🧐 About Me

Hello everyone, welcome to my personal homepage. I am Xie Lindong, a PhD candidate at The Hong Kong Polytechnic University, under the supervision of Professor Edward Chung. Before joining PolyU, I completed my Master’s degree at the Southern University of Science and Technology, where I was supervised by Dr. Zhenkun Wang and Dr. Genghui Li.

My primary research interests focus on black-box optimization, symbolic artificial intelligence, large language models, and their applications in intelligent transportation systems. If you are interested in my research, I welcome you to reach out for collaboration and communication opportunities. For more information, please visit my ORCID and GitHub.

🔥 News

• 2025.05:  🎉🎉 The paper titled ‘Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm’ has been accepted by KDD 2025(CCF A).
• 2024.12:  🎉🎉 The paper titled ‘Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables’ has been accepted by IEEE Transactions on Systems, Man, and Cybernetics Systems.
• 2024.06:  🎉🎉 The thesis titled ‘Research on Surrogate-Assisted Expensive Optimization Algorithms’ has been awarded the Outstanding Master’s Thesis (Top 1%) by Southern University of Science and Technology.
• 2023.11:  🎉🎉 Lindong Xie has become a candidate for the exemplary graduate student at Southern University of Science and Technology.
• 2023.10:  🎉🎉 Lindong Xie has been awarded the National Graduate Scholarship.
• 2023.06:  🎉🎉 The paper titled ‘Surrogate-Assisted Evolutionary Algorithm with Model and Infill Criterion Auto-Configuration’ has been accepted by IEEE Transactions on Evolutionary Computation.
• 2023.03:  🎉🎉 The paper titled ‘Evolutionary Algorithm with Individual-Distribution Search Strategy and Regression-Classification Surrogates for Expensive Optimization’ has been accepted by Information Sciences.

📝 Selected Papers

• L. Xie, et al. “Symbolic Regression for Traffic Delay Estimation”.
• L. Xie, et al. “Large Language Models for Traffic Signal Optimization”.

• L. Xie, Y. Zhang, Z. Tang, E. Chung, et al. “Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm.” Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, vol. 2, 2025: 3321–3332.

• L. Xie, G. Li, Z. Wang, E. Chung, and M. Gong. “Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization.” arXiv preprint arXiv:2507.02892, 2025.

• Z. Wang, L. Xie, G. Li, et al. “Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables.” IEEE Transactions on Systems, Man, and Cybernetics Systems.
• Z. Wang, Y. Chen, G. Li, and L. Xie, et al. “Batch Subproblem Coevolution with Gaussian Process-driven Linear Models for Expensive Multi-objective Optimization.” Swarm and Evolutionary Computation 91 (2024): 101700.
• L. Xie, G. Li, Z. Wang, L. Cui, and M. Gong, “Surrogate-Assisted Evolutionary Algorithm with Model and Infill Criterion Auto-Configuration,” in IEEE Transactions on Evolutionary Computation, vol. 28, no. 4, pp. 1114-1126, Aug. 2024.
• L. Xie, G. Li, K. Lin, and Z. Wang. “Dual-state-driven Evolutionary Optimization for Expensive Optimization Problems with Continuous and Categorical Variables.” 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2023.
• Li G¹, Xie L¹, Z. Wang, et al. Evolutionary Algorithm with Individual-distribution Search Strategy and Regression-classification Surrogates for Expensive Optimization[J]. Information Sciences, 2023, 634: 423-442.

🎖 Selected Honors and Awards

• 2025.12 International Collaborative Research Fellowship, The Hong Kong Polytechnic University.
• 2025.09 KDD 2025 Student Travel Award, KDD 2025.
• 2024.05 Outstanding Master’s Thesis, Southern University of Science and Technology.
• 2024.05 Outstanding Master’s Graduate, Southern University of Science and Technology.
• 2023.09 Outstanding Master’s Student, Southern University of Science and Technology.
• 2023.09 National Scholarship.

✒️ Professional Service

Journal Reviewer

• IEEE Transactions on Evolutionary Computation (SCI Q1)
• Knowledge based Systems (SCI Q1)
• Archives of Computational Methods in Engineering (SCI Q1)
• Swarm and Evolutionary Computation (SCI Q1)
• Information Sciences (SCI Q1)
• Applied Soft Computing (SCI Q1)

🎯 Hobbies

I enjoy a variety of outdoor activities (e.g., hiking, traveling) and natural scenery, as well as listening to music.