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2020 – today
- 2024
[i14]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Non-stationary Domain Generalization: Theory and Algorithm. CoRR abs/2405.06816 (2024)- 2023
- [j3]Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
:
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowl. Inf. Syst. 65(4): 1487-1521 (2023) - [c15]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Fairness and Accuracy under Domain Generalization. ICLR 2023 - [i13]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Fairness and Accuracy under Domain Generalization. CoRR abs/2301.13323 (2023) - [i12]Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng, Ping Zhang:
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. CoRR abs/2312.03196 (2023) - 2022
- [j2]Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric E. O'Neill, Lei Xie, Ping Zhang:
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing. Patterns 3(4): 100441 (2022) - [c14]Seungyeon Lee, Thai-Hoang Pham, Ping Zhang:
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. ICDM 2022: 1029-1034 - [c13]Thai-Hoang Pham, Lei Xie, Ping Zhang:
FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. SDM 2022: 720-728 - 2021
- [j1]Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang:
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing. Nat. Mach. Intell. 3(3): 247-257 (2021) - [c12]Biplob Biswas, Thai-Hoang Pham, Ping Zhang:
TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding. AIME 2021: 469-478 - [c11]Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang:
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. ICDM 2021: 499-508 - [i11]Biplob Biswas, Thai-Hoang Pham, Ping Zhang:
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding. CoRR abs/2104.10652 (2021) - [i10]Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang:
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. CoRR abs/2109.12276 (2021)
2010 – 2019
- 2019
- [i9]Thai-Hoang Pham, Khai Mai, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition. CoRR abs/1902.10118 (2019) - 2018
- [c10]Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
An Empirical Study on Fine-Grained Named Entity Recognition. COLING 2018: 711-722 - [c9]Thai-Hoang Pham, Xuan-Khoai Pham:
Building a Spoonerism Detection System for Vietnamese. PACLIC 2018 - 2017
- [c8]Tuan Duc Nguyen, Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Truc-Vien T. Nguyen, Takashi Eguchi, Ryohei Sasano, Satoshi Sekine:
Extended Named Entity Recognition API and Its Applications in Language Education. ACL (System Demonstrations) 2017: 37-42 - [c7]Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong:
On the use of machine translation-based approaches for vietnamese diacritic restoration. IALP 2017: 272-275 - [c6]Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, Phuong Le-Hong:
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit. IJCNLP (System Demonstrations) 2017: 37-40 - [c5]Phuong Le-Hong, Minh Pham Quang Nhat, Thai-Hoang Pham, Tuan-Anh Tran, Dang-Minh Nguyen:
An empirical study of discriminative sequence labeling models for Vietnamese text processing. KSE 2017: 88-93 - [c4]Thai-Hoang Pham, Phuong Le-Hong:
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition. PACLIC 2017: 97-103 - [c3]Thai-Hoang Pham, Phuong Le-Hong:
End-to-End Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-Level Vs. Character-Level. PACLING 2017: 219-232 - [i8]Thai-Hoang Pham, Phuong Le-Hong:
Content-based Approach for Vietnamese Spam SMS Filtering. CoRR abs/1705.04003 (2017) - [i7]Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong:
Building a Semantic Role Labelling System for Vietnamese. CoRR abs/1705.04038 (2017) - [i6]Thai-Hoang Pham, Phuong Le-Hong:
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level. CoRR abs/1705.04044 (2017) - [i5]Thai-Hoang Pham, Phuong Le-Hong:
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition. CoRR abs/1705.10610 (2017) - [i4]Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, Phuong Le-Hong:
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit. CoRR abs/1708.07241 (2017) - [i3]Phuong Le-Hong, Minh Pham Quang Nhat, Thai-Hoang Pham, Tuan-Anh Tran, Dang-Minh Nguyen:
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing. CoRR abs/1708.09163 (2017) - [i2]Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong:
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration. CoRR abs/1709.07104 (2017) - [i1]Phuong Le-Hong, Thai-Hoang Pham, Xuan-Khoai Pham, Thi Minh Huyen Nguyen, Luong Thi Nguyen, Hiep Minh Nguyen:
Vietnamese Semantic Role Labelling. CoRR abs/1711.10124 (2017) - 2016
- [c2]Thai-Hoang Pham, Phuong Le-Hong:
Content-based approach for Vietnamese spam SMS filtering. IALP 2016: 41-44 - 2015
- [c1]Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong:
Building a semantic role labelling system for Vietnamese. ICDIM 2015: 77-84
Coauthor Index
aka: Phuong Le-Hong
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