Draft:Jingbo Shang

Computer scientist and professor From Wikipedia, the free encyclopedia

Jingbo Shang (Chinese: 商静波; pinyin: Shāng Jìngbō) is a computer scientist and associate professor in the Department of Computer Science and Engineering (CSE)[1] and the Halıcıoğlu Data Science Institute (HDSI)[2] at the University of California, San Diego.

Education and Career

He obtained his Bachelor’s degree in Computer Science from Shanghai Jiao Tong University (2014), and his Ph.D. in computer science from the University of Illinois Urbana-Champaign (UIUC), supervised by Jiawei Han (2019)[3]. He joined University of California, San Diego in Nov 2019 as Assistant Professor, and earned tenure and was promoted as an Associate Professor in July 2024.

His research ranges from Natural Language Processing (NLP), Data Mining, and Machine Learning (ML). His work focuses on how AI systems learn, reason, and collaborate with human experts, with an emphasis on scalable knowledge discovery under limited supervision[4]. A central contribution of his work, recognized by awards like NSF CAREER award[5][6] and Google Research Scholar award[7], is the paradigm of Extremely Weak Supervision (XWS), which enables task learning from brief natural-language guidance rather than large annotated datasets, similar to the task-specific guidelines provided to human annotators. His work has received over eight thousand citations documented by Google Scholar[8] and has received coverage in the media[9][10][11].

Awards and honors

Jingbo Shang has received the NSF CAREER Award[5][6], Google Research Scholar Award[7], and was named Runner-up for the ACM SIGKDD Dissertation Award in 2020 for his doctoral research[12][13].

He was a Gold Medalist and ranked Second globally (also Asia champion) at the ACM International Collegiate Programming Contest (ICPC) World Finals in 2013 as a member of the Shanghai Jiao Tong University team[14]. He has also been involved in coaching programming contest teams at UCSD[4].

Publications

Shang is a co-author of Phrase Mining from Massive Text and Its Applications[15].

He has contributed to popular science books including Demystifying Computer Science: Computational Thinking in Daily Life (大话计算机科学:生活中的计算思维)[16] and The Journey of World Champions in Informatics Olympiad (天赋之外:金牌之上:信息学竞赛世界冠军的征途)[17].

References

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