Sheng-Min Chiu on AIIS Lab

Publications

Wed, 13 May 2026 13:20:26 +0800

International Journal

Sheng-Min Chiu, Zhi-Gang Wen, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, Tzu-Yin Chang, and Roger Zimmermann, “CRBF-Net: Convolutional RBF Network for Key Grid Cells Selection in Spatial-Temporal Flow Prediction,” ACM Transactions on Spatial Algorithms and Systems, 2026.
Sheng-Min Chiu, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, Tzu-Yin Chang, and Roger Zimmermann, “Universal Transfer Framework for Urban Spatio-Temporal Knowledge Based on Radial Basis Function,” IEEE Transactions on Artificial Intelligence, vol. 5, no. 9, pp. 4458-4469, 2024.
Sheng-Min Chiu, Yi-Chung Chen, Cheng-Ju Kuo, Li-Chun Hung, Min-Hsiung Hung, Chao-Chun Chen, and Chiang Lee, “Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction,” IEEE Transactions on Instrumentation and Measurement, Vol. 71, Article 2506711, 2022. (SCIE 2023Q1, IF:5.6)
Sheng-Min Chiu, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, and Tzu-Yin Chang, “Identifying Key Grid Cells for Crowd Flow Predictions Based on CNN-based Models with the Grad-CAM Kit,” Applied Intelligence, 2022. (SCIE 2023Q2, IF:3.4)
Sheng-Min Chiu, Yi-Chung Chen, and Chiang Lee, “Estate Price Prediction System Based on Temporal and Spatial Features and Lightweight Deep Learning Model,” Applied Intelligence, 2021. (SCIE 2023Q2, IF:3.4)
Yi-Chung Chen, Hsi-Ho Huang, Sheng-Min Chiu, and Chiang Lee, “Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks,” ISPRS International Journal of Geo-Information, vol. 10, no. 1, Article 57, 2021. (SCIE 2023Q2, IF:2.8)
Hua-Hong Huang, Sheng-Min Chiu, Yi-Chung Chen, and Chiang Lee, “Group Trip Recommendation Systems,” Advances in Information and Communication Networks, vol. 886, pp. 391-412, 2019-1. (EI)

