Nice talks on AI, geopolitics, optimization, SCM, and more

Harvard University, Ronny Chieng Address | Harvard Class Day 2026, 2026/5/30 (Ronny Chieng)

一些常聽的 Podcast 節目和培養英文聽力的方法

一些常聽的 Podcast 節目 (*)，適合坐車、(讓眼睛) 休息、睡前、或運動時聽 (Some frequently listened-to podcasts (*) suitable for listening while traveling, giving your eyes a rest, before bed, or during exercise.) 

• Acquired (You could look at its transcript using iPhone.)
• Google Part III: The AI Company 
• I am listening to it the third time to fill in some missed details.
• In a rapidly changing world, learning how technology, corporations, and uncertainty management interact is essential.
• Hinton did split the money fairly with his students, so the message in the podcast is incorrect.
• Google search: Stories about its technology and business model
• How ARM Became The World’s Default Chip Architecture (with ARM CEO Rene Haas)
• The Complete History & Strategy of Microsoft: Vol. I, Vol. II 
• Renaissance Technologies: The best-performing investment firm of all time. A book. The hosts even talk about the hidden Markov process!
• TSMC Founder Morris Chang
• American Public Media: Marketplace
• Asianometry: Global Semiconductor Issues, Semiconductor "Course", TSMC Analysis
  

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.

作業研究競賽題目

Please cite this webpage if you use the material/method in this blog. Thank you. (如果您使用本部落格中的資料/方法，請註明此來源網頁。謝謝。)

• Some papers/information for idea generation or implementation

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。

上課內容 (Teaching)

許志華，中原大學，電機資訊學院，工業與系統工程學系

• Please use the school's MS team account for online sessions. 
• Login Account: 學號@o365st.cycu.edu.tw, student_ID@o365st.cycu.edu.tw
• Please use browser-based login instead of the application program to avoid login problems.
• Please be considerate/polite, and show up only during the office hours of a course. The students in the lab need quiet time for their studies and research. 
• 講義上有的內容，請同學要先查看或聽影片。有問題或疑義，再詢問助教。
• Email: If you have further questions, please email the TA. (cc (副本) teacher: chhsu135 at Gmail) TA will handle your questions or concerns. TA will discuss with me if she/he cannot resolve the issues.
• 2026 春 (Spring)
• Nonlinear Optimization (非線性最佳化)，博士班 (PhD)
• Form for you to fill in
• 助教：廖庭煜 (Angus)
• 作業研究 (下)，工業三丙
• 登記，課前預習和每週進度
• 助教：蔡豐安 (Frank) (email: ann3866631 at Gmail)，呂苑馳 (Lucas) (email:  lcc11301108 at Gmail) 
• 辦公室時間：呂苑馳，莊敬 302， (一)  3 - 4 pm，(四) 1 - 2 pm

• 中原隨筆 (My days at CYCU)
• 翻轉教室 (Flipped classroom)：工業系 許某教授，什麼是『大學生』
• 課程組員互評表 (Evaluation form for team members)
• Deadline: the day for the last class meeting time
• Default: If no one answers, everyone will get the same score for project participation.  If only 1 person fills in the form, we will use that as the group score for project participation.
• The best way to contact me (email):  chhsu135 AT gmail DOT com (主旨：修課名稱和班級，學號，姓名) (Subject: Class, student ID, Name)
• 辦公室 (My office)：(工業系館) 莊敬大樓 (Building no. 23 for ISE) 201-3，電話 (phone)  03 265 4427。辦公室時間，四 3 - 5:50 pm (歡迎使用 Microsoft team)。導生 (分組登記)。FB，Threads。

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.

工業工程總結實踐

建議

作業與資訊 (Homework and Information)

作業研究和機器學習

課程

• 作業研究 (上): 3.8 迴歸，11.2 迴歸，12.3.1 類神經
• Google Scholar: generative ai optimization
• 作業研究 (下): 2 Robust Optimization (穩健最佳化)，3 適應穩健最佳化，5 資料驅動的報童模型
• Applications in generative AI: diffusion probabilistic models 
• Dmytro Kuzmenko, Denoising diffusion probabilistic models
• Lilian Weng, What are Diffusion Models?
• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568.
• 最佳化和機器學習：

  機器學習和作業研究的奇妙結合

The Batch by A. Ng

weekly summary of AI and more by a. Ng. Free subscription and enjoy reading/Listening like I  do.

