Jing-Yu JI, Jeff

Research

I'm interested in developing efficient evolutionary models and algorithms for constrained optimization, multimodal optimization, and expensive optimization, etc.

Journal Papers:

1. SMSMO: Learning to Generate Multimodal Summary for Scientific Papers
   Xinyi Zhong, Zusheng Tan, Shen Gao, Jing Li, Jiaxing Shen, Jing-Yu Ji, Jeff Tang, and Billy Chiu
   Knowledge-Based Systems, 2024 | Paper Link | Accepted Manuscript
2. Heat Pipe-Constrained IoT Device Layout via Multiobjective Differential Evolution
   Jing-Yu Ji, Zusheng Tan, Man-Leung Wong, and Jun Zhang
   IEEE Internet of Things Journal, 2024 | Paper Link | Accepted Manuscript
3. A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges
   Hanhua Zou, Sanyou Zeng, Changhe Li, and Jing-Yu Ji
   Engineering Applications of Artificial Intelligence, 2024 | Paper Link | Accepted Manuscript
4. An ε-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems
   Jing-Yu Ji, Zusheng Tan, Sanyou Zeng, and Man-Leung Wong
   Applied Soft Computing, 2024 | Paper Link
5. A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems
   Jing-Yu Ji, Zusheng Tan, Sanyou Zeng, Eric W.K.See-To, and Man-Leung Wong
   IEEE TETCI, 2023 | Paper Link | Accepted Manuscript | Code
6. Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots
   Jing-Yu Ji and Man-Leung Wong
   Information Sciences, 2022
7. ε-Constrained multiobjective differential evolution using linear population size expansion
   Jing-Yu Ji, Sanyou Zeng, and Man-Leung Wong
   Information Sciences, 2022
8. An improved dynamic multi-objective optimization approach for nonlinear equation systems
   Jing-Yu Ji and Man-Leung Wong
   Information Sciences, 2021
9. Density-Enhanced Multiobjective Evolutionary Approach for Power Economic Dispatch Problems
   Jing-Yu Ji, Wei-Jie Yu, Jinghui Zhong, Jun Zhang
   IEEE TSMC: Systems, 2021 | Paper Link | Accepted Manuscript
10. Multiobjective optimization with ϵ-constrained method for solving real-parameter constrained optimization problems
    Jing-Yu Ji, Wei-Jie Yu, Yue-Jiao Gong, and Jun Zhang
    Information Sciences, 2018
11. A tri-objective differential evolution approach for multimodal optimization
    Wei-Jie Yu, Jing-Yu Ji, Wei-Jie Yu, Yue-Jiao Gong, Qiang Yang, and Jun Zhang
    Information Sciences, 2018

Conference Papers:

1. Multi-output Neural Network-Assisted Differential Evolution for Optimization Problems with Expensive Objective Function and Inequalities
   Shengqi Gui, Haoyi Liu, Jing-Yu Ji*, and Jun Zhang
   The 12th International Conference on Machine Intelligence Theory and Applications (MiTA), 2025
2. Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output
   Zusheng Tan, Xinyi Zhong, Jing-Yu Ji*, Wei Jiang, and Billy Chiu
   The 31st International Conference on Computational Linguistics (COLING), 2025, CCF-B Level
3. Surrogate-Assisted Differential Evolution for Expensive Equality Constrained Optimization
   Jing-Yu Ji, Shengqi Gui, Wei-Jie Yu, Man Leung Wong, and Sam Kwong
   IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024, CCF-C Level
4. Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization
   Sen Yang, Zusheng Tan, Jing-Yu Ji*, Haoran Xie, Man Leung Wong, and Sam Kwong
   IEEE Congress on Evolutionary Computation (CEC), 2024
5. An Improved Gradient-Based Repair Method for Constrained Numerical Optimization
   Jing-Yu Ji, Sen Yang, Kwan Yeung Lee, Billy Chiu, Man Leung Wong, Sam Kwong
   IEEE Congress on Evolutionary Computation (CEC), 2024
6. Surrogate-assisted Parameter Re-initialization for Differential Evolution
   Jing-Yu Ji and Man-Leung Wong
   IEEE Symposium Series on Computational Intelligence, 2022
7. Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution
   Jing-Yu Ji, Wei-Jie Yu, and Jun Zhang
   International Conference on Evolutionary Multi-Criterion Optimization, 2019
8. A two-stage coevolution approach for constrained optimization
   Jing-Yu Ji, Wei-Jie Yu, and Jun Zhang
   Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
9. Solving multimodal optimization problems through a multiobjective optimization approach
   Jing-Yu Ji, Wei-Jie Yu, Wei-Neng Chen, Zhi-Hui Zhan, and Jun Zhang
   Seventh International Conference on Information Science and Technology, 2017

Patent

• Method and System for Component Layout of Satellite Payload Bay Based on Heat Pipe Constraints
  Jing-Yu Ji, Shengqi Gui, Jinxin Zhang, and Liping Liang, CN Patent, Granted, 2025

Grant

• Shenzhen University-Lingnan University Joint Research Programme, 30,000 CNY & 36,000 HKD (Principal Investigator, Active).
• Phase III Construction of High-Level University for the Youth Scholars, 30,000 CNY (Principal Investigator, Active).
• Incorporating Visual-Linguistic Features into Medical Bibliometrics, 100,000 CNY (Principal Investigator, Active).
• Data-driven Evolutionary Optimization for Product Layout in Consumer Electronics, 20,000 CNY (Principal Investigator, Active).
• Decomposition-based Multiobjective Optimization for Multimodal Optimization Problems, 50,000 HKD (Principal Investigator, Finished).

Service

• Session Chair: IEEE CEC 2024 Seesion on Nature-Inspired Constrained Optimization.
• Session Chair: IEEE SMC 2024 Session on Optimization and Self-Organization.
• Invited Speaker: International Conference on Computer Science and Engineering, Copenhagen, Denmark. Theme: Innovations in AI and Machine Learning.

Teaching

• Probability and Mathematical Statistics (Chinese Mode)
• Statistics for Business (English Mode)
• Operations Simulation with Decision Analysis (English Mode)
• Machine Learning (English Mode)

Contact

• Email: jingyuji@ln.hk
• Email: im@jijingyu.com
• Email: jingyuji@szu.edu.cn