International Conference

Hung-Wei Wang, and Sheng-Min Chiu, “LoRA-Enhanced Vocabulary Adaptation for Efficient Medical Summarization,” IEEE International Conference on Applied System Innovation 2026 (ICASI 2026), 2026-04, Kyoto, Japan.
Lin Chou, Ruei-Hong Lee, and Sheng-Min Chiu, “RAG-NAS: Retrieval-Augmented Generation Based Efficient Knowledge-Guided Neural Architecture Search,” IEEE International Conference on Applied System Innovation 2026 (ICASI 2026), 2026-04, Kyoto, Japan.
Tu-Yu Chen, Yi-Hung Chen, Pin-Yen Lu, and Sheng-Min Chiu, “An Intelligent Decision Support System for Material Planning and Production Process Optimization in Smart Factories,” IEEE International Conference on Applied System Innovation 2026 (ICASI 2026), 2026-04, Kyoto, Japan.
An-Syu Li, Wei-Ting Lai, Sheng-Min Chiu, and Yi-Chung Chen, “GeoChronos-GPT: Spatiotemporal Transformer Framework for Personalized Point-of-Interest Recommendation,” In Proceedings of the 8th Artificial Intelligence and Cloud Computing Conference (AICCC 2025), 2025-12, Tokyo, Japan.
Chang-Hung Shih, Yang-Chou Juan, Liang-Jiun Wang, Yi-Chung Chen, and Sheng-Min Chiu, “Crowd Flow Prediction Model Using AutoEncoder and Deep Neural Network: Applications in Dynamic Urban Settings,” IEEE International Conference on Applied System Innovation 2025 (ICASI 2025), 2025-04, Tokyo, Japan.
Ting-Hsuan Chang, Sheng-Min Chiu, Yi-Chung Chen and Chiang Lee, “Using spatial, temporal, and external factors to enhance prediction of shared-transport users,” Multidisciplinary International Social Networks Conference (MISNC), 2022-10, Matsuyama, Japan.
Sheng-Min Chiu, Yi-Chung Chen, Yow-Shin Liou, Chiang Lee, Jia-Ching Ying, Chee-Hoe Loh and Jou-Wei Lin, “A Fast, Interactive, Location-based Food Recommendation Application,” Multidisciplinary International Social Networks Conference (MISNC), 2021-11, Bergen, Norway and Kaohsiung, Taiwan.
Sheng-Min Chiu, Yi-Chung Chen, Jou-Wei Lin, Cheng-Hsien Tsai, and Chiang Lee “An Interactive Health Management System for Self-supervised Health Management,” Proceeding on IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS), 2021-5, Tainan, Taiwan. (Best Paper Award)
Sheng-Min Chiu, Feng-Jung Yang, Yi-Chung Chen, Chiang Lee, “Deep learning for Etiology of Chronic Kidney Disease in Taiwan,” 2nd IEEE Eurasia Conference on IOT, Communication and Engineering, 2020 (IEEE ECICE 2020), 2020-10, Yunlin, Taiwan.
Chee-Hoe Loh, Sheng-Min Chiu, and Yi-Chung Chen, “Application of Hammerstein-Wiener Recurrent Neural Network to Accelerate Time-Series Skyline Queries,” International Workshop of Machine Learning on Multimedia and Applications, 2019-08. Bali, Indonesia. (Best Paper Award)
Sheng-Min Chiu, Chung-Ying Hsieh and Yi-Chung Chen, “Using the news in the social networks to predict the TAIEX stock price,” International Joint Conference Of TCSE, JASPIC And SEA, 2019-07. Chiba, Japan and Taoyuan, Taiwan.
Sheng-Min Chiu, Yi-Chung Chen, Tien-Yen Chang, Yu-Liang Hsu, Heng-Yi Su, Hsi-Min Chen, Tzu-Yu Lin,“A Fast Way for Finding Similar Friends in Social Networks by using Neuro-Fuzzy Networks,” 2016 International Conference on Machine Learning and Cybernetics (ICMLC 2016), 2016-07. Jeju Island, South Korea.
Yi-Chung Chen, Sheng-Min Chiu, Heng-Yi Su, Hsi-Min Chen, Yu-Liang Hsu, and Yu-Ren Yang, “An Efficient and Precise Algorithm for Finding Similar Friends in Distributed Social Networks,” International Conference on Information and Social Science (ISS 2016), 2016-06. Sapporo, Japan.
Sheng-Min Chiu, Yi-Chung Chen, Heng-Yi Su and Yu-Liang Hsu, “Finding Similar Users in Social Networks by Using the Depth-k Skyline Query,” 2015 IEEE International Conference on Consumer Electronics, pp. 162-163 , 2015-06. Taipei, Taiwan.
Heng-Yi Su, Yi-Chung Chen, Qian-Hua Huang, Sheng-Min Chiu, and Yu-Liang Hsu, “An Educational/Research-Aimed Tool for Voltage Stability Analysis in Smart Grids,” 2015 IEEE International Conference on Consumer Electronics, pp. 164-165, 2015-06. Taipei, Taiwan.

