About

Chao Wang

Chao Wang (王超)

Postdoc, Associate Researcher
School of Artificial Intelligence, Xidian University

Advisors: Prof. Licheng Jiao (IEEE Life Fellow)
Co-Advisors: Prof. Jing Liu, Prof. Kai Wu

📧 xiaofengxd@126.com
📍 Xi'an, China

Google Scholar  |  ResearchGate  |  GitHub  |  CSDN  |  Aminer  |  Chinese Homepage

🔬 Research Interests

My research focuses on the intersection of evolutionary computation and machine learning:

  • Knowledge-driven Meta Black-box Optimization
  • Open-ended Neuroevolution
  • Evolutionary Intelligence for Science

📝 Publications

First-author Papers (*) and Corresponding-author Papers (†)

  1. EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning. First International Workshop on Learning-assisted Algorithm Design (IJCAI-LEAD), accepted, 2026. [Code] (Core Ranking A* Workshop)
  2. Model Merging to Evolution: Parameter Space Exploration for Expert Models. Parallel Problem Solving From Nature (PPSN), accepted, 2026. [Code] (Core Ranking A)
  3. C. Wang*, L. Li, L. Jiao, et al. Learning Evolution via Optimization Knowledge Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2026. (IF: 18.6, JCR I) [Paper] [Code]
  4. C. Wang*, L. Jiao, L. Li, et al. Task-free Adaptive Meta Black-box Optimization. International Conference on Learning Representations (ICLR), 2026. (Core Ranking A*) [Paper] [Code]
  5. C. Wang*, J. Zhao, L. Jiao, et al. When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges. Research (Science Partner Journal), 8: 0646, 2025. (IF: 10.9, JCR I) [Paper]
  6. C. Wang*, J. Zhao, L. Li, et al. Knowledge-aware Evolutionary Graph Neural Architecture Search. Knowledge-Based Systems (KBS), 309: 112810, 2025. (IF: 7.2, JCR I) [Paper] [Code]
  7. C. Wang*, J. Zhao, L. Li, et al. Automatic Graph Topology-Aware Transformer. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 36(5):8470-8484, 2024. (IF: 10.2, JCR I) [Paper] [Code]
  8. C. Wang*, J. Zhao, L. Li, et al. Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search. IEEE Transactions on Evolutionary Computation (IEEE TEVC), 28(1):208–222, 2024. (IF: 11.7, JCR I) [Paper] [Code]
  9. C. Wang*, J. Zhao, L. Li, et al. A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks. IEEE Computational Intelligence Magazine (IEEE CIM), 18(1):52–67, 2023. (IF: 9, JCR I) [Paper] [Code]
  10. C. Wang*, J. Liu, K. Wu, et al. Evolutionary Multitasking AUC Optimization. IEEE Computational Intelligence Magazine (IEEE CIM), 17(2):67–82, 2022. (IF: 9.8, JCR I) [Paper] [Code]
  11. C. Wang*, J. Liu, K. Wu, et al. Solving Multitask Optimization Problems with Adaptive Knowledge Transfer via Anomaly Detection. IEEE Transactions on Evolutionary Computation (IEEE TEVC), 26(2):304–318, 2022. (IF: 16.5, JCR I) [Paper] [Code]
  12. C. Wang*, J. Liu, K. Wu, et al. Learning Large-scale Fuzzy Cognitive Maps Using an Evolutionary Many-task Algorithm. Applied Soft Computing (ASOC), 108:107441, 2021. (IF: 8.3, JCR I) [Paper] [Code]
  13. C. Wang*, J. Zhao, L. Li, et al. Pareto Automatic Multi-Task Learning on Graphs. 2023 (preprint).
  14. T. Ma, C. Wang†, K. Wu, et al. Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection. Neurocomputing, 654: 131263, 2025. (IF: 6.5, JCR I) [Paper] [Code]
  15. K. Wu, C. Wang†, J. Liu. Evolutionary Multitasking Multilayer Network Reconstruction. IEEE Transactions on Cybernetics (IEEE TCYB), 52(12):12854–12868, 2022. (IF: 19.1, JCR I) [Paper] [Code]

Collaborative Papers

  1. G. Wang, X. Zhang*, J. Lai, et al. Expanding Then Fusing: Weakly-supervised Remote Sensing Semantic Segmentation via Progressive Multi-modal Fusion, Pattern Recognition (PR), 177: 113392, 2026. (IF:7.6, JCR I) [Paper]
  2. J. Zhao, L. Li*, L. Jiao, et al. Modality-Prior Aware Progressive Diffusion Pansharpening, IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 64(4404215): 1-15, 2026.(IF:8.6, JCR I) [Paper]
  3. J. Zhao, L. Jiao*, C. Wang, et al. S3Diffuser: Frequency Selected State Space Guided Diffusion Model for Multimodal Fusion Classification. Information Fusion, 125: 103447, 2026. (IF: 15.5, JCR I) [Paper]
  4. L. Jiao*, J. Zhao, C. Wang, et al. Nature-inspired Intelligent Computing: A Comprehensive Survey. Research (Science Partner Journal), 7: 0442, 2024. (IF: 8.5, JCR I) [Paper]
  5. J. Zhao, L. Jiao*, C. Wang, et al. Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 34(10): 10368-10384, 2024. (IF: 8.4, JCR I) [Paper]
  6. J. Zhao, L. Jiao*, C. Wang, et al. GeoFormer: A Geometric Representation Transformer for Change Detection. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 61:1–17, 2023. (IF: 8.2, JCR I) [Paper]
  7. H. Zhao*, X. Ning, X. Liu, C. Wang, J. Liu. What Makes Evolutionary Multi-task Optimization Better. Applied Soft Computing (ASOC), 145:110545, 2023. (IF: 8.26, JCR I) [Paper]
  8. C. Ying, J. Liu, K. Wu, C. Wang. A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems. IEEE Transactions on Cybernetics (IEEE TCYB), 53(4):2137–2150, 2023. (IF: 19.1, JCR I) [Paper] [Code]
  9. 吴凯, 王超, 刘静*. 流数据驱动的多层非线性动力学网络重构 [J]. 中国科学: 技术科学, 2022, 52(6): 971-982. [code]
  10. K. Wu, J. Liu*, C. Wang, Yuan. Pareto Optimization for Influence Maximization in Social Networks. Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings 11. Springer International Publishing, 2021: 697-707. (Core Ranking C) [Paper] [Code]

🧩 Selected Projects

Topic Description Links
Knowledge-driven Meta Black-box Optimization Adaptive knowledge transfer, Adaptive meta black-box optimization. MTEA-AD / ABOM / OKAEM
Open-ended Neuroevolution Neural architecture search, Model merging. BLMOL / KEGNAS / EGTAS / MERGEvolve
Evolutionary Intelligence for Science LLMs as evolutionary operators and heuristic designers. Survey / Repo

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