Peter Chang
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Publications

7 publications, 3 of them as first author. Citations and BibTeX come from one source file.

Google ScholarORCIDarXiv

2026

1 paper
COLM 2026First author

Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement

Ting-Wei Chang, Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen

TL;DRLets an LLM turn its own history into strategies — continual gains, no retraining.

2025

1 paper
BMJ HCI 2025First author

Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers

Ting-Wei Chang, Chang-Yu Tsai, Zhen-Yi Tang, Cai-Mei Zheng, Chia-Te Liao, Chung-Yi Cheng, Mai-Szu Wu, Che-Chou Shen, Yen-Chung Lin

TL;DRPredicts kidney fibrosis from ultrasound and blood tests — no biopsy needed.

2024

1 paper
TREC 2024 · PLABAFirst author

Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

Ting-Wei Chang, Hen-Hsen Huang, Hsin-Hsi Chen

TL;DRRewrites dense medical text into language patients can actually read.

2023

1 paper
JTCI 2023Co-first author

Beta-blocker Therapy and Future Risk of Lower Limb Amputation in Patients with Diabetes and Peripheral Artery Disease

Ting-Wei Chang*, Yung-Tai Chen*, Yu-Wen Su, Chun-Chin Chang, Yi-Cheng Lin, Chun-Yao Huang, Po-Hsun Huang, Jaw-Wen Chen, Shing-Jong Lin, Chien-Yi Hsu — * equal contribution

TL;DRWhether beta-blockers change later amputation risk in diabetes with peripheral artery disease.

2022

1 paper
IEEE ECBIOS 2022

Multi-model Comparison for Classification of Medical Records using the BioBERT Models

Nai-Yun Tung, Hsiang-Wei Hu, Ting-Wei Chang, You-Ming Hu, Hsuan-Ming Lin

TL;DRCompares BioBERT variants on classifying medical records.

2021

2 papers
IEEE ICOT 2021

Feature Selection for Intradialytic Blood Pressure Value Prediction Using GRU-based Method Under RFECV Algorithm

En-Han Huang, Hsiang-Wei Hu, Wun-Long Jheng, Kuan-Yu Chen, Chih-Hao Liu, Hsin-Yin Chi, Ting-Wei Chang, Chin-Yu Wu, Chi-Hin Un, Hsuan-Ming Lin, Che-Wen Chen, Jhing-Fa Wang

TL;DRSelects the features that actually predict blood pressure during dialysis.

IEEE ICOT 2021

The Pilot Research of Differencing Time Series as an Important Feature Extraction for Numerical Prediction of Systolic Blood Pressure Using Machine Learning

Chih-Hsun Huang, Nai-Yun Tung, Hsiang-Wei Hu, Kuan-Yu Chen, Chih-Hao Liu, Hsin-Yin Chi, Ting-Wei Chang, Jiun-Yi Yang, Hsuan-Ming Lin, Che-Wen Chen, Jhing-Fa Wang

TL;DRUses differenced time series as the feature that predicts systolic blood pressure.