Thai-Hoang Pham

I am a fourth-year PhD student at Department of Computer Science and Engineering, The Ohio State University (OSU) supervised by Prof. Ping Zhang. Before coming to OSU, I received my bachelor's degree from FPT University, where I was supervised by Dr. Phuong Le-Hong.

Email: pham dot 375 at osu dot edu

Google Scholar

Research

My research interests are at intersection between machine learning and biomedical domains.

Selected Publications
FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery
Thai-Hoang Pham, Lei Xie, Ping Zhang
SDM 2022
code
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
code
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 (Best paper candidate)
code
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
code
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding
Biplob Biswas, Thai-Hoang Pham, Ping Zhang
AIME 2021
code
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

Building a Spoonerism Detection System for Vietnamese
Thai-Hoang Pham, Xuan-Khoai Pham
PACLIC 2018

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 (System Demonstrations) 2017

Nnvlp: A neural network-based vietnamese language processing toolkit
Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, Phuong Le-Hong
IJCNLP (System Demonstrations) 2017

End-to-end recurrent neural network models for vietnamese named entity recognition: Word-level vs. character-level
Thai-Hoang Pham, Phuong Le-Hong
PACLING 2017

The importance of automatic syntactic features in vietnamese named entity recognition
Thai-Hoang Pham, Phuong Le-Hong
PACLIC 2017

Awards

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.

Services

Conference sub reviewer: AAAI, IJCAI, KDD, ICDM, SDM, ICML, ICLR, NeurIPS.

Journal sub reviewer: Pattern Recognition.

Journal reviewer: Bioinformatics, Scientific Reports.

Workshop reviewer: XAI-Health.


The template of the page is from Jon Barron.