Domestic Conference

王弘瑋, 邱勝敏, “低秩適應(LoRA)與醫療詞彙擴展結合之高效模型微調,” 第27屆永續發展管理研討會, 2026-05. Pingtung, Taiwan.
陳圖億, 陳義竑, 盧品言, 邱勝敏, “智慧工廠物料規劃與生產瓶頸優化之輔助智慧決策系統,” 第27屆永續發展管理研討會, 2026-05. Pingtung, Taiwan.
劉佑炘, 邱勝敏, 李香蘭, 陳奕中, 李強, 尚榮康, 張子瑩, “利用CNN-LSTM及Grad-CAM擷取臺北市人流移動趨勢特徵值並建立輕量化模型預測人流量,” TGIS (The Taiwan Geographic Information Society Annual Meeting & Academic Conference), 2021, Taiwan. (Best Student Paper Award)
邱勝敏, 陳奕中, 陳朝鈞, 李強, 洪莉珺,“基於模糊深度學習模型萃取深度特徵進而提升刀具壽命預測的準確性,” Chinese Institute of Industrial Engineers Annual Conference, 2020 (CIIE2020).
邱勝敏, 郭巧玲, 范毅軍, 李強 “利用相似度投票法於歷史地圖圖徵萃取-以日治時期台灣堡圖為例,” TGIS (The Taiwan Geographic Information Society Annual Meeting & Academic Conference), 2020, Taiwan.
李香蘭, 陳奕中, 邱勝敏, 李強, 尚榮康, 張子瑩, “雙北市人流資料與天氣的關係,” TGIS (The Taiwan Geographic Information Society Annual Meeting & Academic Conference), 2020, Taiwan.
邱勝敏, 陳昱任, 羅志豪, 陳奕中, “基於遞迴式類神經網路之快速時間序列天際線查詢方法,” WASN 2018, 無線、隨意及感測網路研討會, 2018-08, 桃園渴望會館.
Tze-Suen Lim, Yi-Chung Chen, Sheng-Min Chiu, Wei-Lun Wang, and Wei-Hung Lin, “Time Series Skyline Query and Its Neural Filter,” 2017台灣軟體工程研討會 , pp. 307-312 , 2017-07.
邱勝敏, 陳奕中, 楊東麟, 薛念林, 陳錫民, “基於倒傳遞模糊類神經網路之快速天際線朋友尋找演算法,” 2016 台灣軟體工程研討會(TCSE2016), 2016-07. Keelung, Taiwan.
Sheng-Min Chiu and Yi-Chung Chen, “A Novel Algorithm for Finding Similar Friends in Social Networks,” National Symposium on System Science and Engineering, 2015-07. Taipei, Taiwan.
Sheng-Min Chiu, Zhong-Ying Xie, Pei-Bei Chen,Hung-Yu Wei, and Yi-Chung Chen, “Using the Concepts of Skyline Queries and Neural Networks to Accelerate the Processes of Finding Similar Users in Social Networks,” National Conference on Web Intelligence and Applications, 2015-06. Yilan, Taiwan.

Services

Wed, 13 May 2026 13:20:26 +0800

🏛️ Academic Services

Reviewer

International Journal of Data Science and Analytics
2026 ~ now
The Journal of Supercomputing
2026 ~ now
Journal of King Saud University Computer and Information Sciences
2026 ~ now

Technical Program Committee Member

2026 8th International Conference on Software Engineering and Development (ICSED 2026)
2026 9th Artificial Intelligence and Cloud Computing Conference (AICCC 2026)
2025 7th International Conference on Software Engineering and Development (ICSED 2025)
2025 8th Artificial Intelligence and Cloud Computing Conference (AICCC 2025)

Session Chair

2026 International Conference on Applied System Innovation (ICASI 2026) - Oral C5
2025 International Conference on Applied System Innovation (ICASI 2025) - Oral A3

Invited Talks

Explainable AI : AI-Driven Feature Selection for Lower Computational Cost
Explainable AI - 由AI篩選特徵並降低運算成本
Department of Electronic Engineering, National United University / 國立聯合大學電子工程學系 (April 2026)
Explainable AI : AI-Driven Feature Selection for Lower Computational Cost
Explainable AI - 由AI篩選特徵並降低運算成本
Department of Computer Science and Information Engineering, Providence University / 靜宜大學資訊工程學系 (Sep. 2025)
A Study on Feature Selection and Computational Cost Reduction Based on Novel Explainable Neurons
基於新型可解釋神經元進行特徵選擇並降低模型成本之研究
Department of Computer Science and Engineering, National Sun Yat-sen University / 國立中山大學資訊工程學系 (Sep. 2025)
A Study on Feature Selection and Computational Cost Reduction Based on Novel Explainable Neurons
基於新型可解釋神經元進行特徵選擇並降低模型成本之研究
Department of Mathematics, National Chung Cheng University / 國立中正大學數學系 (Dec. 2024)
A Study on Feature Selection and Computational Cost Reduction Based on Novel Explainable Neurons
基於新型可解釋神經元進行特徵選擇並降低模型成本之研究
Department of Computer Science and Information Engineering, National Chung Cheng University / 國立中正大學資訊工程學系 (Sept. 2024)
基於深度學習模型進行特徵選擇並降低運算成本之研究及申請和執行千里馬計畫經驗分享
Department of Computer Science and Information Engineering, National Cheng Kung University / 國立成功大學資訊工程學系 (June 2023)

