News
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- Sep 2023: I started a new journey at Yale University
- Jan 2023: One paper is accepted at AISTATS’23 and one paper is accepted at ICLR’23.
Biography
Ngoc Bui is currently a first-year CS Ph.D. student at Yale University, where he is very fortunate to be advised by Prof. Rex Ying. Before joining Yale, he was a research resident at VinAI Research, where he had two wonderful years working under the supervision of Prof. Viet Anh Nguyen. Prior to that, he received a bachelor degree in Computer Science and master degree in Data Science from Hanoi University of Science and Technology.
His research interests are machine learning and deep learning with a focus on their responsible use in real-world systems where humans and high measurement uncertainties exist in the loop. Recently, He has been focusing on multimodal large language models and graph representation learning.
Publications
Preprints
- Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying. “Explaining Graph Neural Networks via Structure-aware Interaction Index”, under review.
- Ngoc Bui, Duy Nguyen, Man-Chung Yue, and Viet Anh Nguyen. “Coverage-Validity-Aware Algorithmic Recourse”, under review. [paper]
Conferences
- Duy Nguyen, Ngoc Bui, and Viet Anh Nguyen. “Feasible Recourse Plan via Diverse Interpolation”, ICLR, 2023. [paper]
- Duy Nguyen, Ngoc Bui, and Viet Anh Nguyen. “Distributionally Robust Recourse Action”, AISTATS, 2023. [paper]
- Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan Thuan Do. “A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks”, IEEE MASS, 2022. [paper] [code]
- Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen. “Robust Bayesian Recourse”, UAI, 2022. [paper]
- Ngoc Bui, Duy Nguyen, Viet Anh Nguyen. “Counterfactual plans under Distributional Ambiguity”, ICLR, 2022. [paper] [code]
- Ngoc Bui, and Viet-Trung Tran. “A Novel Conditional Random Fields Aided Fuzzy Matching in Vietnamese Address Standardization.” SoICT, 2019. [paper] [code]
Journal
- Ngoc Bui, Tam Nguyen, Binh Huynh Thi Thanh, and Trong Vinh Le. “A phenotype-based multiobjective evolutionary algorithm for maximizing lifetime in wireless sensor networks with bounded hop”, Soft Computing, 2023. [paper] [code]
Thesis
- Master’s thesis. “Evolutionary and Deep Reinforcement Learning Algorithms for Optimizing the Lifetime of Wireless Sensor Networks”. [paper] [slides]
Awards and honors
- Honorable Mention in INFORMS Undergraduate Operations Research Prize, 2022.
- Best Thesis Presentation Award, 2021.
- Problem Winner in ASEAN-India Hackathon, 2021.
- The Third Prize in Vietnam Olympiad in Informatics, 2016.
- Email: ngocbh.pt (at) gmail (dot) com
- Github: ngocbh
References
