Publications

    2025

  • [C4] Wang, X., Wu, J., Yuan, Y., Li, M., Cai, D., & Jia, W. (2025). Demonstration Selection for In-Context Learning via Reinforcement Learning. In Forty-Second International Conference on Machine Learning (ICML). PMLR. (CCF A)
  • [J6] Wang, X., Tang, Z., Guo, J., Meng, T., Wang, C., Wang, T., & Jia, W. (2025). Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models. ACM Computing Surveys, 57(9), 1-39. (SCI I) [PDF] [Audio] [Blog]
  • [C3] Wu, J., Wang, X., & Jia, W. (2025). Enhancing text annotation through rationale-driven collaborative few-shot prompting. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. (CCF B) [PDF]

    • 2024

  • [J5] Wang, X., Wang, Y., Ma, Z., Wong, K. C., & Li, X. (2024). Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(5), 1366-1379. (CCF B) [PDF] [Code] [Blog]
  • [J4] Wang, X., Shangguan, H., Huang, F., Wu, S., & Jia, W. (2024). MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection. IEEE Transactions on Knowledge and Data Engineering, 36(08), 4020-4033. (CCF A) [PDF] [Supplementary] [Code] [Blog]
  • [J3] Wang, X., Wang, Y., Ma, Z., Wong, K. C., & Li, X. (2024). Evolving Pathway Activation from Cancer Gene Expression Data using Nature-inspired Ensemble Optimization. Expert Systems with Applications, 248, 123469. (SCI I) [PDF] [Code]

    • 2023

  • A year of fruitless harvest. :(

    • 2022

  • [C2] Wang, X., & Jia, W. (2022). A Feature Weighting Particle Swarm Optimization Method to Identify Biomarker Genes. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 830-834). IEEE. (CCF B) [PDF] [Code] [Video]
  • [C1] Gao, H., Bian, C., Wang, X., Li, X, & Wang, Y. (2022). Exploring Cancer Biomarker Genes from Gene Expression Data via Nature-inspired Multiobjective Optimization. In 2022 34th Chinese Control and Decision Conference (CCDC) (pp. 5000-5007). IEEE.
  • [J2] Bian, C., Wang, X., Su, Y., Wang, Y., Wong, K. C., & Li, X. (2022). scEFSC: Accurate Single-cell RNA-seq Data Analysis via Ensemble Consensus Clustering Based on Multiple Feature Selections. Computational and Structural Biotechnology Journal, 20, 2181-2197. (SCI II) [PDF] [Code]
  • [J1] Wang, X., Wang, Y., Wong, K. C., & Li, X. (2022). A self-adaptive weighted differential evolution approach for large-scale feature selection. Knowledge-Based Systems, 235, 107633. (SCI I) [PDF] [Code] [Poster]