Thesis Committee

Hao-Cheng Zhang, STA-NIM: A Non-Monetary Incentive Mechanism for Enhancing Task Assignment in Spatial Crowdsourcing, M.S. thesis, Department of Computer Science and Information Engineering, National Chung Cheng University, 2025-07-30.
張皓程, STA-NIM: A Non-Monetary Incentive Mechanism for Enhancing Task Assignment in Spatial Crowdsourcing, 碩士論文, 國立中正大學資訊工程研究所, 2025-07-30.
Advisor: Yu-Ling Hsueh 薛幼苓博士
Chieh-Yi Hsuan, A Reputation-Aware Double Auction Model for Task Allocation in Mobile Crowdsensing, M.S. thesis, Department of Computer Science and Information Engineering, National Chung Cheng University, 2025-07-30.
宣傑譯, 移動群智感知任務分配中的聲譽感知雙向拍賣模型, 碩士論文, 國立中正大學資訊工程研究所, 2025-07-30.
Advisor: Yu-Ling Hsueh 薛幼苓博士
Yu-Chia Lin, HML-PTA: A Hybrid Multi-Level Privacy-Preserving Task Assignment for Spatial Crowdsourcing, M.S. thesis, Department of Computer Science and Information Engineering, National Chung Cheng University, 2025-07-30.
林育嘉, A Hybrid Multi-Level Privacy-Preserving Task Assignment for Spatial Crowdsourcing, 碩士論文, 國立中正大學資訊工程研究所, 2025-07-30.
Advisor: Yu-Ling Hsueh 薛幼苓博士
Yu-Chiao Li, A Topic-enhanced GNN for Social Recommendation with Multi-source Feature Fusion, M.S. thesis, Department of Computer Science and Information Engineering, National Chung Cheng University, 2025-07-30.
李羽喬, 結合主題語意與多源特徵的圖神經社交推薦系統, 碩士論文, 國立中正大學資訊工程研究所, 2025-07-30.
Advisor: Yu-Ling Hsueh 薛幼苓博士
Ji-Xian Tsai, A Hybrid Framework Integrating Diffusion Models and Decision Trees for Efficient Generation of Large-Scale Human Mobility Patterns, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-29.
蔡季憲, 結合擴散模型與決策樹以高效率生成未來任意時刻大範圍人群分布, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-29.
Advisor: Yi-Chung Chen 陳奕中博士
Yu-Ting Wang, Using LLM to Analyze the Rainfall Model’s Parameters and Create a Recommendation System for Tourist Rain Preparedness, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-29.
王昱婷, 利用大語言模型解讀雨量模型之參數並以此實現旅遊雨備推薦系統, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-29.
Advisor: Yi-Chung Chen 陳奕中博士
Chun-Chieh Yang, A CGAN and LLM-Integrated System for Road Marking Generation and Semantic Analysis, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-29.
楊竣傑, 結合CGAN與LLM的道路標線生成與語意解析系統, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-29.
Advisor: Yi-Chung Chen 陳奕中博士
Ying-Jhen Su, Utilizing an Innovative Fuzzy Neural Network and Its Corresponding Algorithm to Forecast YouBike Usage Intention, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-28.
蘇映禎, 使用新型態模糊類神經網路與其相對應演算法來進行YouBike使用意願預測, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-28.
Advisor: Yi-Chung Chen 陳奕中博士
Yi-Wun Lin, Use Generative AI To Forecast Pedestrian Flow At MRT Stations and Advise Retail Outlets On Procurement Amounts, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-28.
林羿汶, 利用生成式人工智慧模型進行捷運站未來任一時刻人流量預測與其附屬商店之商品進貨量推薦, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-28.
Advisor: Yi-Chung Chen 陳奕中博士
Zi-Yan Lin, A Personalized Driving Recommendation System for Sun Yat-sen Freeway Using Conditional GAN, GPT, and RAG, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-07.
林子雁, 基於條件式GAN、GPT和RAG之中山高速公路客製化行車建議推薦系統, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-07.
Advisor: Yi-Chung Chen 陳奕中博士
Yi-Wen Hung, Using Yolov11 and RAG to Develop a Safe Route Recommendation System, M.S. thesis, Department of Computer Science and Engineering, National Chung Hsing University, 2025-07-07.
洪意雯, 融合Yolov11與RAG之道路安全路徑推薦系統, 碩士論文, 國立中興大學資訊工程學系所, 2025-07-07.
Advisor: Yi-Chung Chen 陳奕中博士
Hsien-Hung Chiu, Price Prediction of NBA Player Cards Using Sentiment Analysis and Fuzzy Neural Networks , M.S. thesis, Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, 2025-06-18.
邱顯閎, 應用情緒分析與模糊類神經網路於NBA球員卡價之預測, 碩士論文, 國立雲林科技大學智慧數據科學研究所, 2025-06-18. Advisors: Ya-Hsin Hsueh 薛雅馨博士, and Yi-Chung Chen 陳奕中博士

