CSIG-VIS International Lecture Series 7
    Prof. Klaus Mueller | Neural Word Embeddings: Adding the Human into the Loop


    Speaker: Prof. Klaus Mueller

    State University of New York at Stony Brook, USA

    Topic: Neural Word Embeddings: Adding the Human into the Loop

    Time: Dec. 16, 2021 9:00-10:30 (China Standard Time)

    Abstract: A neural word embedding is a representation of a word as a high-dimensional vector of numeric values where contextually related words are often placed into close neighborhoods. For example, the words stove, oven, and fridge will be mapped to nearby locations since they are all part of a typical kitchen. A word embedding can be learned from a corpus of natural language text by ways of a relatively simple neural network. Widely available algorithms that create word embeddings are Word2Vec and Glove. In this talk I will present current work that uses word embeddings to solve several longstanding problems related to the analysis of high-dimensional data, namely, subspace clustering and taxonomy/ontology generation. Further, I will also present work that addresses current shortcomings of word embeddings, such as accuracy and bias of the generated mappings. All of these methods innately capitalize on the intelligence of humans to make use and improve the generated embeddings via effective interactive visual interfaces.

    Speaker Bio: Klaus Mueller received a PhD in computer science from The Ohio State University. He is currently a professor in the Computer Science Department at Stony Brook University and he is also a senior scientist at the Computational Science Initiative at Brookhaven National Lab. His current research interests are visual analytics, data science, and explainable AI. He won the US National Science Foundation Early Career award, the SUNY Chancellor Award for Excellence in Scholarship and Creative Activity, and the Meritorious Service Certificate and the Golden Core Award of the IEEE Computer Society. To date, he has authored more than 200 peer-reviewed papers, which have been cited more than 11,000 times. Klaus currently serves as the Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics and is a senior member of the IEEE.

    Live Stream： http://live.bilibili.com/23327855

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    Session Chair:Shenghui Cheng

    WestLake University

    Session Chair Bio: Dr. Shenghui Cheng is a WestLake University fellow and the director of the Intelligent Visualization Lab, WestLake University, China. He obtained a Ph.D. in computer science from the State University of New York at Stony Brook (Stony Brook University), and conducted research at Brookhaven National Laboratory and Harvard Medical School. His research interests are visualization and visual analytics etc.







    About Us

    Webpage: http://chinavis.org/lectures/english/index_en.html
    Email：csig_vis_forum@163.com

    About CSIG-VIS

    The China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics (CSIG-VIS) is the first technical committee on visualization and visual analytics in China. The technical committee aims to develop a communication platform for stakeholders in academia and industry, to discuss the trends and opportunities in the era of big data, to promote the discipline development and talent cultivation, to push forward the research and applications in the related disciplines, and ultimately to build a sustainable ecosystem involving industry, universities, and other research institutes. The technical committee, officially established on December 23, 2017, already attracts more than 100 members from various affiliations, including domestic and international universities and companies.

    About The CSIG-VIS International Lecture Series

    The CSIG-VIS International Lecture Series, launched by the China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics, invites renowned experts to share their visions of the research trends and latest progress in visualization. These biweekly lectures are conducted in Thursday, and please refer to http://chinavis.org /lectures/english/index_en.html for details.