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Events for November 12, 2020
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CS Colloquium: Muhao Chen (USC ISI) - Knowledge Acquisition with Transferable Representation Learning
Thu, Nov 12, 2020 @ 03:30 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Muhao Chen, USC
Talk Title: Knowledge Acquisition with Transferable Representation Learning
Abstract: Multi-relational data provide structural and actionable knowledge representations for various AI systems. As constructing such structural knowledge is often costly and has relied on extensive human effort, there is a pressing need for approaches to automate knowledge acquisition. In this talk, I will summarize two lines of my research to accomplish this mission: (i) transferable representation learning, and (ii) constrained and indirect supervision. Transferable representation learning can automatically capture the association of knowledge across different data sources with minimal supervision, therefore holds the promise of creating a universal representation scheme to support the synchronization of knowledge. Meanwhile, constrained and indirect supervision methods could develop more reliable learning systems for knowledge acquisition from unstructured data, particularly in cases without sufficient training labels. Based on these two lines of research, I will also discuss several applications for a wide range of tasks in areas of knowledge base construction, natural language understanding and computational biology.
This talk satisfies requirements for CSCI 591: Research Colloquium
Join Zoom Meeting
https://usc.zoom.us/j/96706950791?pwd=cXp3TWlhRmo5ZDB0bnA0a0lOQ1VVdz09
Meeting ID: 967 0695 0791
Passcode: 808248
Biography: Muhao Chen joined as a computer scientist at USC ISI in Fall 2020. Prior to that, he was a postdoctoral fellow at UPenn, hosted by Dan Roth. He received his Ph.D. in Computer Science from UCLA in 2019, and B.S. in Computer Science from Fudan University in 2014. His research focuses on data-driven machine learning approaches for processing structured data, and knowledge acquisition from unstructured data. Particularly, he is interested in developing knowledge-aware learning systems with generalizability and requiring minimal supervision, and with concrete applications to natural language understanding, knowledge base construction, computational biology and medicine. Muhao has published over 40 papers in leading AI, NLP and Comp. Bio/med venues. His work has received a best student paper award at ACM BCB, and best paper award nomination at CoNLL. Additional information is available at https://muhaochen.github.io/
Host: CS Department
Audiences: Everyone Is Invited
Contact: Cherie Carter
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. -
Virtual Q&A Panel: What you should know about leading in TECH!
Thu, Nov 12, 2020 @ 04:30 PM - 05:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This event is hosted by ITP. CS students are invited to join.
Please join us on Thursday, November 12 at 4:30 pm PST for a virtual Q&A panel featuring leaders in data science, product management, software engineering, and network security. Additionally, students will be able to network with panelists and ask questions regarding the tech field during COVID-19, career insight, and much more!
This event is highly recommended to students who want to start their career in the technology industry. All USC students are welcome to join and participate. The Q&A will be recorded and can be sent to students if requested. Online participants will get a chance to ask questions.
Click the Zoom link below to join on Thursday, November 12 at 4:30pm PST:
https://usc.zoom.us/j/99308109238?pwd=elMwbWp5cDdjMkJHNG03Z0h6ZW84dz09
Location: Online - Zoom
WebCast Link: https://usc.zoom.us/j/99308109238?pwd=elMwbWp5cDdjMkJHNG03Z0h6ZW84dz09
Audiences: Everyone Is Invited
Contact: USC Computer Science
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.
