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:

  • Evolutionary Transfer Optimization
  • Meta Black-box Optimization
  • LLM-assisted Evolutionary Computation
  • Automated Machine Learning

📝 Publications

First-author Papers (*)

  1. C. Wang*, L. Jiao, L. Li, et al. Task-free Adaptive Meta Black-box Optimization. International Conference on Learning Representations (ICLR), 2026. (CAAI A) [Paper] [Code]
  2. C. Wang*, J. Zhao, L. Jiao, et al. When large language models meet evolutionary algorithms: Potential enhancements and challenges. Research (Science Partner Journal), 2025. (IF: 10.9, JCR I) [Paper]
  3. C. Wang*, J. Zhao, L. Li, et al. Knowledge-aware Evolutionary Graph Neural Architecture Search. Knowledge-Based Systems, 2024. (IF: 7.2, JCR I, CAAI B) [Paper] [Code]
  4. C. Wang*, J. Zhao, L. Li, et al. Automatic Graph Topology-Aware Transformer. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024. (IF: 10.2, JCR I, CAAI A) [Paper] [Code]
  5. 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, CAAI A) [Paper] [Code]
  6. 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, CAAI B) [Paper] [Code]
  7. 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, CAAI B) [Paper] [Code]
  8. 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, CAAI A) [Paper] [Code]
  9. C. Wang*, J. Liu, K. Wu, et al. Learning Large-scale Fuzzy Cognitive Maps Using an Evolutionary Many-task Algorithm. Applied Soft Computing, 108:107441, 2021. (IF: 8.3, JCR I) [Paper] [Code]
  10. C. Wang*, J. Zhao, L. Jiao, et al. Learning Evolution via Optimization Knowledge Adaptation. arXiv preprint, 2025. [Paper]
  11. C. Wang*, J. Zhao, L. Li, et al. Pareto Automatic Multi-Task Learning on Graphs. 2023 (preprint).

Corresponding-author Papers (†)

  1. T. Ma, C. Wang†, K. Wu, et al. Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection. Neurocomputing, 2025 (accepted). (IF: 6.5, JCR I) [Paper] [Code]
  2. 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, CAAI A) [Paper] [Code]

Collaborative Papers

  1. J. Zhao, L. Jiao*, C. Wang, et al. S3Diffuser: Frequency selected state space guided diffusion model for multimodal fusion classification. Information Fusion, 2025. (IF: 15.5, JCR I, CAAI A)
  2. L. Jiao*, J. Zhao, C. Wang, et al. Nature-inspired Intelligent Computing: A Comprehensive Survey. Research (Science Partner Journal), 2024. (IF: 8.5, JCR I) [Paper]
  3. 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), 2024. (IF: 8.4, JCR I, CAAI B) [Paper]
  4. 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, CAAI A) [Paper]
  5. H. Zhao*, X. Ning, X. Liu, C. Wang, J. Liu. What Makes Evolutionary Multi-task Optimization Better. Applied Soft Computing, 145:110545, 2023. (IF: 8.26, JCR I) [Paper]
  6. 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, CAAI A) [Paper] [Code]
  7. 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]
  8. K. Wu, J. Liu*, C. Wang, Yuan. Pareto Optimization for Influence Maximization in Social Networks. Evolutionary Multi-Criterion Optimization (EMO), 2021. [Paper] [Code]

🧩 Selected Projects

Topic Description Links
Evolutionary Transfer Optimization Adaptive knowledge transfer, multitasking network reconstruction. MTEA-AD / EM2MNR
Meta Black-box Optimization Adaptive meta black-box optimization. ABOM / OKAEM / BLMOL
LLM-assisted Evolutionary Computation LLMs as evolutionary operators and heuristic designers. Survey / Repo
Automated Machine Learning Evolutionary graph NAS, topology-aware transformers. KEGNAS / EGTAS

🔗 Quick Links

Journals IEEE CIS • IEEE CIM • IEEE TEVC • IEEE TNNLS • IEEE TCYB • IEEE TSMC • IEEE TPAMI • IEEE TKDE • JMLR • AIJ • ECJ • ACM TELO • SWEVO • ARTL • SCIS • NMI • NC • PNAS

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