Chiu, Shu-i; Fan, Ling-Yun; Lin, Chin-Hsien; Chen, Ta-Fu; Lim, Wee Shin;  Jang, Jyh-Shing; Chiu, Ming-Jang, Machine-learning-based classification of subjective cognitive decline, mild cognitive impairment, and Alzheimer’s dementia using neuroimage and plasma biomarkers, ACS Chemical Neuroscience. 2022.

Yung-Tsai Chu, Chin-Feng Yu, Sung-Pin Fan, Ta-Fu Chen, Ming-Jang Chiu, Jyh-Shing Roger Jang, Shu-I Chiu*, Chin-Hsien Lin*, Substantia nigra nigrosome-1 imaging correlates with the severity of motor symptoms in Parkinson's disease, Journal of the Neurological Sciences, Vol. 451, 2023.

榮獲 第二十二屆國家新創獎 

林靜嫻、張智星、邱瀚模、邱淑怡、范淞斌、林坤霖、林偉莘

多模態表徵AI 智慧平台：巴金森氏症早期診斷新契機，2025

Shu-i Chiu, Chin-Hsien Lin, Wee Shun Lim, Ming-Jang, Chiu, Ta-Fu, Chen, and Jyh-Shing Roger Jang. Predicting neurodegenerative diseases using a novel blood biomarkers-based model by machine learning. International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019).

游勤葑，基於孿生網絡之正則化對比式遷移學習於醫療影像，碩士論文，2022年。

Ta-Ching Chen, Wee Shin Lim, Victoria Y. Wang, Mei-Lan Ko, Shu-I Chiu, Yu-Shu Huang, Feipei Lai, Chung-May Yang, Fung-Rong Hu, Jyh-Shing Roger Jang, Chang-Hao Yang, Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration. J. Digit. Imaging 34(4): 948-958 (2021).

 Chang-Fu Su, Shu-I Chiu, Jyh-Shing Roger Jang, Feipei Lai, Improved Inpatient Deterioration Detection in General Wards by Using Time-Series Vital Signs, Scientific Reports, 20 May 2022. 

太陽花學運(The sunflower movement)情感分析之研究

1. Shu-i Chiu and Kuo-Wei Hsu. User Mining to Find Important Facebook Users. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 110-114, 2018.

2. Shu-i Chiu and Kuo-Wei Hsu. Predicting political tendency of posts on Facebook. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 124-128, 2018.

3. Shu-i Chiu and Kuo-Wei Hsu. Information diffusion on Facebook: A case study of the sunflower student movement in Taiwan. In Proceedings of the 11th International Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05 - 07, 2017), 48, 2017.

推薦系統

1. Shu-I Chiu and Kuo-Wei Hsu. Efficiently processing skyline query on multi-instance data. Journal of Information Processing Systems, vol. 13, no 5, pp. 1277-1298, 2017. doi: 10.3745/JIPS.04.0049.

2. Shu-i Chiu and Kuo-Wei Hsu. Skyline query processing for rating data. In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 - July 1, 2016),305, 2016.

Covid-19之研究

1. Shu-I Chiu and Ting-Wei Jhou, Sarcasm Detection of Facebook’s posts using machine learning models, International Conference on Natural Language Processing and Information Retrieval (NLPIR ‘24), pp. 349-354, December 13-15, 2024 (Okayama, Japan). (ORCID: https://orcid.org/0000-0001-8027-9686) 

2. Shu-I Chiu, Deep Learning Models for Predicting Political Tendency in Facebook Posts Incorporating Texts and Emojis, International Conference on Data-driven Optimization of Complex Systems (DOCS), August 16-18, 2024 (Hangzhou, China).

3. 段人鳯、邱淑怡、劉慧雯, 以社群媒體語言建構深度學習模型：以「校正回歸」為例, 中文計算語言學期刊；27卷1期 (2022 / 06 / 01) ， P153-179。

4. 周廷威，Facebook上的情緒分析：台灣COVID-19期間疫苗貼文的研究，碩士論文，2024年。

5. 張禎尹，基於深度學習以情感辭典增強情緒分析，碩士論文，2024年。

6. Ting-Wei Jhou, Shu-I Chiu. Sentiment analysis of vaccine’s post during covid-19 pandemic in Taiwan on social media, In 2023 TANET&NCS. 

新聞產業的檢索增強生成(RAG)

 1. 傅國書，產業新聞問答系統之RAG工作流程最佳化研究，碩士論文，2026年。