AI for Time Series: Volume 2: Building Robust and Generalizable Models
暫譯: 時間序列的人工智慧：第二卷：構建穩健且具通用性的模型

這本書深入探討了人工智慧在一般時間序列分析、分佈轉移和基礎模型方面的最新創新。

Dr. Min Wu is currently a Principal Scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. He received his Ph.D. degree in Computer Science from Nanyang Technological University (NTU), Singapore, in 2011 and B.E. degree in Computer Science from University of Science and Technology of China (USTC) in 2006. He received the best paper awards in IEEE ICIEA 2022, IEEE SmartCity 2022, InCoB 2016 and DASFAA 2015. He also won the CVPR UG2+ challenge in 2021 and the IJCAI competition on repeated buyers prediction in 2015. He has been serving as an Associate Editor for journals like Neurocomputing, Neural Networks and IEEE Transactions on Cognitive and Developmental Systems, as well as conference area chairs of leading AI and machine learning conferences, such as ICLR, NeurIPS, etc. His current research interests focus on AI and machine learning for time series data, such as deep learning, self-supervised learning, domain adaptation, and knowledge distillation for time series data.

Prof. Emadeldeen Eldele received his B.Sc. and M.Sc. degrees in Computer Engineering from the Faculty of Engineering, Tanta University, Egypt, in 2012 and 2018, respectively. He was awarded the Singapore International Graduate Award (SINGA) to pursue his Ph.D. at the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, which he completed in 2023. Currently, he is an Assistant Professor at Khalifa University, UAE. He received the IEEE Engineering in Medicine and Biology Prize Paper Award in 2023. He serves as a Guest Editor for Sensors Journal and as a Program Committee member for top conferences such as ICLR, AAAI, and ICDM. His research interests include the robustness of deep learning models against challenges such as label scarcity and domain shift. He is also interested in time series data and its applications in neuroscience and predictive maintenance.

Prof. Zhenghua Chen received the B.Eng. degree in mechatronics engineering from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2011, and Ph.D. degree in electrical and electronic engineering from Nanyang Technological University (NTU), Singapore, in 2017. Currently, he is a Senior Lecture (Associate Professor) at University of Glasgow, UK. He has won several competitive awards, such as First Place Winner for CVPR 2021 UG2+ Challenge, A*STAR Career Development Award, First Runner-Up Award for Grand Challenge at IEEE VCIP 2020, Best Paper Award at IEEE ICIEA 2022 and IEEE SmartCity 2022, etc. He serves as Associate Editor-in-Chief for Neurocomputing, and Associate Editor for IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Cyber-Physical Systems, IEEE Sensors Journal, and Springer Discover Artificial Intelligence. He is currently the Chair of IEEE Sensors Council Singapore Chapter and IEEE Senior Member. His research interests include data-efficient and model-efficient learning with related applications in smart city and smart manufacturing.

Prof. Shirui Pan is a Professor and an ARC Future Fellow with the School of Information and Communication Technology, Griffith University, Australia. He is a Co-Director of TrustAGI Lab. Before joining Griffith in 2022, he was Senior Lecturer (Associate Professor) with the Faculty of Information Technology, Monash University. He received his Ph.D degree in computer science from University of Technology Sydney (UTS), Australia. He is a Fellow of Queensland Academy of Arts and Sciences (FQA). Shirui's research focuses on artificial intelligence and machine learning. His research has been published in top conferences and journals including Nature Machine Intelligence, NeurIPS, ICML, KDD, TPAMI, TNNLS, and TKDE, attracting over 30k citations. He is recognised as one of the AI 2000 AAAI/IJCAI Most Influential Scholars, and one of the World's Top 2% Scientists. His research received the 2020 IEEE ICDM Best Student Paper Award (2020) and the 2024 IEEE CIS TNNLS Outstanding Paper Award.

Dr. Qingsong Wen is currently the Head of AI & Chief Scientist at Squirrel Ai Learning, and PhD Supervisor at University of Oxford. Before that, he worked at Alibaba, Qualcomm, Marvell, etc., and received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, USA. His research interests include machine learning, data mining, and signal processing, especially AI for Time Series, AI for Education, LLM & AI Agent. He has published over 150 top-ranked AI conference and journal papers, had multiple Oral/Spotlight Papers at NeurIPS, ICML, ICLR, ACL, AAAI, had multiple Most Influential Papers at IJCAI, received multiple IAAI Innovative Application Awards at AAAI, and won First Place of SP Grand Challenge at ICASSP. He also regularly serves as Area Chair of the top conferences including NeurIPS, ICML, ICLR, KDD, IJCAI, ICASSP, etc, and Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence.

Prof. Xiaoli Li is currently Head of the Information Systems Technology and Design (ISTD) Pillar at Singapore University of Technology and Design (SUTD). Before joining SUTD, he was the Department Head and Senior Principal Scientist at the Institute for Infocomm Research, A*STAR, Singapore. With a diverse range of research interests, Xiaoli focuses on cutting-edge areas such as AI, data mining, machine learning, and bioinformatics. His contributions to these fields are evident through his extensive publication record, boasting over 350 peer-reviewed papers, and the recognition he has received, including over ten best paper awards. He has been serving as Editor-in-chief of the Annual Review of Artificial Intelligence and an Associate Editor for prestigious journals like IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems, as well as conference chairs and area chairs of leading AI, machine learning, and data science conferences, such as AAAI, IJCAI, ICLR, NeurIPS, KDD, ICDM etc. Beyond academia, Xiaoli possesses extensive industry experience, where he has successfully spearheaded over 10 R&D projects in collaboration with major industry players across diverse sectors, such as aerospace, telecom, insurance, and professional service companies. Xiaoli is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). He has been recognized as one of the world's top 2% scientists in the AI domain by Stanford University.

