Ai-Based Image and Video Coding: Methods, Standards, and Applications
暫譯: 基於AI的影像與影片編碼：方法、標準與應用

Wei Gao is an Assistant Professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. He earned his Ph.D. in Computer Science from the City University of Hong Kong in February 2017. Dr. Gao's research focuses on multimedia coding, multimedia processing, and multimodal learning, areas directly relevant to the topics explored in this book.

With over 160 high-quality technical papers published, Dr. Gao has contributed significantly to multimedia coding standardization, submitting more than 50 technical proposals. He is the author or co-author of two influential books, and is an elected member of the IEEE Visual Signal Processing and Communications Technical Committee (VSPC-TC), and APSIPA Image Video and Multimedia Technical Committee (IVM-TC). He serves on the editorial board of Elsevier Signal Processing, and has organized workshops at prominent conferences such as IEEE ICME and ACM MM.

In addition to his academic achievements, Dr. Gao leads several open-source projects, including OpenAICoding, OpenPointCloud, and OpenDatasets, providing valuable resources for the research community. As a Senior Member of IEEE, he is also a frequent speaker at international conferences, where he shares his expertise on deep learning and multimedia technologies.

高偉是中國北京大學深圳校區電子與計算機工程學院的助理教授。他於2017年2月在香港城市大學獲得計算機科學博士學位。高博士的研究專注於多媒體編碼、多媒體處理和多模態學習，這些領域與本書探討的主題直接相關。

高博士已發表超過160篇高品質的技術論文，對多媒體編碼標準化做出了重要貢獻，提交了超過50項技術提案。他是兩本有影響力的書籍的作者或合著者，並且是IEEE視覺信號處理與通信技術委員會（VSPC-TC）和APSIPA影像視頻與多媒體技術委員會（IVM-TC）的當選成員。他還擔任Elsevier Signal Processing的編輯委員會成員，並在IEEE ICME和ACM MM等重要會議上組織工作坊。

除了學術成就外，高博士還領導幾個開源項目，包括OpenAICoding、OpenPointCloud和OpenDatasets，為研究社群提供了寶貴的資源。作為IEEE的資深會員，他也是國際會議的常客演講者，分享他在深度學習和多媒體技術方面的專業知識。