Use LLM (e.g., ChatGPT) to learn *** and its impact

Research

• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568. 

Nonlinear Optimization (非線性最佳化)

• Course objective: Nonlinear optimization is widely used in engineering, business, data science, and machine learning. We will introduce fundamental algorithms through examples in this course, enabling students to read research articles, formulate their own problems, and solve them efficiently using the appropriate algorithms.

作業研究期末報告

優秀作品 (內容和投影片製作)

• 廖庭煜、陳秉均、汪志剛，儲能整合應用規劃 (pdf，2022 秋作業研究 (上)。清楚說明，問題和數學與程式的對應關係) 
• 王喬誼、潘幸慈、許雅婷：Trading Strategy in the book Python for finance by Yves Hilpisch (pdf，2023 春作業研究 (下)。將一般的方法移到後面。只報告複雜的方法，以便在八分鐘內完成)

研究 (Research)

Conference papers:

• C.-H. Hsu and T.-Y. Liao,  Enhanced holistic regression for multicollinearity detection and feature selection, Available at SSRN, 2025. (code)
• 廖庭煜、維琪、許志華、饒忻，增強不確定性下的決策：結合 TRIZ 和機器學習方法的穩健優化框架，2025 系統性創新研討會暨專案競賽，論文競賽獎第一名 (code)

Journal articles:

• P.S. Chen, J. Lyu,  C.W. Chen, I.H. Yu, and C.H. Hsu, The social-economic value of a renewable energy power generation and energy storage system: A case study, International Journal of Systems Science: Operations & Logistics, 2026, vol.13, p.1-22.
• H.-A. Bui, C.-H. Hsu, H.-W.V. Young, Y.-Y. Chen, and Y.-A. Liou, Advanced Semi-Supervised Learning for Remote Sensing-Based Land Cover Classification in the Mekong River Delta, Vietnam, Remote Sensing, 2026, 18, 989. https://doi.org/10.3390/rs18070989.

預備研究生 (4 + 1) (包含資料科學相關研究所和職涯準備)

預備研究生規定 (資訊處，新增加同學的問題)

• 培養
• 商業分析實驗室 (Business Analytics Laboratory)：論文。
• 人少，老師 (每週) 單獨討論。學生的光，老師看得見。
• 根據經驗，班排不是一個絕對的指標。重點在於想要 (投入時間) 改變自己。
• 可詢問庭煜，準時畢業且有良好的研究成果。建議從三下開始；庭煜從三下準備校外機器學習競賽、暑假實習和我做研究。

Guides for graduate students and my Laboratory members

Knowledge to master for a better foundation (and future)

Tools and general: 

•  Adi Ignatius, “We Want to Make Ourselves Better”: The HBR Interview with Bob Sternfels, Harvard Business Review, January–February 2026.  (new)

Some books and information on machine learning and AI

General introduction (without math)

• 簡禎富，工業3.5：台灣企業邁向智慧製造與數位決策的戰略，天下雜誌，2019
• Alex J. Gutman and Jordan Goldmeier, Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Wiley, 2021.

Data-Driven Science and Engineering

Steven L. Brunton and J. Nathan Kutz, Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, 2nd edition, Cambridge University Press (pdf, amazing videos, connection with dynamical systems in engineering)

專題和論文的製作與報告 (tips for the final project and your thesis)

• (at the bottom) Avoid common phenomena, final written report (for your ppt content)
• (大學生) 重要任務

• 人生困境：

• 計算機程式補考後的人生 (1/2) 

• 我的方法：運動，音樂 (馬友友)，閱讀 (哲學，堅忍的挑戰，老莊)

• Tal Ben-Shahar, Happier: Learn the Secrets to Daily Joy and Lasting Fulfillment, McGraw Hill, 2007. (譚家瑜譯，更快樂：哈佛最受歡迎的一堂課，天下雜誌，2012)

服務和計畫 (Service and projects)

政府計畫 (Government project)

• 國科會，公平最佳決策樹和其應用 (Fair and Optimal Decision Tree and Its Applications)，主持人 (PI)，114年度 (2025/8 - 2026/7)

產學合作 (Industry-Academia Cooperation)

• 金屬工業研究發展中心 (Metal Industries Research & Development Centre)，最佳化決策於工站排程應用之研究 (Optimal decision-making in work station scheduling) (3)，主持人 (PI)，2024

到高中介紹作業研究 (和適性教育、選填大學志願)

臺北市立陽明高級中學，作業研究，2023/11/30。適性教育、AI 和作業研究，2024/2/22。 (簽到和提問)

學生問題之回答

(線性代數) 影像壓縮和工業系

 

Source by Frank Cleary

看得出來兩張圖片的差別？

Data-Driven Performance Guarantees for Classical and Learned Optimizers

R. Sambharya and B. Stellato, Data-Driven Performance Guarantees for Classical and Learned Optimizers, arXiv e-prints:2404.13831,2024. (Python code)

Learning production functions for supply chains with graph neural networks

Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec, Learning production functions for supply chains with graph neural networks, arXiv:2407.18772. (Python code)

Chip Placement with Diffusion

Vint Lee, Chun Deng, Leena Elzeiny, Pieter Abbeel, and John Wawrzynek, Chip Placement with Diffusion, arXiv:2407.12282.

Optimization of Optimal Sparse Decision Trees

Cynthia Rudin, Optimization of Optimal Sparse Decision Trees

End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Bo Tang and Elias B. Khalil, PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming, arXiv:2206.14234v2.

Catastrophe Insurance Pricing

C. Zeng and D. Bertsimas, Catastrophe Insurance Pricing: A Robust Optimization Approach, In preparation for Management Science, 2023. 

Applications of Operations Research (作業研究) (including Optimization)

為了提高同學們的學習動機，提供以下相關的資訊，以幫助同學們找到方向。也和暑期實習和未來就業中，決策支援系統中的演算法有密切關聯。以下許多的內容屬於碩博士階段的課程，也可以增加同學們就讀研究所的動機：

• Journals: 
• INFORMS Journal on Applied Analytics
• INFORMS is the leading international association for Operations Research & Analytics professionals.
• The mission of INFORMS Journal on Applied Analytics is to publish manuscripts focusing on the practice of operations research and management science and the impact this practice has on organizations throughout the world. 
• Good topics to be explored for the final project
• Ramayya Krishnan and Pascal Van Hentenryck, editors, Advances in Integrating AI & O.R., INFORMS EC2021, Volume 16, April 19, 2021.

Machine-Guided Discovery of a Real-World Rogue Wave (瘋狗浪) Model

台北天文館，AI 找到如何預測巨浪的公式，2023 年 12 月 02 日 

Dion Häfner, Johannes Gemmrich, Markus Jochum, Machine-Guided Discovery of a Real-World Rogue Wave Model,  Proceedings of the National Academy of Sciences (2023), 120(48). (arXiv, data, code)