1. Preprint: Learning Evolution via Optimization Knowledge Adaptation, 2025, Submit to a Journal (Under Second Review).
2. Preprint: Pareto Automatic Multi-Task Learning on Graphs, 2023, Submit to IEEE (Under Second Review).
3. Published Paper: Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection, Neurocomputing, accepted, 2025.
4. Published Paper: S3Diffuser: Frequency selected state space guided diffusion model for multimodal fusion classification, Information Fusion, accepted, 2025.
5. Published Paper: When large language models meet evolutionary algorithms: Potential enhancements and challenges, Research, accepted, 2025.
7. Published Paper: Automatic Graph Topology-Aware Transformer, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2024.
8. Published Paper: Nature-inspired Intelligent Computing: A Comprehensive Survey, Research, accepted, 2024.
9. Published Paper: Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification, IEEE Transactions on Circuits and Systems for Video Technology, accepted, 2024.
10. Published Paper: GeoFormer: A Geometric Representation Transformer for Change Detection, IEEE Transactions on Geoscience and Remote Sensing, 2023.
11. Published Paper: What Makes Evolutionary Multi-task Optimization Better: A Comprehensive Survey, Applied Soft Computing, 2023.
12. Published Paper: Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search, IEEE Transactions on Evolutionary Computation, 2024.
13. Published Paper: A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks, IEEE Computational Intelligence Magazine, 2023.
15. Published Paper: Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection, IEEE Transactions on Evolutionary Computation, 2022.
Research Experience
Work Experience: Postdoc, Associate Researcher at the School of Artificial Intelligence, Xidian University.
Education
Supervisors: Licheng Jiao, Jing Liu, Kai Wu. Specific degree information not provided.
Background
Research Interests: Knowledge-Driven Meta Evolutionary Computation, Learning Evolution, and Complex Networks (Graphs). Position: Postdoc, Associate Researcher. Affiliation: School of Artificial Intelligence, Xidian University, China.
Miscellany
Personal profile links: [Google Scholar][Researchgate Profile][CSDN Profile][Github Profile][Aminer][Chinese Profile]