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).