Prof. Philip S. Yu

Computer Science Department

University of Illinoisat Chicago, USA

Email: [email protected]

Qualifications

1978 Ph.D., New York University, USA

1976 M.Sc., Stanford University, USA

1972 B.Sc., National Taiwan University, Taiwan (China)

Publications (Selected)

1. Feng, Q. H., Duan, C. H., Xue, J. W., et al. (2026). Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks. IEEE Transactions on Mobile Computing, 25(1), 483–499.
2. Wu, Y., Wan, Y., Chu, Z. Y., et al. (2025). Can Large Language Models Serve as Evaluators for Code Summarization? IEEE Transactions on Software Engineering, 51(12), 3205–3217.
3. Zhang, H. P., Yu, P. S., & Zhang, J. W. (2025). A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. ACM Computing Surveys, 57(11), Article 277.
4. Zhang, J. S., Liu, Y. X., Shao, M. W., et al. (2025). Dual-level semantic collaboration and inference network for medical image report generation. Knowledge-Based Systems, 328, Article 114278.
5. Wang, H. S., Gao, Y., Zheng, X., et al. (2025). Graph neural architecture search with large language models. Science China Information Sciences, 68(12), Article 222103.
6. Liang, S., Chen, L. L., Gan, W. S., et al. (2026). Targeted Mining of Time-Interval Related Patterns. IEEE Transactions on Neural Networks and Learning Systems, 37(2), 937–950.
7. Huang, L., Li, Z. Y., Huang, X. D., et al. (2026). Autoencoder-based contrastive learning for next basket recommendation. Neural Networks, 194, Article 108166.
8. Xu, L. X., Ding, X. W., Yuan, X., et al. (2026). Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing. IEEE Transactions on Cybernetics, 56(1), 235–248.
9. Huang, Y. T., Shang, Y. M., Huang, W., et al. (2026). Discovering new intents via spatio-temporal pseudo-label denoising. Information Processing & Management, 63(2), Article 104381.
10. Zhao, S. W., Yu, B., Zhang, S. N., et al. (2025). EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. IEEE Transactions on Knowledge and Data Engineering, 37(10), 5852–5865.
11. Xu, M. Y., Hou, F., Liu, J., et al. (2026). Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey. Information Fusion, 127, Article 103767.
12. Gan, W. S., Ning, Z. Y., Qi, Z. L., et al. (2026). Mixture of experts (MoE): A big data perspective. Information Fusion, 127, Article 103664.
13. Gong, J. B., Peng, J. Q., Wang, W., et al. (2026). Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism. Information Fusion, 127, Article 103733.
14. Huang, X. D., Huang, L., Gao, Y. F., et al. (2025). Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation. IEEE Transactions on Computational Social Systems, 12(6), 3923–3937.
15. Liu, Q. T., Peng, H., Huang, X., et al. (2025). Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Transactions on Knowledge and Data Engineering, 37(9), 5283–5297.
16. Miao, H., Xu, R. H., Zhao, Y., et al. (2025). A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation. IEEE Transactions on Mobile Computing, 24(9), 8872–8885.
17. Zhang, Z. Y., Li, L., Ji, X. Y., et al. (2026). Enhancing signed graph neural networks through curriculum-based training. Neural Networks, 193, Article 107975.
18. Zhang, Chunkai, Lu, Y., Yang, Y. T., et al. (2025). Mining high utility contrast patterns in sequences. Knowledge and Information Systems, 67(11), 9947–9985.
19. Cheng, Z. T., Liu, Y., Zhong, T., et al. (2025). Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. IEEE Transactions on Knowledge and Data Engineering, 37(8), 4548–4563.
20. Yu, X. Y., Ren, J. Q., Jiang, L., et al. (2025). PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. Neural Networks, 191, Article 107772.

Profile Details

https://cs.uic.edu/profiles/philip-yu/
https://scholar.google.com/citations?user=D0lL1r0AAAAJ&hl=en
https://www.researchgate.net/profile/Philip-Yu-3

WOS ResearcherID: A-2815-2012