutionary Computation (CEC).

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(2023). Federated Graph Neural Networks with Bipartite Embedding for Multi-Objective Facility Location. 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS).

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(2023). Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. Proceedings of the Companion Conference on Genetic and Evolutionary Computation.

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(2022). A survey on computationally efficient neural architecture search. Journal of Automation and Intelligence.

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Recent & Upcoming Talks

Contact

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