Cheng-Long Wang
Cheng-Long Wang
Ph.D. candidate in Provable Responsible AI and Data Analytics (PRADA) Lab
Division of Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE)
King Abdullah University of Science and Technology (KAUST)
Email: X.Y@Z where X = chenglong, Y = wang and Z = kaust.edu.sa
Github: https://github.com/Happy2Git
Google Scholar: https://scholar.google.com/citations?user=24UBrN4AAAAJ
About Me
I am a final-year Ph.D. student in Computer Science at KAUST, advised by Prof. Di Wang. My research focuses on machine unlearning, data/LLM memorization, and related privacy, copyright, and security challenges.
What's New
[Aug 2025] I will visit the National University of Singapore during Fall 2025. Thanks to Professor. Xiaokui Xiao!
[Aug 2025] I am invited to join the USENIX Security ’26 Program Committee.
[Jul 2025] Received the USENIX Security '25 Student Grant.
[Jun 2025] Our paper "Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness" has been accepted by USENIX Security Symposium 2025. (preprint, code).
[May 2025] I am invited as a reviewer of IEEE TDSC.
[Apr 2025] I am invited as a reviewer of IEEE TASL.
[Jun 2024] I will visit the Johns Hopkins University during Fall 2024. Switched to a remote internship. Thanks to Professor. Yinzhi Cao!
[May 2024] Received EPFL - SURI Fellowship. Will present our work on machine unlearning measurements in Lausanne~ Thanks EPFL!
[May 2024] I am invited as a reviewer of IEEE TIFS.
[Dec 2023] Our paper "Communication Efficient and Provable Federated Unlearning" has been accepted at the 50th International Conference on Very Large Databases (VLDB 2024).
[Sep 2023] Awarded the CEMSE Dean's List Award, KAUST, 2023.
[Jul 2023] Received the USENIX Security '23 Student Grant.
[Apr 2023] Our paper "High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization" has been accepted at IEEE Transactions on Information Theory (TIT).
[Apr 2023] Our paper "Inductive Graph Unlearning" has been accepted at the 32nd USENIX Security Symposium (USENIX 2023).
[Dec 2022] I am invited as a reviewer of IEEE TNNLS.
[Jul 2022] Newly affiliated as a PhD Student with the SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence (SDAIA-KAUST AI).