**吳敏博士**目前是新加坡科學技術研究局（A*STAR）資訊通信研究所（I2R）的首席科學家。他於2011年在新加坡南洋理工大學（NTU）獲得計算機科學博士學位，並於2006年在中國科學技術大學（USTC）獲得計算機科學學士學位。他在IEEE ICIEA 2022、IEEE SmartCity 2022、InCoB 2016和DASFAA 2015中獲得最佳論文獎。他還在2021年贏得CVPR UG2+挑戰賽，並在2015年獲得IJCAI重複購買者預測競賽的獎項。他曾擔任《Neurocomputing》、《Neural Networks》和《IEEE Transactions on Cognitive and Developmental Systems》等期刊的副編輯，並擔任ICLR、NeurIPS等領先的人工智慧和機器學習會議的區域主席。他目前的研究興趣集中在時間序列數據的人工智慧和機器學習上，包括深度學習、自我監督學習、領域適應和知識蒸餾等。

**Emadeldeen Eldele教授**於2012年和2018年分別在埃及坦塔大學工程學院獲得計算機工程學士和碩士學位。他獲得新加坡國際研究生獎學金（SINGA）以在新加坡南洋理工大學（NTU）攻讀博士學位，並於2023年完成學業。目前，他是阿聯酋哈利法大學的助理教授。他於2023年獲得IEEE醫學與生物工程獎論文獎。他擔任《Sensors Journal》的客座編輯，並作為ICLR、AAAI和ICDM等頂級會議的程序委員會成員。他的研究興趣包括深度學習模型在標籤稀缺和領域轉移等挑戰下的穩健性。他還對時間序列數據及其在神經科學和預測性維護中的應用感興趣。

**陳正華教授**於2011年在中國電子科技大學（UESTC）獲得機電工程學士學位，並於2017年在新加坡南洋理工大學（NTU）獲得電氣與電子工程博士學位。目前，他是英國格拉斯哥大學的高級講師（副教授）。他獲得了多個競賽獎項，如CVPR 2021 UG2+挑戰賽第一名、A*STAR職業發展獎、IEEE VCIP 2020大挑戰亞軍、IEEE ICIEA 2022和IEEE SmartCity 2022最佳論文獎等。他擔任《Neurocomputing》的副主編，以及《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Instrumentation and Measurement》、《IEEE Transactions on Industrial Cyber-Physical Systems》、《IEEE Sensors Journal》和《Springer Discover Artificial Intelligence》的副編輯。他目前是IEEE Sensors Council新加坡分會的主席及IEEE資深會員。他的研究興趣包括數據高效和模型高效學習，並與智慧城市和智慧製造相關的應用。

**潘士瑞教授**是澳大利亞格里菲斯大學資訊與通信技術學院的教授及ARC未來研究員。他是TrustAGI實驗室的共同主任。在2022年加入格里菲斯之前，他曾擔任莫納什大學資訊技術學院的高級講師（副教授）。他在澳大利亞悉尼科技大學（UTS）獲得計算機科學博士學位。他是昆士蘭藝術與科學學院的院士（FQA）。士瑞的研究專注於人工智慧和機器學習。他的研究成果發表在包括《Nature Machine Intelligence》、《NeurIPS》、《ICML》、《KDD》、《TPAMI》、《TNNLS》和《TKDE》等頂級會議和期刊上，引用次數超過3萬次。他被認定為AI 2000 AAAI/IJCAI最具影響力學者之一，以及全球前2%的科學家之一。他的研究獲得2020年IEEE ICDM最佳學生論文獎和2024年IEEE CIS TNNLS傑出論文獎。

**文青松博士**目前是Squirrel Ai Learning的AI部門負責人及首席科學家，並在牛津大學擔任博士生導師。在此之前，他曾在阿里巴巴、高通、Marvell等公司工作，並在美國喬治亞理工學院獲得電氣與計算機工程碩士和博士學位。他的研究興趣包括機器學習、數據挖掘和信號處理，特別是時間序列的AI、教育的AI、LLM和AI代理。他已發表超過150篇頂級AI會議和期刊論文，在NeurIPS、ICML、ICLR、ACL、AAAI等會議上有多篇口頭/聚光燈論文，並在IJCAI上有多篇最具影響力的論文，獲得AAAI的多個IAAI創新應用獎，並在ICASSP的SP大挑戰中獲得第一名。他還定期擔任NeurIPS、ICML、ICLR、KDD、IJCAI、ICASSP等頂級會議的區域主席，以及《IEEE Transactions on Pattern Analysis and Machine Intelligence》的副編輯。

**李小利教授**目前是新加坡科技設計大學（SUTD）資訊系統技術與設計（ISTD）支柱的負責人。在加入SUTD之前，他曾是新加坡科學技術研究局（A*STAR）資訊通信研究所的部門負責人和高級首席科學家。李小利的研究興趣範圍廣泛，專注於人工智慧、數據挖掘、機器學習和生物信息學等前沿領域。他在這些領域的貢獻通過其超過350篇的同行評審論文和十多個最佳論文獎得到了體現。他擔任《Annual Review of Artificial Intelligence》的主編，以及《IEEE Transactions on Artificial Intelligence》和《Knowledge and Information Systems》等知名期刊的副編輯，並擔任AAAI、IJCAI、ICLR、NeurIPS、KDD、ICDM等領先的人工智慧、機器學習和數據科學會議的會議主席和區域主席。除了學術界，李小利還擁有豐富的行業經驗，成功主導了與航空航天、電信、保險和專業服務公司等主要行業參與者合作的10多個研發項目。李小利是IEEE會士和亞太人工智慧協會（AAIA）會士。他被斯坦福大學認定為全球AI領域前2%的科學家之一。