About Me

I am a forth-year Ph.D. candidate at KAUST in Saudi Arabia. I am part of Vision-CAIR group led by Pr. Mohamed Elhoseiny. I also closely collaborate with Dr. Adel Bibi from Oxford University. My research lies in enhancing the foundation models with emerging abilities and properties, including but not limited to:

• Adapting LLM/VLMs for long and complex tasks.
• Improving the safety of foundation models.
• Overcoming the forgetting during the model update.

Education

PhD Candidate in Computer Science, King Abdullah University of Science and Technology (KAUST)
MA in Applied Mathematics and Computational Science, 2021, University of Pennsylvania
BSc in Mathematics and Applied Mathematics, 2019, Beijing Normal University

News

• [03/2025] Our Safety Alignment paper is out on arxiv! Please find our code here
• [02/2025] Our papers, Safety Alignment(spotlight) and QKT, are accepted in ICLR '25! See you in Singapore!
• [10/2024] Started my internship with Samsung Research America.
• [06/2024] Our IWMS (Label Delay in CL) paper is accepted to NeurIPS '24! Code and applications are here !
• [06/2024] Our SPU paper is accepted to CVPR '24! Code and applications are here !
• [01/2024] One paper accepted to ICLR '24!
• [07/2023] Started my internship at Oxford.
• [07/2023] One paper accepted to ICCV '23!
• [04/2023] One paper accepted to ICML'23!
• [01/2022] Started my Ph.D at KAUST.
• [12/2021] Defended my master thesis, titled Factorized lifelong machine learning on non-stationary tasks: An algorithm and analysis.

Selected Publications [Google Scholar]

Services

Reviewers

• ICLR, NeurIPs, CVPR, ICCV, TPMAI, ICML
• CLAI Unconf, WECIA, ICCVCLVL

Teaching

• Teaching Assistant of CS 326, Low Resource Deep Learning, KAUST

Contact

Address: 4335 WS - 11, Building 1 - The Spine, KAUST 23955, Saudi Arabia
Email: wenxuan.zhang@kaust.edu.sa