Thai-Hoang Pham
Computer Science · The Ohio State University
Publications
48
Citations
458
Est. group size
~3
Recurring co-author estimate
Active years
21
Publishing since 2006
Thai-Hoang Pham works on machine learning methods, with research spanning fairness in AI systems, domain adaptation and generalization (techniques for making models work reliably when data conditions shift), natural language processing (especially for Vietnamese text), and applications in healthcare and drug discovery. Earlier work focused heavily on Vietnamese language processing tasks like named entity recognition, while more recent work emphasizes theoretical machine learning topics such as fairness and domain adaptation, alongside applied projects in solar forecasting and molecular generation for drug discovery.
Publication output has fluctuated over the past decade, starting high in 2017, dipping in 2018-2020, rising again with recent activity in 2025-2026, suggesting a renewed and steady pace of output in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Achieving Fairness Without Harm via Selective Demographic Experts
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- A Reinforcement Learning-Based Framework for Short-Term and Long-Term Solar Irradiance Forecasting in Microgrid
Smart Grids and Sustainable Energy · 2025
- Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- Achieving Fairness Without Harm via Selective Demographic Experts
PubMed · 2025
- Non-stationary Domain Generalization: Theory and Algorithm.
PubMed · 2024
- Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
arXiv (Cornell University) · 2024
- Statistical Machine Learning
Springer handbooks · 2023
- Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
arXiv (Cornell University) · 2023
- FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery
Society for Industrial and Applied Mathematics eBooks · 2022
- pth1993/DeepCE: First release of DeepCE
Zenodo (CERN European Organization for Nuclear Research) · 2020
- Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
arXiv (Cornell University) · 2019
- An Empirical Study on Fine-Grained Named Entity Recognition
International Conference on Computational Linguistics · 2018
- End-to-End Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-Level Vs. Character-Level
Communications in computer and information science · 2018
- Building a Spoonerism Detection System for Vietnamese
Institutional Repositories DataBase (IRDB) · 2018
- End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level
arXiv (Cornell University) · 2017
- arXiv (Cornell University)×13
- PubMed×4
- bioRxiv (Cold Spring Harbor Laboratory)×3
- Institutional Repositories DataBase (IRDB)×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- Sneha Jha
Computer Science · Purdue University West Lafayette
- Yaqing Wang
Computer Science · Purdue University West Lafayette
- Zihan Zhang
Computer Science · The Ohio State University
- Vardaan Pahuja
Computer Science · The Ohio State University
- Xiang Yue
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile