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Yulin Zhu 0001
Person information
- affiliation: Hong Kong Chu Hai College, Department of Computer Science, Hong Kong
- affiliation: Hong Kong Polytechnic University, Hong Kong
- affiliation (PhD 2020): Chinese University of Hong Kong, Department of Statistics, Hong Kong
Other persons with the same name
- Yulin Zhu — disambiguation page
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2020 – today
- 2025
[j9]Wai Lun Lo
, Henry Shu-Hung Chung
, Richard Tai Chiu Hsung
, Hong Fu
, Tony Yulin Zhu
, Tak-Wai Shen
, Harris Sik-Ho Tsang
:
Optimal Parameter Estimation for Solar PV Panel Based on ANN and Adaptive Particle Swarm Optimization. Algorithms 18(10): 598 (2025)
[j8]Yu Bu, Yulin Zhu
, Longling Geng, Kai Zhou
:
Unleashing the power of indirect attacks against trust prediction via preferential path. Knowl. Inf. Syst. 67(5): 4459-4486 (2025)
[j7]Yulin Zhu
, Xing Ai
, Yevgeniy Vorobeychik
, Kai Zhou
:
Robust Graph Contrastive Learning With Information Restoration. IEEE Trans. Inf. Forensics Secur. 20: 9151-9163 (2025)
[j6]Yulin Zhu
, Yuni Lai
, Kaifa Zhao, Xiapu Luo
, Mingquan Yuan, Jun Wu, Jian Ren
, Kai Zhou:
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6174-6187 (2025)
[c8]Yu Bu, Yulin Zhu
, Kai Zhou
:
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model. ICASSP 2025: 1-5
[i16]Yu Bu, Yulin Zhu, Kai Zhou:
Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model. CoRR abs/2503.09281 (2025)
[i15]Yuni Lai, Yulin Zhu, Yixuan Sun, Yulun Wu, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou:
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks. CoRR abs/2503.22998 (2025)
[i14]Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu:
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting. CoRR abs/2508.00884 (2025)
[i13]Jianbin Zhang, Yulin Zhu, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Kai Zhou:
SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models. CoRR abs/2509.14269 (2025)- 2024
[j5]Michal Tomasz Godziszewski
, Marcin Waniek, Yulin Zhu, Kai Zhou
, Talal Rahwan, Tomasz P. Michalak:
Adversarial analysis of similarity-based sign prediction. Artif. Intell. 335: 104173 (2024)
[j4]Yuni Lai
, Yulin Zhu
, Wenqi Fan, Xiaoge Zhang
, Kai Zhou
:
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. IEEE Trans. Inf. Forensics Secur. 19: 907-919 (2024)
[j3]Yulin Zhu
, Tomasz P. Michalak
, Xiapu Luo
, Xiaoge Zhang
, Kai Zhou
:
Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. IEEE Trans. Inf. Forensics Secur. 19: 3567-3580 (2024)
[j2]Yuni Lai
, Marcin Waniek
, Liying Li
, Jingwen Wu
, Yulin Zhu
, Tomasz P. Michalak
, Talal Rahwan
, Kai Zhou
:
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 19: 9315-9329 (2024)
[j1]Yulin Zhu
, Liang Tong
, Gaolei Li
, Xiapu Luo
, Kai Zhou
:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2476-2489 (2024)
[c7]Yu Bu, Yulin Zhu
, Longling Geng, Kai Zhou
:
Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. ICASSP 2024: 4535-4539
[c6]Yuwei Han, Yuni Lai, Yulin Zhu
, Kai Zhou
:
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. ICASSP 2024: 4940-4944
[c5]Xing Ai, Jialong Zhou, Yulin Zhu
, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. ICDE 2024: 1213-1227
[c4]Yuni Lai, Yulin Zhu
, Bailin Pan, Kai Zhou
:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. SP 2024: 2958-2976
[i12]Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou:
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. CoRR abs/2401.09754 (2024)
[i11]Xing Ai, Guanyu Zhu, Yulin Zhu, Yu Zheng, Gaolei Li, Jianhua Li, Kai Zhou
:
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks. CoRR abs/2408.16537 (2024)- 2023
[i10]Yulin Zhu
, Xing Ai, Qimai Li
, Xiao-Ming Wu
, Kai Zhou
:
Simple yet Effective Gradient-Free Graph Convolutional Networks. CoRR abs/2302.00371 (2023)
[i9]Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
:
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. CoRR abs/2307.12555 (2023)
[i8]Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou
:
Dual-Space Attacks against Random-Walk-based Anomaly Detection. CoRR abs/2307.14387 (2023)
[i7]Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. CoRR abs/2308.01063 (2023)
[i6]Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou
:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. CoRR abs/2312.03979 (2023)
[i5]Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou
:
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, . CoRR abs/2312.07158 (2023)- 2022
[c3]Yulin Zhu
, Yuni Lai
, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. ICDE 2022: 14-26
[i4]Yulin Zhu
, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou:
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. CoRR abs/2206.08260 (2022)
[i3]Yulin Zhu
, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. CoRR abs/2206.13104 (2022)
[i2]Yulin Zhu, Liang Tong, Kai Zhou
:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. CoRR abs/2210.13815 (2022)- 2021
[c2]Kaifa Zhao, Hao Zhou, Yulin Zhu
, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan
, Xiapu Luo:
Structural Attack against Graph Based Android Malware Detection. CCS 2021: 3218-3235
[c1]Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek
, Talal Rahwan, Kai Zhou
, Yulin Zhu
:
Attacking Similarity-Based Sign Prediction. ICDM 2021: 1072-1077
[i1]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. CoRR abs/2106.09989 (2021)
Coauthor Index

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last updated on 2025-11-01 23:25 CET by the dblp team
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