Wenlong Deng

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Open to Collaboration and Internship

My name is Deng Wenlong (邓文龙), I am a Ph.D. student in the Electrical and Computer Engineering department at the University of British Columbia, co-supervised by Prof. Xiaoxiao Li and Prof. Christos Thrampoulidis. I am broadly interested in machine learning and its application in healthcare and recommendation systems.

Previously: From 2020-2022, I worked at TikTok as a machine learning engineer. I firstly focus on enhancing the video search engine. Later on, I transitioned to refining the advertisement recommendation system. I obtained my master’s degree in Electrical Engineering at EPFL in 2019, where I was fortunated been supervised by Prof. Alexandre Alahi on stereo vision. I received my bachelor’s degree in Electronic and Information Engineering (Honors) at UESTC in 2017.

news

Feb 07, 2025 Our work DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models is selected as Spotlight at ICLR, you can drop more than 99% of your delta parameters without hurt finetuned model performance! Code will be released soon.
Jan 20, 2025 Three papers accepted at ICLR 2025 (3 out of 3)! Grateful to my collaborators for their support.
Oct 30, 2024 I had the honor of being nominated as a top reviewer at NeurIPS 2024.
Jun 28, 2024 Our paper Universal Debiased Editing on Foundation Models for Fair Medical Image Classification was accepted to MICCAI 2024!

selected publications

  1. ICLR
    DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
    Wenlong Deng, Yize Zhao , Vala Vakilian , and 3 more authors
    International Conference on Learning Representations (spotlight 5%), 2025
    arXiv
  2. ICLR
    GMValuator: Similarity-based Data Valuation for Generative Models
    Jiaxi Yang* , Wenlong Deng*, Benlin Liu , and 2 more authors
    International Conference on Learning Representations, 2025
    * Equal Contribution
    arXiv
  3. Fairness
    LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
    Wenlong Deng, Blair Chen , Xiaoxiao Li , and 1 more author
    under review, 2024
    arXiv
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    Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
    Wenlong Deng, Christos Thrampoulidis , and Xiaoxiao Li
    The IEEE Conference on Computer Vision and Pattern Recognition, 2024
    arXiv
  5. Fairness
    On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
    Wenlong Deng, Yuan Zhong , Qi Dou , and 1 more author
    In Information Processing in Medical Imaging (Accept rate 25%) , 2023
    arXiv
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    Joint Human Pose Estimation and Stereo 3D Localization
    Wenlong Deng, Lorenzo Bertoni , Sven Kreiss , and 1 more author
    In 2020 IEEE International Conference on Robotics and Automation , 2020