I am currently pursuing the Ph.D. degree in artificial intelligence with the Huazhong University of Science and Technology, under the supervision of Prof. Linqiang Pan. I received my M.S. degree in the School of Automation from Central South University in 2020 under the supervision of Prof. Yong Wang.

My research interest includes computational intelligence, multiobjective optimization, and surrogate-assisted evolutionary optimization.

📖 Experiences

• 2021 – Now, Doctor of Philosophy, Huazhong University of Science and Technology, Wuhan, China.
• 2020 – 2021, Research Assistant, Southern University of Science and Technology, Shenzhen, China.
• 2017 – 2020, Master of Engineering, Central South University, Changsha, China.
• 2013 – 2017, Bachelor of Engineering, Tiangong University, Tianjin, China.

📝 Publications

Selected Papers

1. L. Pan (Supervisor), J. Lin, H. Wang, C. He, K. C. Tan, and Y. Jin. Computationally Expensive High-dimensional Multiobjective Optimization via Surrogate-assisted Reformulation and Decomposition, IEEE Transactions on Evolutionary Computation, 2024 [Code]
2. J. Lin, C. He, X. Liu, and L. Pan. Reference Vector Guided Variables Selection for Expensive Large-scale Multiobjective Optimization, in 2024 IEEE Congress on Evolutionary Computation (CEC), 2024 [Code]
3. H. Li, J. Lin* , Q. Chen, C. He, L. Pan*. Supervised Reconstruction for High-dimensional Expensive Multiobjective Optimization, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
4. J. Lin and L. Pan. Multiobjective Trajectory Optimization with a Cutting and Padding Encoding Strategy for Single-UAV-Assisted Mobile Edge Computing System, Swarm and Evolutionary Computation, 2022
5. Y. Wang (Supervisor), J. Lin, J. Liu, G. Sun, and T. Pang. Surrogate-Assisted Differential Evolution with Region Division for Expensive Optimization Problems with Discontinuous Responses, IEEE Transactions on Evolutionary Computation, 2021
6. J. Lin, C. He, and R. Cheng. Adaptive Dropout for High-dimensional Expensive Multiobjective Optimization, Complex & Intelligent Systems, 2021 [Code]

Collaborative Papers

1. L. Li, J. Lin, C. He, L. Pan. Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets, Applied Soft Computing, 2024
2. C. He, H. Li, J. Lin, and Z. Lu. Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computational Expensive Multiobjective Optimization, in IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2023
3. H. Jiang, J. Lin, H. Zhu, and Y. Huang. Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method, in IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), 2023

📌 Professional Services

• Reviewer for:
  IEEE Transactions on Evolutionary Computation
  Swarm and Evolutionary Computation
  Complex & Intelligent System
  

• Editor/PC Member for:
  Bio-inspired Computing: Theories and Applications
  IEEE Symposium on Computational Intelligence for Financial Engineering and Economics