📚 Google Scholar | 🧬 ORCID | 🌐 Web of Science| 📧 [email protected]

I am a researcher in data-driven optimization, multi-fidelity optimization (MFO), and automated machine learning (AutoML).
I have published 16 academic papers, including 9 first-author SCI papers (8 JCR Q1, 1 JCR Q2), with 1 ESI highly cited paper. My work has been cited 456+ times (Google Scholar), with the highest single-paper citation of 131. I also hold one granted patent and have achieved First Runner-Up in multiple international competitions in AutoML and IEEE CEC.

• Data-driven optimization: Evolutionary optimization, Bayesian optimization, Gaussian processes, multi-objective optimization
• Multi-fidelity optimization (MFO): Using low-fidelity to assist high-fidelity optimization, hyperparameter optimization
• Automated Machine Learning (AutoML): Hyperparameter optimization, neural architecture search, molecular design

✅ Developed efficient single-objective & multi-objective optimization algorithms
✅ Successfully applied in ship design, aircraft optimization, power grid scheduling, hyperparameter tuning, and bioinformatics

✅ Proposed nonlinear Gaussian regression-based MFO algorithms
✅ Introduced solution similarity transfer to accelerate high-fidelity optimization

✅ iM-Seeker: The first i-Motif AutoML platform
✅ Integrated automated feature engineering, model selection, and hyperparameter tuning for bioinformatics

• 🔬 Postdoctoral Research Fellow (2021 - Present)
  Department of Computer Science, University of Exeter, UK
• 🎓 PhD | Mechanical Science & Engineering (2017 - 2021)
  Huazhong University of Science & Technology (HUST), China
  Supervisors: Academician Weiming Shen, Vice President Liang Gao
• 🎓 MSc | Fluid Transmission & Control (2015 - 2017)
  Huazhong University of Science & Technology (HUST), China
  Supervisor: Prof. Yinshui Liu
• 🎓 BEng | Mechanical Design & Manufacturing (2011 - 2015)
  Jianghan University, China
  Supervisor: Dean Wuxin Yu

🏅 First Runner-Up:
🔹 AutoML Cup 2023
🔹 IEEE CEC 2019 Online Data-Driven Multi-Objective Optimization
🔹 IEEE WCCI 2020 Offline Data-Driven Evolutionary Optimization

🏅 Academic Awards:
🔹 2020 National Scholarship (PhD, HUST)
🔹 First-Class Academic Scholarship (2016-2020, HUST)

1️⃣ Fan Li, Liang Gao, Weiming Shen.
"Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria".
Swarm and Evolutionary Computation, 2023 (IF: 8.2, JCR Q1)

2️⃣ Fan Li, Liang Gao, Weiming Shen.
"Surrogate-Assisted Multi-Objective Evolutionary Optimization with Pareto Front Model based Local Search".
IEEE Transactions on Cybernetics, 2022 (IF: 9.4, JCR Q1 TOP)

3️⃣ Fan Li, Xiwen Cai, Liang Gao.
"A Surrogate-Assisted Hybrid Swarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems".
Swarm and Evolutionary Computation, 2022 (IF: 8.2, JCR Q1)

📌 Full List: Google Scholar

• 🔬 Project Website: iM-Seeker
• 🏆 Competition Results:
  • AutoML Cup 2023
  • DDEO-WCCI2020
• 📑 Academic Papers:
  • arXiv Preprint
• 📜 Patent:
  • CN106502208B

✍️ Last updated: March 2025