Research
I’m mainly interested in developing robust and equitable AI/ML models for clinical decision-making and drug discovery. My work has been published in top-tier AI/ML venues, including Nature Machine Intelligence, NeurIPS, ICLR, AAAI, UAI, ICCV, KDD, ICDM and SDM. My research has been featured in Nature Machine Intelligence, Ohio State News, ReachMD, Technology Networks, DeepLearning.AI, etc.
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Selected Publications (*equal contributions)
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2025
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The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee, Yuanlong Wang, Sayoko E. Moroi, Xueru Zhang, Ping Zhang
NeurIPS 2025 (ICORE Rank A*)
code
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Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang
AAAI 2025 (ICORE Rank A*)
code
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Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines
Jiayuan Chen*, Thai-Hoang Pham*, Yuanlong Wang, Ping Zhang
ICCV 2025 (ICORE Rank A*)
code
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Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Seungyeon Lee*, Thai-Hoang Pham*, Zhao Cheng, Ping Zhang
ACM Transactions on Computing for Healthcare (Impact factor: 8.0)
code
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SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M Caterino, Ping Zhang
KDD 2025 (Applied Data Science Track) (ICORE Rank A*)
code
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2024
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Nonstationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
UAI 2024 (ICORE Rank A)
code
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2023
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Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
ICLR 2023 (ICORE Rank A*)
code
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A fair and interpretable network for clinical risk prediction: A regularized multi-view multi-task learning approach
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
Knowledge and Information Systems (Impact factor: 2.7)
code
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2022
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DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics
Seungyeon Lee*, Thai-Hoang Pham*, Ping Zhang
ICDM 2022 (ICORE Rank A*)
code
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FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery
Thai-Hoang Pham, Lei Xie, Ping Zhang
SDM 2022 (ICORE Rank A)
code
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Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric O'Neill, Lei Xie, Ping Zhang
Patterns (Cell Press) (Impact factor: 6.7)
code
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2021
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Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
ICDM 2021 (ICORE Rank A*) (Best paper candidate)
code
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A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang
Nature Machine Intelligence (Nature Portfolio) (Impact factor: 25.898)
code
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Before PhD Study
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An empirical study on fine-grained named entity recognition
Khai Mai*, Thai-Hoang Pham*, Minh Trung Nguyen, Tuan Duc Nguyen, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine
COLING 2018 (ICORE Rank A)
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Extended named entity recognition api and its applications in language education
Tuan Duc Nguyen, Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Truc-Vien T Nguyen, Takashi Eguchi, Ryohei Sasano, Satoshi Sekine
ACL 2017 (ICORE Rank A*) (System Demonstrations)
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Awards
Graduate Student Research Award, Department of Computer Science and Engineering, The Ohio State University, 2025.
Exemplary Graduate Student Researcher, College on Engineering, The Ohio State University, 2025.
NeurIPS Scholar Award, NeuIPS 2025.
AAAI Scholarship, AAAI 2025.
UAI Scholarship, UAI 2024.
Top reviewer, AISTATS 2023.
SIAM student travel award, SDM 2022.
Best paper candidate, ICDM 2021.
Vietnam Education Foundation 2.0 Scholarship, 2018.
Best paper candidate, IALP 2016.
Valedictorian, FPT University, 2015
The most excellent student, FPT University, 2013.
Excellent student, FPT University, 2012-2015
Second prize in 21st Vietnam Student Mathematical Olympiad, 2013.
Full scholarship for talented student, FPT University, 2011-2015.
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Services
Advisory Board member: Heliyon (2023 - 2025).
Program Committee member: NeurIPS, ICLR, ICML, KDD, AAAI, IJCAI, AISTATS, SDM, ICDM, PAKDD.
Journal reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), ACM Transactions on Knowledge Discovery from Data (TKDD), Heliyon, Bioinformatics, Scientific Reports, Artificial Intelligence in Medicine, IEEE Journal of Biomedical and Health Informatics (JBHI).
Journal subreviewer: Nature Medicine, Nature Biomedical Engineering, Nature Method, Nature Communications, Science Advances.
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The template of the page is from Jon Barron.
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