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.

📝 Publications

Selected Papers

1. J. Lin, C. He, H. Jiang, Y. Huang, and Y. Jin. Surrogate-assisted Multiobjective Genes Selection Method for Cell Classification from Single-cell RNA Sequencing Data, IEEE Transactions on Evolutionary Computation, 2025 JCR Q1
2. J.Lin, C. He, Y. Tian, and L. Pan. Variable Reconstruction for Evolutionary Large-scale Expensive Multiobjective Optimization and Its Application on Aerodynamic Design, IEEE/CAA Journal of Automatica Sinica, 2025 JCR Q1
3. 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 JCR Q1 [Code]
4. 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]
5. 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 JCR Q1
6. 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 JCR Q1
7. 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 JCR Q1
8. J.Lin, C. He, and R. Cheng. Adaptive Dropout for High-dimensional Expensive Multiobjective Optimization, Complex & Intelligent Systems, 2021 JCR Q1 [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