Xiuling Wang

xiulingwang@hkbu.edu.hk

I am currently working as a postdoc at Hong Kong Baptist University (HKBU), under the guidance of Professor Jianliang Xu. I am currently focusing on trustworthy machine learning in AI systems, particularly in areas of privacy, algorithmic fairness, and robustness analysis in diffusion generative models, graph learning models, federated learning, and large language models.

Prior to my postdoc journey, I earned my doctoral degree in computer science at Stevens Institute of Technology, NJ, US in 2024 under the guidance of Professor Wendy Hui Wang. I earned my Master's degree in computer science at Peking University in 2018, and my bachelor's degree in computer science from North China Electric University in 2015.

NEWS!

I have joined the DB lab at HKBU as a postdoc!

I passed my thesis defense "Trustworthy Graph Learning" on May 8th, 2024! Thanks to all committee members! It's indeed my big day!

Our paper “Subgraph Structure Membership Inference Attacks against Graph Neural Networks” got accepted in PETS 2024!

Publications:

Xiuling Wang, Wendy Hui Wang. Subgraph Structure Membership Inference Attacks against Graph Neural Networks. In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2024.

Xiuling Wang, Wendy Hui Wang. GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning. In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2024.

Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang. Interaction-level Membership Inference Attack against Recommender Systems with Long-Tailed Distribution. In Proceedings of Information and Knowledge Management (CIKM), 2024.

Ruikai Zhou, Kang Yang, Xiuling Wang, Wendy Hui Wang, Jun Xu. Revisiting Black-box Ownership Verification for Graph Neural Networks. In Proceedings of IEEE Symposium on Security and Privacy (S&P), 2024.

Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Chen, Yue Ning. Equipping Federated Graph Neural Networks with Structure-aware Group Fairness, In Proceedings of IEEE International Conference on Data Mining (ICDM), 2023.

Xiuling Wang, Wendy Hui Wang. Link Membership Inference Attacks against Network Representation Learning, In Proceedings of Annual Computer Security Applications Conference (ACSAC), 2023.

Da Zhong, Ruotong Yu, Kun Wu, Xiuling Wang, Jun Xu, Wendy Hui Wang. Disparate Privacy Leakage of Membership Inference Attacks against Graph Neural Networks, In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2023.

Xiuling Wang, Wendy Hui Wang. Group Property Inference Attacks Against Graph Neural Networks, In Proceedings of ACM Conference on Computer and Communications Security (CCS), 2022.

Xiuling Wang, Wendy Hui Wang. Providing Item-side Individual Fairness for Deep Recommender Systems. In Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022.

Yanying Li, Xiuling Wang, Yue Ning, Wendy Hui Wang. Towards Fair Link Prediction on Social Network Graphs. In Proceedings of International AAAI Conference on Web and Social Media (ICWSM), 2022.

Hong Liu, Xiuling Wang, Miao Sun, and Cheng Pang. Multi-Channel Linear Prediction Based on Binaural Coherence for Speech Dereverberation. In Proceedings of International Conference on INTERSPEECH, 2016.

Cheng Pang, Xiuling Wang, Jie Zhang, Hong Liu, Mandarin Accent Identification Based on GMM with Multi-Feature Fusion, Journal of Huazhong University of Science and Technology, 2015.

Academic Services:

Paper reviewer of TBD'25, TIFS'25, WWW'25, KDD'25&24, TNNLS'24, CIKM'24&23&22, IJCAI'21.