Chau Pham

Image and Video Computing (IVC) group • Boston University

I’m a Ph.D. student at Boston University, advised by Prof. Bryan Plummer.

Research Interests:
My research focuses on Machine Learning, with a particular emphasis on efficient deep learning, computer vision, the intersection of vision and language, and large language models.

I earned my bachelor’s degree in Computer Science (Honors Program) from HCMUT, Vietnam. After graduation, I worked as a research data scientist at Zalo R&D and then research assistant at Texas Tech University.

You can reach me at chaupham [at] bu [dot] edu.


Oct 2023 Our paper on growing neural networks was accepted at WACV 2024.
Sep 2023 Our paper introducing a new research topic on channel-adaptive imaging models was accepted at NeurIPS 2023.
Sep 2023 Our paper on Deep Distance Sensitivity Oracles was accepted at Complex Networks 2023.
May 2023 I join TikTok Applied Machine Learning team as a Research Scientist Intern.
Sep 2021 I start my first semester at Boston University!

selected publications

* denotes equal contribution

  1. preprint
    Let Models Speak Ciphers: Multiagent Debate through Embeddings
    Chau Pham*, Boyi Liu*, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, and Hongxia Yang
  2. WACV
    MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
    Chau Pham*, Piotr Teterwak*, Soren Nelson*, and Bryan A. Plummer
    In IEEE Winter Conference on Applications of Computer Vision (WACV) 2024
  3. NeurIPS
    CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
    Zitong Chen*, Chau Pham*, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, and Juan C. Caicedo
    In Advances in Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks 2023
  4. IEEE Bigdata
    Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph
    Chau Pham, Vung Pham, and Tommy Dang
    In 2020 IEEE International Conference on Big Data (Big Data) 2020
  5. IEEE Bigdata
    Road Damage Detection and Classification with Detectron2 and Faster R-CNN
    Vung Pham, Chau Pham, and Tommy Dang
    In 2020 IEEE International Conference on Big Data (Big Data) 2020