🧐 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 a 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, neuro-symbolic AI, large language models, and their applications in intelligent transportation systems. If you are interested in research, I welcome you to reach out for collaboration and communication opportunities. For more information, please visit ORCID and GitHub.

🔥 News

• 2026.09:  🎉🎉 One paper is accepted by NeurIPS 2026 (CCF A).
• 2026.09: 🎉🎉 One paper is accepted by TTE.
• 2026.08: 🎉🎉 One paper is accepted by EMNLP 2026 Findings.
• 2026.07: 🎉🎉 One paper is accepted by IOT-J.
• 2025.05:  🎉🎉 One paper is accepted by KDD 2025(CCF A).
• 2024.12:  🎉🎉 One paper is accepted by TSMCS.
• 2024.06:  🎉🎉 Awarded Outstanding Master’s Thesis (Top 1%) at SUSTech.
• 2023.11:  🎉🎉 Selected as an Exemplary Graduate Student candidate at SUSTech.
• 2023.10:  🎉🎉 Awarded the National Scholarship (Top 1%).
• 2023.06:  🎉🎉 One paper is accepted by TEVC.
• 2023.03:  🎉🎉 One paper is accepted by IS.

📝 Selected Papers

• L. Xie, et al. “Discovering Programmatic Policies from Reinforcement Learning-Based Traffic Signal Controllers.” NIPS, 2026.

• Y. Zhang, L. Xie, et al. LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems [J]. arXiv preprint arXiv:2609.13805, 2026.

• Y. Zhang, L. Xie, et al. SE-MARL: Stackelberg-Equilibrium-Based Multi-Agent Reinforcement Learning with Exact-Tabular Convergence Analysis for EV Charging Pricing and Scheduling [J]. IEEE Transactions on Transportation Electrification, 2026.

• Y. Zhang, C. Wang, L. Xie, Y. Xu, et al. Integrating Large Language Models and Reinforcement Learning for Efficient Home Energy Management [J]. IEEE Internet of Things Journal, 2026.

• B. Tang, Y. Zhang, G. Zhuang, W. Wei, G. Zheng, L. Xie, et al. “From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents.” EMNLP(Findings), 2026.

• L. Xie, et al. “CoSyDelay: Cognitive Symbolic Regression for Traffic Delay Estimation.” 2026.

• L. Xie, et al. “Traffic Signal Optimization with Large Language Models.” 2025.

• 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, 2024, 55(3): 2196-2210..
• 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 Thesis, Southern University of Science and Technology.
• 2024.05 Outstanding Graduate, Southern University of Science and Technology.
• 2023.09 Outstanding Student, Southern University of Science and Technology.
• 2023.09 National Scholarship.

✒️ Professional Service

Journal Reviewer

• IEEE Transactions on Evolutionary Computation (SCI Q1)
• IEEE Transactions on Systems, Man and Cybernetics: Systems (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)

Conference Reviewer

• AAAI 2026
• KDD 2026
• WWW 2026

🎯 Hobbies

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