Scholar
Chau Pham
Google Scholar ID: fu-qT-wAAAAJ
Boston University
Citations & Impact
Citations
328
H-index
7
i10-index
4
Publications
18
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications:
- - September 2025: A paper on a new self-supervised method for multi-channel imaging via enhanced cross-channel learning was accepted at NeurIPS 2025.
- - September 2024: A paper proposing a robust ViT to handle multi-channel imaging data with missing channels at test time was accepted at NeurIPS 2024.
- - January 2024: A paper on LLM communication via raw transformer output embeddings has been accepted at ICLR 2024.
- - Published 'ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning', which presents four key strategies to enhance feature learning across MCI channels.
Research Experience
- Worked as a research data scientist at Zalo R&D; Research assistant at Texas Tech University; Joined ByteDance’s Seed Foundation Code team as a Research Scientist Intern in summer 2024, working on Video Diffusion Models; Joined Amazon as an Applied Scientist Intern on the Geospatial team in summer 2025.
Education
- Ph.D. student at Boston University, advised by Prof. Bryan Plummer. Bachelor's degree in Computer Science (Honors Program) from HCMUT, Vietnam.
Background
- Research interests include Machine Learning, particularly on efficient deep learning, computer vision, the intersection of vision and language, and large language models.
Miscellany
- You can reach me at chaupham [at] bu [dot] edu.
