ZHU Yulin

Profile of ZHU Yulin

Department of Computer Science, Assistant Professor


Professional Experience

  • 07/2024 – Present, Assistant Professor, Hong Kong Chu Hai College (HKCHC), Tuen Mun, HKSAR.
  • 07/2022 – 07/2024, Postdoctoral Fellow, Hong Kong Polytechnic University (PolyU), Hung Hom, HKSAR.
  • 10/2020 – 06/2022, Research Assistant, 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.

Education

09/2016 – 12/2020
Ph.D.
The Chinese University of Hong Kong

09/2012 – 06/2016
B.S.
Wuhan University


Selected Publications (More in Google Scholar)

  • [AIJ] Adversarial Analysis of Similarity-Based Sign Prediction
    Michał T. Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz P. Michalak
    Artificial Intelligence, Elsevier, 2024, (CCF-A, Core-A*, IF=14.05)
  • [TNNLS] From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection (Code)
    Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou
    IEEE Transactions on Neural Networks and Learning Systems, 2024, (CCF-B, Core-A*, IF=14.255)
  • [IEEE S&P] Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
    Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
    IEEE Symposium on Security and Privacy, 2024, (CCF-A, Core-A*)
  • [TIFS] Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks (Code)
    Yulin Zhu, Tomasz Michalak, Xiapu Luo, Xiaoge Zhang, Kai Zhou
    IEEE Transactions on Information Forensics and Security, January 2024, (CCF-A, Core-A, IF=7.178)
  • [ICASSP] Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks
    Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
    2024 IEEE International Conference on Acoustics, Speech and Signal Processing, April 2024, (CCF-B, Core-B)
  • [ICASSP] Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network
    Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
    2024 IEEE International Conference on Acoustics, Speech and Signal Processing, April 2024, (CCF-B, Core-B)
  • [ICDE] Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
    Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P Michalak, Xiapu Luo, Kai Zhou
    40th International Conference on Data Engineering, May 2024, (CCF-A, Core-A*)
  • [TIFS] Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection
    Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou
    IEEE Transactions on Information Forensics and Security, October 2023, (CCF-A, Core-A, IF=7.178)
  • [TKDE] FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification (Code)
    Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou
    IEEE Transactions on Knowledge and Data Engineering, October 2023, (CCF-A, Core-A*, IF=8.9)
  • [ICDE] BinarizedAttack: Structural Poisoning Attacks to Graph-Based Anomaly Detection (Code)
    Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, and Kai Zhou
    38th International Conference on Data Engineering, May 2022, (CCF-A, Core-A*)
  • [CCS] Structural Attack Against Graph Based Android Malware Detection
    Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo
    Proceedings of ACM Conference on Computer and Communications Security, November 2021, (CCF-A, Core-A*)
  • [ICDM] Attacking Similarity-Based Sign Prediction
    MT Godziszewski, TP Michalak, M Waniek, T Rahwan, Kai Zhou, Yulin Zhu
    21st IEEE International Conference on Data Mining, December 2021, (CCF-B, Core-A*)

Recent Preprints/Under Review

  • Simple yet Effective Gradient-Free Graph Convolutional Networks
    Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
    Arxiv 2302.00371, 2023. (Arxiv)
  • Homophily-Driven Sanitation View for Robust Graph Contrastive Learning
    Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
    Arxiv 2307.12555, 2023. (Arxiv)
  • Coupled-Space Attacks against Random-Walk-based Anomaly Detection
    Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
    Arxiv 2307.14387, 2023. (Arxiv)
  • Unleashing the Power of Indirect Attacks against Trust Prediction via Preferential Path
    Yu Bu, Yulin Zhu, Longling Geng, Kai Zhou
  • Universally Robust Graph Neural Networks by Preserving Neighbor Similarity
    Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou
    Arxiv 2401.09754, 2024. (Arxiv)
  • SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
    Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
    Arxiv 2408.16537, 2024. (Arxiv)