Gallery

Wed, 13 May 2026 00:00:00 +0000

📸 Lab Activities

Here we share some of the memorable moments of our lab members attending conferences, lab gatherings, and other activities.

IEEE ICASI 2026 in Kyoto, Japan

April 2026 Our lab members presented their latest research on Medical LLM, RAG-NAS, and Smart Factory Optimization at the International Conference on Applied System Innovation.

Group photo at ICASI 2026, Kyoto.

About

Tue, 30 Jul 2024 00:00:00 +0000

Hello in a new age

You can call me Mirus and I forked the original Terminal theme for Hugo, because Radek, the original creator of the theme stop the maintenance and archived the repo.

So I already pushed a few improvements that I did for my humble blog and I’m going to add some more features in the future, also any contribution is welcome

Below you can read the original about from Radek

# Hi there

My name is Radek and I'm the author of this theme.
I made it to help you present your ideas easier.

We all know how hard is to start something on the web,
especially these days. You need to prepare a bunch of stuff,
configure them and when that’s done — create the content.

This theme is pretty basic and covers all of the essentials.
All you have to do is start typing!

The theme includes:

- **5 duotone themes**,
depending on your preferences (orange, red, blue, green, pink)
- [**Fira Code**](https://github.com/tonsky/FiraCode)
as default monospaced font. It's gorgeous!
- **really nice, custom duotone** syntax highlighting based on
[**PrismJS**](https://prismjs.com)
- mobile friendly layout

So, there you have it... enjoy!

Showcase

Wed, 18 Jul 2018 00:00:00 +0000

Features in updates

native CSS variables showcase

Header 2

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam nec interdum metus. Aenean rutrum ligula sodales ex auctor, sed tempus dui mollis. Curabitur ipsum dui, aliquet nec commodo at, tristique eget ante. Donec quis dolor nec nunc mollis interdum vel in purus. Sed vitae leo scelerisque, sollicitudin elit sed, congue ante. In augue nisl, vestibulum commodo est a, tristique porttitor est. Proin laoreet iaculis ornare. Nullam ut neque quam.

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Header 3

Nulla libero turpis, lacinia vitae cursus ut, auctor dictum nisl. Fusce varius felis nec sem ullamcorper, at convallis nisi vestibulum. Duis risus odio, porta sit amet placerat mollis, tincidunt non mauris. Suspendisse fringilla, odio a dignissim pharetra, est urna sollicitudin urna, eu scelerisque magna ex vitae tellus.

