Tzu-Ming Harry Hsu

21 papers A* 2B 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning.
CoRR
Tsao-Lun Chen, Chien-Liang Liu, Tzu-Ming Harry Hsu, Tai-Hsien Wu, Chi-Cheng Fu, Han-Yi E. Chou, Shun-Feng Su
2025 J jnl
Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs - A Multinational Study.
CoRR
Yin-Chih Chelsea Wang, Tsao-Lun Chen, Shankeeth Vinayahalingam, Tai-Hsien Wu, Chu Wei Chang, Hsuan-Hao Chan, Hung-Jen Wei, Mu-Hsiung Chen, Ching-Chang Ko, David Anssari Moin, Bram van Ginneken, Tong Xi, Hsiao-Cheng Tsai, Min-Huey Chen, Tzu-Ming Harry Hsu, Hye Chou
2022 — —
Effective Modeling in Medical Imaging with Constrained Data
Tzu-Ming Harry Hsu
2021 J jnl
Adversarial Contrastive Pre-training for Protein Sequences.
CoRR
Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits
2021 — conf
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision.
MICCAI (5)
Tzu-Ming Harry Hsu, Yin-Chih Chelsea Wang
2021 J jnl
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision.
CoRR
Tzu-Ming Harry Hsu, Yin-Chih Chelsea Wang
2020 — conf
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output.
MLHC
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
2020 J jnl
CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output.
CoRR
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
2020 — conf
Federated Visual Classification with Real-World Data Distribution.
ECCV (10)
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2020 J jnl
Federated Visual Classification with Real-World Data Distribution.
CoRR
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2019 — conf
Baselines for Chest X-Ray Report Generation.
ML4H@NeurIPS
William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits
2019 — conf
Clinically Accurate Chest X-Ray Report Generation.
MLHC
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
2019 J jnl
Clinically Accurate Chest X-Ray Report Generation.
CoRR
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
2019 J jnl
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.
CoRR
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2019 J jnl
Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond.
IEEE Trans. Image Process.
Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen, Yu-Chiang Frank Wang
2018 A* conf
3D-Aware Scene Manipulation via Inverse Graphics.
NeurIPS
Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum
2018 J jnl
3D-Aware Scene Manipulation via Inverse Graphics.
CoRR
Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum
2018 J jnl
Unsupervised Multimodal Representation Learning across Medical Images and Reports.
CoRR
Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits
2016 — conf
Transfer Neural Trees for Heterogeneous Domain Adaptation.
ECCV (5)
Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang, Ming-Syan Chen
2015 B conf
Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification.
ICIP
Wei-Yu Chen, Tzu-Ming Harry Hsu, Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang
2015 A* conf
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data.
ICCV
Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang