Intent Recognition for Human-Machine Interactions
暫譯: 人機互動中的意圖識別

自然互動是人機互動中最熱門的研究議題之一。目前，智能設備（服務機器人、虛擬人類等）迫切需要能夠理解互動對話中的意圖。本書專注於基於深度學習方法的人機理解，系統性地向讀者介紹人機對話中的意圖識別、未知意圖檢測和新意圖發現。本書是首部在自然互動背景下呈現互動對話意圖分析的著作。除了幫助讀者掌握人機對話意圖分析的關鍵技術和概念，並跟上最新進展外，還提供了進一步研究的寶貴參考資料。

Hua Xu is a leading expert on multi-modal natural interaction for service robots, evolutionary learning, and intelligent optimization. He is currently a tenured associate professor at Tsinghua University, editor-in-chief of Intelligent Systems with Applications, and associate editor of Expert Systems with Application. Prof. Xu has authored the Chinese books "Data Mining: Methodology and Applications" (2014), "Data Mining: Methods and Applications-Application Cases" (2017), "Evolutionary Machine Learning" (2021), "Data Mining: Methodology and Applications" (2nd edition) (2022), "Natural Interaction for Tri-Co Robots (1) Human-machine Dialogue Intention Understanding" (2022) and "Natural Interaction for Tri-Co Robots (2) Sentiment Analysis of Multimodal Interaction Information" (2023), and published more than 140 papers in top-tier international journals and conferences. He is a core expert of the No. 3 National Science and Technology Major Project of the Ministry of Industry and Information Technology of China, senior member of CCF, member of CAAI and ACM, vice chairman of Tsinghua Collaborative Innovation Alliance of Robotics and Industry, and recipient of numerous awards, including the Second Prize of National Award for Progress in Science and Technology, the First Prize for Technological Invention of CFLP, and First Prize for Science and Technology Progress of CFLP.

Hanlei Zhang obtained his BS degree from the Department of Computer Science and Technology at Beijing Jiaotong University in 2020. He is currently pursuing a PhD in the Department of Computer Science and Technology at Tsinghua University. His research goal focuses on analyzing human intentions in real-world scenarios. Hanlei has published five first-authored peer-reviewed papers in top-tier international conferences and journals, including AAAI, ACM MM, ACL, and IEEE/ACM TASLP. His research interests encompass various areas such as intent analysis, open world classification, clustering, multimodal language understanding, and natural language processing. During his undergraduate studies, Hanlei was the recipient of the National Scholarship twice and was also recognized as a Beijing Excellent graduate. During his PhD career, he has received the first prize of the overall excellence scholarship twice and has been nominated for the Apple Scholars in AL/ML.

Ting-En Lin stands at the forefront of Conversational AI as a senior researcher at Alibaba's prestigious DAMO Academy. With an unwavering commitment to advancing the field of natural language processing, Tony has made significant strides in multimodal understanding, shaping the future of human-computer interaction. Educated at renowned institutions, Tony earned his Bachelor's degree in Electrical and Computer Engineering from National Chiao Tung University (NCTU) before pursuing his MPhil in Computer Science and Technology at Tsinghua University (THU). Under the guidance of Prof. Hua Xu, Tony honed his expertise and embarked on a fruitful research career. As a prolific contributor to the AI community, Tony has published numerous papers in leading conferences such as ACL, EMNLP, KDD, SIGIR, and AAAI. He is also a dedicated member of the program committee, ensuring the growth and development of the field.

徐華是服務機器人多模態自然互動、演化學習和智能優化的領先專家。他目前是清華大學的終身副教授、《Intelligent Systems with Applications》的主編，以及《Expert Systems with Application》的副編輯。徐教授著有中文書籍《資料探勘：方法論與應用》（2014年）、《資料探勘：方法與應用-應用案例》（2017年）、《演化機器學習》（2021年）、《資料探勘：方法論與應用》（第二版）（2022年）、《三合一機器人自然互動（1）人機對話意圖理解》（2022年）和《三合一機器人自然互動（2）多模態互動信息的情感分析》（2023年），並在頂級國際期刊和會議上發表了超過140篇論文。他是中國工業和信息化部第三項國家科技重大專案的核心專家，CCF的高級會員，CAAI和ACM的成員，清華大學機器人與產業協同創新聯盟的副主席，並獲得多項獎項，包括國家科技進步獎的二等獎、CFLP的技術發明一等獎和CFLP的科技進步一等獎。

張漢雷於2020年獲得北京交通大學計算機科學與技術系的學士學位。他目前在清華大學計算機科學與技術系攻讀博士學位。他的研究目標專注於分析現實場景中的人類意圖。漢雷在頂級國際會議和期刊上發表了五篇第一作者的同行評審論文，包括AAAI、ACM MM、ACL和IEEE/ACM TASLP。他的研究興趣涵蓋意圖分析、開放世界分類、聚類、多模態語言理解和自然語言處理等多個領域。在本科期間，漢雷曾兩次獲得國家獎學金，並被評為北京優秀畢業生。在博士生涯中，他兩次獲得整體優秀獎學金的一等獎，並被提名為Apple Scholars in AL/ML。

林廷恩作為阿里巴巴著名的達摩院的高級研究員，站在對話式人工智慧的最前沿。林廷恩對推進自然語言處理領域的堅定承諾，使他在多模態理解方面取得了顯著進展，塑造了人機互動的未來。林廷恩在知名機構接受教育，獲得國立交通大學（NCTU）電機與計算機工程學士學位，隨後在清華大學（THU）攻讀計算機科學與技術的碩士學位。在徐華教授的指導下，林廷恩磨練了自己的專業技能，並展開了豐碩的研究生涯。作為人工智慧社群的多產貢獻者，林廷恩在ACL、EMNLP、KDD、SIGIR和AAAI等領先會議上發表了多篇論文。他也是程序委員會的專注成員，確保該領域的成長與發展。