/* PostCSS code */

pre {
  background: #1a1a1d;
  padding: 20px;
  border-radius: 8px;
  font-size: 1rem;
  overflow: auto;

  @media ($phone) {
    white-space: pre-wrap;
    word-wrap: break-word;
  }

  code {
    background: none !important;
    color: #ccc;
    padding: 0;
    font-size: inherit;
  }
}

// JS code

const menuTrigger = document.querySelector('.menu-trigger')
const menu = document.querySelector('.menu')
const mobileQuery = getComputedStyle(document.body).getPropertyValue('--phoneWidth')
const isMobile = () => window.matchMedia(mobileQuery).matches
const isMobileMenu = () => {
  menuTrigger.classList.toggle('hidden', !isMobile())
  menu.classList.toggle('hidden', isMobile())
}

isMobileMenu()

menuTrigger.addEventListener('click', () => menu.classList.toggle('hidden'))

window.addEventListener('resize', isMobileMenu)

<!-- HTML code -->

<section id="main">
  <div>
   <h1 id="title">{{ .Title }}</h1>
    {{ range .Pages }}
      {{ .Render "summary"}}
    {{ end }}
  </div>
</section>

Header 4

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Etiam vitae enim quis velit lobortis placerat a ut sem.
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Courses

Mon, 01 Jan 0001 00:00:00 +0000

2026 Spring (114-2)

Graduate 研究所

Data Processing and Modeling 資料處理與建模

undergraduate 大學部

Computer Network 電腦網路
Computer Network 電腦網路
English as a Medium of Instruction(EMI)

2025 Fall (114-1)

undergraduate 大學部

Introduction to Machine Learning 機器學習導論
English as a Medium of Instruction(EMI)

2025 Spring (113-2)

Graduate 研究所

Artificial intelligence 人工智慧

undergraduate 大學部

Linear algebra 線性代數

Director

Mon, 01 Jan 0001 00:00:00 +0000

邱勝敏助理教授
Asst. Prof. Sheng-Min Sam Chiu

📖 Biography

Sheng-Min (Sam) Chiu received his B.S. degree in Information Engineering and Computer Science from Feng Chia University in 2017, and his M.S. and Ph.D. degrees in Computer Science and Information Engineering from National Cheng Kung University in 2019 and 2023, respectively. From May 2022 to April 2023, he was a visiting scholar at the School of Computing, National University of Singapore.

He is currently an Assistant Professor in the Department of Computer Science and Engineering at National Sun Yat-sen University. His recent research interests include AI/ML, feature Selection, smart manufacturing, and spatio-temporal databases.

💼 Experience

Assistant Professor 助理教授 2025 - present
Dept. of Computer Science and Engineering, National Sun Yat-sen University 國立中山大學資訊工程學系
Assistant Professor 助理教授 2025 - 2025
Dept. of Electronic Engineering, National United University 國立聯合大學電子工程學系
Senior Algorithm Engineer 資深演算法工程師 2023 - 2025
Automotive BU, Raydium Co., Ltd. 瑞鼎科技車用IC部門
Visiting Scholar 訪問學者 2022 - 2023
School of Computing, National University of Singapore 新加坡國立大學計算機學院

🏆 Awards

– 2022 Graduate Students Study Abroad Program / 博士生赴國外短期研究計畫（千里馬計畫）
National Science and Technology Council 國科會

– 2021 Hon Hai Technology Award / 鴻海科技獎
Hon Hai Education Foundation 鴻海教育基金會

– 2019 First Phase of U-start Plan for Innovation and Entrepreneurship / U-start創新創業計畫(第一階段)
Ministry of Education, Taiwan 教育部

– 2017 HackNTU – First Place / 台大黑客松第一名

📧 Contact

Email: smchiu AT cse.nsysu.edu.tw
Office: EC2009, Building of Electrical Engineering, NSYSU

Members

Mon, 01 Jan 0001 00:00:00 +0000

Current Members

MS Students

2025 (114 Academic Year)

蔡易志 (Ian Tsai)
詹宇倫
原﨑厚儒
陳偉華 (William Chen)
吳吉恩 (David Wu)
張祐熏
Penta Paramayoga

Interns

2025 (114 Academic Year)

王弘瑋 (Victor Wang) — Medical LLM Adaptation & LoRA

Bachelor Students (NSYSU)