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• issue 309: Inside Walmart’s AI App Factory (Walmart is no. 1 company in revenue.
• )

• Large scale system: The system aggregates data generated by 240 million customers and 2 million store personnel, feeding applications that streamline operations among 100,000 suppliers, 150 distributors, and 10,000 retail venues in 19 countries.

雷鋒網，年終收藏，吳恩達盤點 2020 年度 AI 熱門事件，2020 年 12 月 31 日

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

張忠謀自傳 (下冊)

 張忠謀，《張忠謀自傳》下冊 (1964-2018)，天下，2024 

 「下冊」的第一篇「德儀篇」占全書三分之一篇幅，敘述我自 27 歲至 52 歲黃金年齡的崛起及衰退。德儀時期也是我最為熱情澎湃的年代。德儀讓我「獨上高樓，望盡天涯路」；為此，我無比地感激。但是，它對我的培植也激發了我要登上德儀顛峰的雄心。但是，這雄心是無法實現的；不說別的，只看 1970 年代美國德克薩斯州的客觀環境，就可斷定我的雄心很難很難實現。但是我的痴心，居然使我「明知不可為」的情況下，還在德儀多滯留了 5、6 年，後來連婚姻都賠上了。現在回想，那 5、6 年是多麼絕望的 5、6 年！

Some information and papers related to the seminar

(4/9/2025) 許志華 (The original speaker needs to take care of emergency affairs.)

• Dimitris Bertsimas and Michael Lingzhi Li, Scalable holistic linear regression, Operations Research Letters, Volume 48, Issue 3, May 2020, Pages 203-208.
• We could not reproduce their results in the paper, so I asked Prof. Li for his code. He told me he finished the paper as a course project (MIT style?!😂), and the codes were stored on another obsolete hard drive. 
  

電路和電子學的產業知識

工業與系統工程學系隸屬於電機資訊學院，所以系上同學們都要修習電路學和電子學相關的課程。在電機系，這些是非常重要的基礎知識；而且，從 IC 設計、晶圓代工、到封裝測試，台灣有許多世界級的領導廠商，所以，值得同學們好好地學習相關的知識。更多資訊。

TaiwanPlus Docs, Inside Micron Taiwan’s Semiconductor Factory (美國美光科技在台灣的工廠，稱為外國直接投資 (Foreign direct investment, FDI))

以下介紹一些科普和整體產業的書籍和影片，希望可以增加同學們的學習動機，並且增加職涯發展的機會：

台積電建廠的選擇

 Yale Engineering Dean's Invited Speaker Series featuring C.C. Wei (魏哲家), CEO, TSMC, 2023/11/15

Robust Optimization Webinar

This is the youtube channel for the Robust Optimization Webinar (ROW) organized by Ahmadreza Marandi (TU Eindhoven) and Jannis Kurtz (University of Amsterdam). (Speaker)

Neural Coordination and Capacity Control for Inventory Management

C Eisenach, U Ghai, D Madeka, K Torkkola, D Foster, S Kakade, Neural Coordination and Capacity Control for Inventory Management, 2024, arXiv preprint arXiv:2410.02817. (SCOT, Amazon)

Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital

Liangyuan Na, Jean Pauphilet, Ali Haddad-Sisakht, Louis Raison, Audrey Silver, Patricia Veronneau, Nicole Vogt, Dimitris Bertsimas (2024) Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital. INFORMS Journal on Applied Analytics.

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)

Amazon Locker Capacity Management

Samyukta Sethuraman, Ankur Bansal, Setareh Mardan, Mauricio G. C. Resende, Timothy L. Jacobs (2024) Amazon Locker Capacity Management. INFORMS Journal on Applied Analytics.