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Events for October 21, 2021
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CS Undergraduate Live Chat Drop-in AdvisementThu, Oct 21, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Student Activity
CS Advisors will be available on Tuesdays/Wednesdays/Thursdays this fall from 1:30pm to 2:30pm to assist undergraduates in our four majors (CSCI, CSBA, CSGA, and CECS) via Live Chat. Access the live chat through our website at https://cs.usc.edu/chat
Location: Online - Live Chat
Audiences: Undergrad
Contact: USC Computer Sciecne
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CS Colloquium: Huan Liu (Arizona State University) - Social Media Mining: A Bountiful Frontier in AI
Thu, Oct 21, 2021 @ 03:30 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Huan Liu , Arizona State University
Talk Title: Social Media Mining: A Bountiful Frontier in AI
Series: CS Colloquium
Abstract: Social media data differs from conventional data in many ways. It is not only big, but also noisy, linked, multimodal, and user-generated. Unprecedented opportunities thus emerge for CS and AI research through the lens of social data. In this talk, I use examples to illustrate: (1) fundamental problems associated with social media, that challenge common practice and existential understanding in machine learning and data mining; (2) intriguing questions, unique to social media, that can be answered by mining social media; and (3) how we can make a difference -“ that is, contribute to society at large - by developing novel socially responsible AI algorithms in our work on social media mining and AI. There are great opportunities ahead for research, teaching, and interdisciplinary collaborations in advancing knowledge in CS, AI, and data science.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. Huan Liu is Professor of Computer Science and Engineering at Arizona State University. He was recognized for excellence in teaching and research in Computer Science and Engineering at ASU. His research interests include AI, data mining, feature selection, and social media mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He graduated 32 PhD students at ASU and many of them won highly coveted awards (click here for their first job after graduation). He is Founding Field Chief Editor of Frontiers in Big Data, its Specialty Chief Editor of Data Mining and Management, Editor in Chief of ACM TIST, and Conference Co-Chair of ACM WSMD2022. His research has been funded by NSF, AFOSR, AFRL, ARL, ARO, DARPA, NASA, and ONR, among others. He is a Fellow of AAAI, AAAS, ACM, and IEEE.
Host: Laurent Itti
Location: Ronald Tutor Hall of Engineering (RTH) - 115
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
