About Me

Hello! I am Xianlong Wang, a first-year Ph.D. student in the Department of Computer Science at City University of Hong Kong, where I am a member of Centre for Decentralized Trust Computing (CDTC), supervised by Prof. Xiaohua Jia (ACM Fellow, IEEE Fellow). Prior to that, I earned a B.E. degree from Huazhong University of Science and Technology in June 2022, and obtained an M.E. degree from Huazhong University of Science and Technology in June 2025. During my master's studies, I was a member of the Cluster and Grid Computing Lab (CGCL), led by Professor Hai Jin (ACM Fellow, IEEE Fellow), and mentored by Professor Shengshan Hu and Professor Leo Yu Zhang. My research interests focus on AI Security/Safety. I am always open to research communication and collaboration, so please don't hesitate to contact me if you are interested. Email address: xianlong.wang at my.cityu.edu.hk

Education

City University of Hong Kong, Hong Kong SAR

Ph.D. in Computer Science

Centre for Decentralized Trust Computing (CDTC)

Supervised by Prof. Xiaohua Jia (ACM Fellow, IEEE Fellow)

2025 - 2029 (expected)

Huazhong University of Science and Technology, Wuhan, China

M.S. in Cyber Science and Engineering

Cluster and Grid Computing Lab (CGCL)

Led by Prof. Hai Jin (ACM Fellow, IEEE Fellow)

2022 - 2025

Huazhong University of Science and Technology, Wuhan, China

B.S. in Information Security

2018 - 2022

Selected Publications (See Google Scholar for the full list)

  1. Dual-branch Robust Unlearnable Examples
    Xianlong Wang, Hangtao Zhang, Wenbo Pan, Ziqi Zhou, Changsong Jiang, Li Zeng, Xiaohua Jia
    ICML 2026 (Acceptance rate: 26.6%)

    Detecting and Corrupting Convolution-based Unlearnable Examples
    Minghui Li*, Xianlong Wang*✉, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang
    AAAI 2025 (Acceptance rate: 23.4%)

    Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
    Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
    NeurIPS 2024 (Acceptance rate: 25.8%)

    ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification
    Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
    ESORICS 2024 (Acceptance rate: 86/535 = 16%)

Professional Services

Conference Reviewer: ICML, NeurIPS, ICLR, AAAI, ACM MM, IJCAI, ICASSP.

Journal Reviewer: IEEE Transactions on Dependable and Secure Computing (TDSC), Transactions on Machine Learning Research (TMLR).

Awards

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Gold Reviewer Award, ICML 2026
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National Scholarship (2024) (Top 0.2%)
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Merit Student, Huazhong University of Sci. and Tech. (2024)
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Artificial Intelligence Security Competition (2022) (Excellence Award)
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National College Student Information Security Competition (2021) (Third Prize)
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Mathematical Contest In Modeling (2021) (Honorable Mention)