Cheng-Long Wang
Cheng-Long Wang
Ph.D, 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
Focus: trustworthy agentic systems (reliable, auditable, aligned). Previously: machine unlearning, LLM memorization, privacy, and security.
What's New
[Aug 2026] Recognized as Usenix Security'26 Notable Reviewer :)
[May 2026] Recognized as ICML'26 Gold Reviewer :)
[Apr 2026] One paper has been accepted by ACL'26. Congrats to Qi Li!
[Mar 2026] Graduated from KAUST. Now a Doctor :)
[Oct 2025] Selected as CSAW’25 Applied Research Competition MENA Finalist. Will be presenting our work on machine unlearning measurements in Abu Dhabi~ Thanks NYU AD!
[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 "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 be presenting 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).