ZHU Yulin

Profile of Dr. ZHU Yulin

Assistant Professor
Department of Computer Science

Academic qualifications

2020 Ph.D. of Statistics, Department of Statistics and Data Science, The Chinese University of Hong Kong (CUHK), HKSAR
2016 B.S. of Mathematics & Finance, Economics and Management School, Wuhan University (WHU), Hubei, China

 

Present academic and professional position(s) (with date(s))

07/2024 -Present Assistant Professor, Department of Computer Science, Faculty of Science and Engineering, Hong Kong Chu Hai College (HKCHC), HKSAR

 

Previous academic and professional positions held (with date(s), in reverse chronological order)

07/2022-07/2024 Postdoctoral Fellow, Department of Computing, The Hong Kong Polytechnic University (PolyU), HKSAR
10/2020-06/2022 Research Assistant, Department of Computing, The Hong Kong Polytechnic University (PolyU), HKSAR
09/2016-10/2020 Teaching Assistant, Department of Statistics, The Chinese University of Hong Kong (CUHK), HKSAR

 

Research Interests:

  • AI Security,
  • Data Security and Privacy,
  • Adversarial Robustness,
  • Data Mining,
  • Trustworthy Foundation Models  

 

Research Grants

  • [UGC/IIDS13/E01/25] $184,100 (12 months). Seminar Series on Artificial Intelligence applications in Health Science and Dental Science, funded by the University Grants Committee (UGC) 2025/2026. (Co-I).
  • [UGC/FDS13/E06/25] $400,300 (18 months). Towards Graph-Based Learning System Under Diverse Graph Homophily: Method, Vulnerability and Robustness, funded by the University Grants Committee (UGC) 2025/2027. (PI).

Selected Publications (More in Google Scholar)

Journal articles

  1. Michał T. Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak. (Oct. 2024). Adversarial Analysis of Similarity-Based Sign Prediction. Artificial Intelligence, Elsevier, volume 335, DOI: https://doi.org/10.1016/j.artint.2024.104173. [AI]
  2. Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou. (May. 2024). From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2024.3400395. [TNNLS]
  3. Yulin Zhu, Tomasz Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou. (Feb. 2024). Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. IEEE Transactions on Information Forensics and Security, volume 19, DOI: 10.1109/TIFS.2024.3364366. [TIFS]
  4. Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou. (Oct. 2023). Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection. IEEE Transactions on Information Forensics and Security, volume 19, DOI: https://doi.org/10.1109/TIFS.2023.3327876. [TIFS]
  5. Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou. (Oct. 2023). FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. IEEE Transactions on Knowledge and Data Engineering, volume 36, DOI: 10.1109/TKDE.2023.3322129. [TKDE]
  6. Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P Michalak, Talal Rahwan, Kai Zhou. (Sep. 2024). Coupled-Space Attacks Against Random-Walk-based Anomaly Detection. IEEE Transactions on Information Forensics and Security, volume 19, DOI: 10.1109/TIFS.2024.3468156. [TIFS]
  7. Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou. (Feb. 2025). Unleashing the Power of Indirect Attacks Against Trust Prediction via Preferential Path. Knowledge and Information Systems, https://doi.org/10.1007/s10115-024-02327-9. [KAIS]
  8. Haiyu He, Youhai Peng, Yulin Zhu*, Wai-Lun Lo. (May. 2025). Research on the Application of Machine Learning Algorithms for Steel Defect Classification in the Perspective of Smart Infrastructure. Artificial Intelligence and Robotics Research.
  9. Haiyu He, Duoqi Wu, Yihua Du, Wai-Lun Lo, TSANG Sik Ho, Yulin Zhu*. (Apr. 2025). Research on PCB Defect Detection Based on Yolov5 Model. Intelligent Perception Engineering.
  10. Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou. Robust Graph Contrastive Learning with Information Restoration. (2025). IEEE Transactions on Information Forensics and Security. [TIFS] DOI:10.1109/TIFS.2025.3602243
  11. Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu, Wai-Lun Lo. From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting. (Oct. 2025). MDPI Forecasting. DOI: https://doi.org/10.3390/forecast7040055.
  12. Xing Ai, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou. Revisiting Adversarial Robustness of GNNs Against Structural Attacks: A Simple and Fast Approach. (Dec. 2025). IEEE Transactions on Information Forensics and Security. [TIFS] DOI:10.1109/TIFS.2025.3641816.
  13. Wai Lun Lo, Henry Shu Hung Chung, Richard Tai Chiu Hsung, Hong Fu, Yulin Zhu, Tak Wai Shen, Harris Sik Ho Tsang. (2025, September 24th). Optimal Parameter Estimation for Solar PV Panel Based on ANN and Adaptive Particle Swarm Optimization. MDPI Algorithms. DOI: 10.3390/a18100598.
  14. Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai-Chiu Hsung, Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu*. (2025, December 23th). Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting. IET Communications.
  15. Wai Lun Lo, Kwok Wai Wong, Richard Tai Chiu Hsung, Henry Shu Hung
    Chung, Hong Fu, Harris Sik Ho Tsang, Yulin Zhu. (2026, March 11st). A Range-aware Attention Framework for Meteorological Visibility Estimation. Sensors. [Accepted]

