Probabilistic Topic Models: Foundation and Application
Jiang, Di, Zhang, Chen, Song, Yuanfeng
- 出版商: Springer
- 出版日期: 2024-06-09
- 售價: $7,050
- 貴賓價: 9.5 折 $6,698
- 語言: 英文
- 頁數: 149
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819924332
- ISBN-13: 9789819924332
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作者簡介
Di Jiang works as principal scientist and engineering manager at WeBank AI. His research interests include text mining, speech processing, and the broader topics of artificial intelligence. He obtained his PhD degree from the Hong Kong University of Science and Technology. He has served on the technical program committee of various international conferences, including KDD, AAAI, IJCAI, DASFAA, CIKM, and COLING. He is serving as a reviewer of international journals including TIST, TKDE, TWEB, etc. His work won DASFAA 2013 Best Student Paper Runner-up, Yahoo TechPulse 2014 Best Paper Award, and CCF Science and Technology Award.
Chen Zhang is currently a research assistant professor in the Department of Computing, PolyU. Before joining the Department, he worked as a senior manager of the Big Data Institute at The Hong Kong University of Science and Technology (HKUST). He received his PhD in Computer Science and Engineering from HKUST in 2015, supervised by Prof. Lei CHEN. Dr.Zhang has served on the Technical Program Committee of various international conferences, including ICDE and CIKM. He won the Outstanding Demonstration Award at VLDB 2014. He has published various papers at top-tier conferences and journals such as ICDE, VLDB, SIGMOD, and TKDE. He is broadly interested in crowdsourcing, fintech, NLP, and interdisciplinary research.
Yuanfeng Song works as a research engineer at AI Group, WeBank. He has more than ten years of working experience in leading Internet institutions such as Tencent and Baidu. His research interests include natural language processing and speech recognition. He received an MPhil degree in computer science from the Hong Kong University of Science and Technology in 2012. He has served as a reviewer of international conferences and journals, including AAAI, EMNLP, and KBS. He has published various papers in top conferences and journals such as KDD, MM, ICDM, TOIS, and TOIST.
作者簡介(中文翻譯)
Di Jiang 擔任 WeBank AI 的首席科學家和工程經理。他的研究興趣包括文本挖掘、語音處理以及更廣泛的人工智慧主題。他在香港科技大學獲得博士學位。他曾擔任多個國際會議的技術程序委員會成員,包括 KDD、AAAI、IJCAI、DASFAA、CIKM 和 COLING。他目前擔任國際期刊的審稿人,包括 TIST、TKDE、TWEB 等。他的工作曾獲得 DASFAA 2013 最佳學生論文亞軍、Yahoo TechPulse 2014 最佳論文獎以及 CCF 科學技術獎。
Chen Zhang 目前是香港理工大學計算學系的研究助理教授。在加入該系之前,他曾擔任香港科技大學大數據研究所的高級經理。他於 2015 年在香港科技大學獲得計算機科學與工程的博士學位,指導教授為 Lei CHEN 教授。Zhang 博士曾擔任多個國際會議的技術程序委員會成員,包括 ICDE 和 CIKM。他在 VLDB 2014 獲得優秀展示獎。他在 ICDE、VLDB、SIGMOD 和 TKDE 等頂級會議和期刊上發表了多篇論文。他對眾包、金融科技、自然語言處理和跨學科研究有廣泛的興趣。
Yuanfeng Song 擔任 WeBank AI Group 的研究工程師。他在騰訊和百度等領先的互聯網機構擁有超過十年的工作經驗。他的研究興趣包括自然語言處理和語音識別。他於 2012 年在香港科技大學獲得計算機科學的碩士學位。他曾擔任多個國際會議和期刊的審稿人,包括 AAAI、EMNLP 和 KBS。他在 KDD、MM、ICDM、TOIS 和 TOIST 等頂級會議和期刊上發表了多篇論文。