2026 (115 Academic Year)

李育陞 — Vessel Anomaly Detection

2025 (114 Academic Year)

周霖 (Chou Lin) - RAG-NAS(Knowledge-Guided Neural Architecture Search)
李瑞紘 (Ruei Lee) — Graph Spatio-temporal Flow Applications
陳圖億, 盧品言, 陳義竑 — Smart Factory Material Planning & Production Optimization

Bachelor Students (NUU)

2024 (113 Academic Year)

涂正崑, 王任傑, 朱胡城瑋, 黃博碩
陳岳維, 陳昱安, 黃尉家

Projects

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📝 Research Projects | 研究計畫

Project Title	Institution	Duration	Role
基於可解釋性大型時空模型的智慧都市時空輕量化混合專家邊緣 AI 生成框架 A Lightweight Spatiotemporal Mixture-of-Expert Edge AI Generation Framework for Smart Cities Based on Explainable Large Spatiotemporal Models	國科會 NSTC	2025/05/01~ 2028/04/30	主持人P.I.
基於徑向基函數的時空知識轉移對異常情況下之全市大眾運輸流量預測 Spatial-temporal Knowledge Transfer Based on RBF for Prediction of City-wide Public Transportation Flow under Abnormal Situations	國科會 NSTC	2022/08/01~ 2023/07/31	R.A.
以生成式對抗網路對於非常態事件情形下之大眾運輸流量預測之研究 Research on the Prediction of Public Transportation Flow under Abnormal Events by Using the Generative Adversarial Network	國科會 NSTC	2021/08/01~ 2022/07/31	R.A.
基於深度學習進行時間空間特徵擷取之房地產售價預測系統 Temporal and Spatial Feature Extraction Based on Deep Learning for Predicting Real Estate Price	國科會 NSTC	2019/08/01~ 2020/07/31	R.A.
基於人流資料之前瞻性交通、商展、社群大數據分析研究及台灣地區人流數據收集平台 Prospective People Flow Data-based Research on the Analysis of Big Data from Community, Trade Shows, and Transportation & Platform for the Collection of People Flow Data in Taiwan	國科會 NSTC	2018/12/01~ 2021/11/30	R.A.
基於新型態適地性社群網路之緊急醫療事件探知及其數據分析演算法(I) Emergency Medical Events Discovery and Data Analysis Algorithms Based on Novel Location-Based Social Networks(I)	國科會 NSTC	2018/08/01~ 2019/08/31	R.A.
基於天際線查詢與系統鑒別技術之社群網路稀疏資料庫建置之研究(大專生計畫) Based on Skyline Query and System Identification Technology Construct a Sparse Social Network Database	國科會 NSTC	2016/07/01~ 2017/02/28	R.A.
基於系統鑒別技術、雲端計算與自願性地理資訊之即時淹水潛勢圖的建置，以及即時淹水潛勢圖線上查詢服務 Building Real-Time Flood Inundation Maps based on System Identification, Cloud Computing and Volunteered Geographic Information, and the Development of a Flood Risk Online Search System	國科會 NSTC	2016/08/01~ 2017/07/31	R.A.
利用系統鑑別技巧提升巨量時空資料查詢的效率 Efficient promotion of querying the big spatio-temporal data by using the techniques of system identification	國科會 NSTC	2015/08/01~ 2016/07/31	R.A.