Conference papers

  1. Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou. (2024, May 20th-23th). Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks, IEEE Symposium on Security and Privacy San Francisco, CA, USA. DOI: 10.1109/SP54263.2024.00241. [S&P]
  2. Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou.(2024, April 14th-19th). Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea. DOI: 10.1109/ICASSP48485.2024.10446170. [ICASSP]
  3. Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou. (2024, April 14th-19th). Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea. DOI: 10.1109/ICASSP48485.2024.10447587 [ICASSP]
  4. Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P Michalak, Xiapu Luo, Kai Zhou. (2024, May 13th-17th). Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. International Conference on Data Engineering, Utrecht, Netherlands. DOI: 10.1109/ICDE60146.2024.00098. [ICDE]
  5. Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou. (2022, May 9th-12th). BinarizedAttack: Structural Poisoning Attacks to Graph-Based Anomaly Detection. International Conference on Data Engineering, Kuala Lumpur, Malaysia. DOI: 10.1109/ICDE53745.2022.00006. [ICDE]
  6. Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo. (2021, November 15th-19th). Structural Attack Against Graph Based Android Malware Detection. Proceedings of ACM Conference on Computer and Communications Security, Seoul, Korea. DOI: https://doi.org/10.1145/3460120.3485387. [CCS]
  7. MT Godziszewski, TP Michalak, M Waniek, T Rahwan, Kai Zhou, Yulin Zhu. (2021, December 7th-10th). Attacking Similarity-Based Sign Prediction. IEEE International Conference on Data Mining, Auckland, New Zealand. DOI: 10.1109/ICDM51629.2021.00173. [ICDM]
  8. Yu Bu, Yulin Zhu, Kai Zhou. (2025, April 6th-11th). Crowdsourced Homophily Ties Based Graph Annotation via Large Language Model. IEEE International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India. [ICASSP]
  9. Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou. (2025, June 30th-July 5th ). Simple yet Effective Gradient-Free Graph Convolutional Networks. International Joint Conference on Neural Networks, Rome, Italy. [IJCNN]
  10. Yu Bu, Yulin Zhu, Yuni Lai. (2025, October 5th-8th). A Distributed Adaptive System with Strong Tie Graphs for Trust-Aware Reasoning in Adversarial Graphs. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria. [SMC]
  11. Lisha Zhou, Richard Tai-Chiu Hsung, Harris Sik-Ho Tsang, Yulin Zhu, Wai-Lun Lo. (2025, October 31th-November 2nd). A Robust Drone based Parking Space Detection System Based on Deep Learning Algorithms. The 2025 International Conference on Machine Intelligence and Nature-InspireD Computing , Xiamen, China. [MIND]
  12. Wai Lun Lo, Henry Shu Hung Chung, Richard Tai Chiu Hsung, Hong Fu, Yulin Zhu, Tak Wai Shen. (2025, September 26th-28th). Study on ANN and Adaptive PSO Approach for PV Panel Parameter Estimation. The 18th International Conference on Advanced Computer Theory and Engineering [ICACTE].
  13. Jin-Yang Li, Richard Tai-Chiu Hsung, Tian-Yu Zhang, Harris Sik-Ho Tsang, Yulin Zhu, Wai-Lun Lo. (2025, September 12th-14th) On Supervised Fine-tuning of Large Language Model for IELTS Writing Assessment System. 8th International Conference on Information Communication and Signal Processing [ICICSP].
  14. Wai-Lun Lo, Kwok-Wai Wong, Richard Tai-Chiu Hsung, Henry Shu-Hung Chung, Hong Fu, Yulin Zhu, Harris Sik-Ho Tsang, Kuong-Hon Pong. (2025, December 12th). Meteorological Visibility Estimation Through Multi-Modal Feature Fusion with Convolutional and Frequency Domain Representations. the 11th International Conference on Computer and Communications, Chengdu, China. [ICCC]

Conference Presentations

  1. Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou. (2022, May 9th-12th). BinarizedAttack: Structural Poisoning Attacks to Graph-Based Anomaly Detection [Oral]. International Conference on Data Engineering: Graph data management 3, Location. DOI: 10.1109/ICDE53745.2022.00006
  2. Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou. (2025, June 30th-July 5th ). Simple yet Effective Gradient-Free Graph Convolutional Networks [Virtual Presentation]. International Joint Conference on Neural Networks, Rome, Italy.

ADMISSION