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. I have conducted research on LLM efficiency, deep learning-based medical image analysis and now I am working on improving model reasoning abilities on medical diagnosis and math solving.

Previously: 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

Apr 01, 2025 Our paper MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs is online! We use Knowledge Graph（KG）as structured knowledge source to provide fact guidence on medical reasoning data generation.
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.

selected publications

  1. Medical Reason
    MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
    Juncheng Wu* , Wenlong Deng*, Xingxuan Li , and 12 more authors
    2025
    * Equal Contribution
    arXiv
  2. Fairness
    LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
    Wenlong Deng, Blair Chen , Xiaoxiao Li , and 1 more author
    under review, 2024
    arXiv
  3. 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
  4. 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
  5. cvpr_unlock.jpg
    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
  6. Medical
    LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening
    Beidi Zhao , Wenlong Deng, Zi Han , and 5 more authors
    Medical Image Analysis , 2024
    arXiv
  7. Medical
    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