ZHU Yulin

Profile of ZHU Yulin

Assistant Professor
Department of Computer Science

Professional Experience

  • 07/2024 – Present, Assistant Professor, Hong Kong Chu Hai College (HKCHC), Tuen Mun, HKSAR.
  • 10/2020 – 07/2024, Postdoctoral Fellow and Research Fellow, Hong Kong Polytechnic University (PolyU), Hung Hom, HKSAR
  • 09/2016 – 10/2020, Teaching Assistant, The Chinese University of Hong Kong (CUHK), Sha Tin, HKSAR.
  • 01/2020 – 08/2020, Part-time Research Intern, TCL Moka International Limited, Sha Tin, HKSAR.

Academic qualifications

2020 Ph.D. of Statistics, Department of Statistics and Data Science, The Chinese University of Hong Kong
2016 B.S. of Mathematics and Finance, Economics and Management School, Wuhan University

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

 

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

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

Selected Publications (More in Google Scholar)

  • Journal articles
    1. Michał T. Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak. (2024). Adversarial Analysis of Similarity-Based Sign Prediction. Artificial Intelligence, Elsevier, volume 335, DOI: https://doi.org/10.1016/j.artint.2024.104173
    2. Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou. (2024). From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. IEEE Trans. on Neural Networks and Learning Systems, DOI: 1109/TNNLS.2024.3400395
    3. Yulin Zhu, Tomasz Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou. (2024). Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. IEEE Trans. on Information Forensics and Security, volume 19, DOI: 1109/TIFS.2024.3364366
    4. Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou. (2023). Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection. IEEE Trans. on Information Forensics and Security, volume 19, DOI: https://doi.org/10.1109/TIFS.2023.3327876
    5. Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou. (2023). FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. IEEE Trans. on Knowledge and Data Engineering, volume 36, DOI: 1109/TKDE.2023.3322129.
    6. Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P Michalak, Talal Rahwan, Kai Zhou. (2024). Coupled-Space Attacks Against Random-Walk-based Anomaly Detection. IEEE Trans. on Information Forensics and Security, volume 19, DOI: 1109/TIFS.2024.3468156.
    7. Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou. (2024). 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.
    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
  • 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: 1109/SP54263.2024.00241
    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: 1109/ICASSP48485.2024.10446170.
    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: 1109/ICASSP48485.2024.10447587
    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. IEEE International Conference on Data Engineering, Utrecht, Netherlands. DOI: 1109/ICDE60146.2024.00098
    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. IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia. DOI: 1109/ICDE53745.2022.00006
    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
    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: 1109/ICDM51629.2021.00173
    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.
    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 2025, Nanjing, China).
    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 12th-14th) ANN and Adaptive PSO Approach for PV Panel Parameter Estimation. 8th International Conference on Information Communication and Signal Processing (ICICSP 2025, Xi’an, China).
  • 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