🤝 Collaboration Projects | 產學合作計畫

Project Title	Institution	Duration	Role
AI動態產能管制系統 AI-Driven Production Planning and Control	喬崴進科技股份有限公司 Vision Wide Tech Co.,Ltd.	2025/09~2026/08	主持人P.I.
用於自我監督健康管理的互動式App Interactive Mobile App for Self-Supervised Health Management	台大醫院雲林分院 NTU Hospital	2021/01~2021/12	技術負責人 Technical Lead
具廣泛性及即時監控之機械加工廠大量刀具管理暨壽命監控預測系統 Comprehensive Mass Tool Management and Life Prediction System with Real-Time Monitoring	翔程科技 MANUTEQ	2019/11~2020/10	合作研究員 Collaborating PI
人流資料處理與分析 Crowd Flow Data Processing and Analysis	國家災害防救科技中心 NCDR	2019/11~2020/02	研究助理 R.A.
加注設備之線上管理服務系統 Online Management Service System for Filling Equipment	統一石化股份有限公司 Prosperco Petrochemical Inc.	2019/11~2020/06	技術負責人 Technical Lead
結合深度學習演算法之刀具磨耗推估研究 Research on Tool Wear Estimation Based on Deep Learning	精密機械研究發展中心 Precision Machinery R&D Center (PMC)	2019/03~2019/11	研究助理 R.A.
利用深度學習模型擷取PM2.5與慢性腎臟病間的關鍵因子 Using Deep Learning Models to Extract Key Features Between PM2.5 and Chronic Kidney Disease	台大醫院雲林分院 NTU Hospital	2019/01~2019/12	技術負責人 Technical Lead

Research

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✨ Research Directions

1. Customized Neural Network Design

Research in this area centers on the design and development of customized neural network architectures tailored to a wide range of domain-specific applications. The focus is on building models that are not only accurate and robust but also lightweight, interpretable, and efficient—enabling practical deployment in real-world, resource-constrained environments.
Suitable roles: AI/ML Engineer, AI/ML Researcher

2. Explainable Artificial Intelligence (XAI)

A major theme of our recent work involves the pursuit of explainable artificial intelligence (XAI), which aims to enhance the transparency of AI decision-making processes. By offering insights into why and how models make decisions, XAI facilitates the development of systems that are easier to adapt and optimize across different devices, scenarios, and data distributions, thereby improving both operational efficiency and generalization capabilities.
Suitable roles: AI Researcher, Data Scientist, Model Optimization Engineer

3. Databases and Data Mining

This line of research focuses on the development of efficient algorithms and systems for managing and analyzing large-scale datasets. Key efforts include optimizing similarity search, query processing, and real-time data retrieval. In parallel, we leverage advanced data mining techniques to uncover meaningful patterns and actionable insights from complex, high-dimensional data.
Suitable roles: Algorithm Engineer, Data Scientist, Big Data Engineer

4. Software Systems Development

We build robust software systems that integrate our models and algorithms to support practical applications across a variety of domains. These systems provide interactive tools and automated frameworks for monitoring, prediction, and decision support. Many of these systems are developed in collaboration with domain experts and industry partners, including National Taiwan University Hospital and Vision Wide Tech, to ensure real-world relevance and validated impact. Suitable roles: Software Engineer, System Integration Engineer, Full Stack Developer

🌐 Application Domains

We apply our research across diverse domains, fostering interdisciplinary exploration:

Smart Manufacturing and IoT: Encompasses CNC machine data, production scheduling, and process optimization.
Spatio-temporal data: Focuses on modeling and analyzing dynamic patterns across space and time, including traffic flow, human mobility, public transportation, and environmental trends.
Medical data: Covers disease diagnosis modeling, clinical decision support, and related data analytics.
Other domains: Students are encouraged to propose their areas of interest, with full support provided by the advisor.

Sheng-Min Chiu on AIIS Lab

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IEEE ICASI 2026 in Kyoto, Japan

About

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Courses

2026 Spring (114-2)

Graduate 研究所

undergraduate 大學部

2025 Fall (114-1)

undergraduate 大學部

2025 Spring (113-2)

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undergraduate 大學部

Director

邱勝敏 助理教授Asst. Prof. Sheng-Min Sam Chiu

📖 Biography

💼 Experience

🏆 Awards

📧 Contact

🔗 Social Links

Members

Current Members

MS Students

Interns

Bachelor Students (NSYSU)

Bachelor Students (NUU)

Projects

📝 Research Projects | 研究計畫

🤝 Collaboration Projects | 產學合作計畫

Research

✨ Research Directions

1. Customized Neural Network Design

2. Explainable Artificial Intelligence (XAI)

3. Databases and Data Mining

4. Software Systems Development

🌐 Application Domains

邱勝敏助理教授
Asst. Prof. Sheng-Min Sam Chiu