About Me

I am a third-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 is primarily focused on enhancing the foundation models with emerging abilities and properties.

Research Interests

• Multi-Objective Alignment: Align language models for multiple objectives besides helpfulness.
• Efficient Fine-tuning: Efficiently expand the knowledge base of foundation models with emerging properties while preserving the generalizability.

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

• [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 !
• [08/2024] Our Safety Alignment paper is out on arxiv! Code and applications are coming soon!
• [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
• 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