Ngoc-Quan Pham

AI Resident at Qualcomm AI Research | I am actively seeking for PhD opportunities.

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Ngoc-Quan Pham

quanpham (at) qti.qualcomm.com

Hanoi, Vietnam

About Me

I am a final-year student at Hanoi University of Science and Technology. I have gained valuable experience working as a Research Assistant at the BKAI Laboratory and as an AI Resident at VinAI Research (mentored by Prof. Trung Le), where I focused on topics including Bayesian Inference and Machine Learning Theory. Currently, I am an AI Research Resident at Qualcomm AI Research, my research will focus on model fine-tuning and test-time scaling for large language model.

You can connect with me on LinkedIn or Facebook, you can see more images about me at this website.

Research Interests

  • Natural Language Processing: Test-time scaling for Large Language Model, Model Quantization
  • Machine Learning: Bayesian Neural Network, Bayesian Inference, Model Finetuning

news

May 02, 2025 I have two papers accepted at ICML 2025. Join me in Vancouver this July!
Apr 01, 2025 I have officially joined Qualcomm AI Research as an AI Resident.
Dec 05, 2024 I’ve achieved an IELTS Academic Band Score of 7.0.

latest posts

selected publications

  1. Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
    Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, and Trung Le
    In Forty-second International Conference on Machine Learning, 2025
  2. Improving Generalization with Flat Hilbert Bayesian Inference
    Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Dinh Phung, Nhat Ho, and Trung Le
    2025
  3. A Robust Pitch-Fusion Model for Speech Emotion Recognition in Tonal Languages
    Pham Viet Thanh, Ngo Thi Thu Huyen, Pham Ngoc Quan, and Nguyen Thi Thu Trang
    In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024