CSE Seminar with Dawei Zhou of University of Illinois at Urbana-Champaign

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Thursday February 11, 2021 - Friday February 12, 2021
      11:00 am - 11:59 am
  • Location: Atlanta, GA
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Kristen Perez

Communications Officer

kristen.perez@cc.gatech.edu

Summaries

Summary Sentence: CSE Seminar with Dawei Zhou of University of Illinois at Urbana-Champaign

Full Summary: No summary paragraph submitted.

Name: Dawei Zhou

Date/Time: Thursday February 11 @ 11:00 am

Link: https://bluejeans.com/6622130444

Title: Learning More from Less: Complex Rare Category Analysis

Abstract: In contrast to the sheer volume of data being collected in the age of big data, it is often the rare categories (i.e., the minority classes) that are of great importance in many high impact domains, ranging from financial fraud detection to rare disease diagnosis, from national security to scientific discovery. However, modern AI systems typically require the availability of rich annotated data and often achieve suboptimal performance in rare category analysis due to the label scarcity nature of rare examples. In this talk, I will discuss my recent work on complex rare category analysis, focusing on two major challenges, i.e., how to characterize the under-represented patterns with a compact representation, and how to provide the proper lens for the end-users to draw insights from the data and rare category analysis models. In particular, I will hinge on key application domains, discuss our proposed techniques and theoretical results for characterizing and comprehending rare examples, and showcase a unified visual analytic system for rare category analysis in the dynamic environment. Finally, I will conclude this talk and share thoughts about my future plans.

Bio: Dawei Zhou is a final year Ph.D. candidate at the Computer Science Department, University of Illinois at Urbana-Champaign, under the supervision of Dr. Jingrui He. His research interests lie in rare category analysis, graph mining, curriculum learning, and algorithmic fairness, with applications in financial fraud detection, financial forecasting, social media analysis, and healthcare. He has authored more than 20 publications in premier academic venues across AI, data mining, and information retrieval (e.g., AAAI, IJCAI, KDD, ICDM, SDM, TKDD, DMKD, WWW, CIKM) and has received student travel awards at KDD, WWW, AAAI, IJCAI, ICDM, etc. His work on complex rare category analysis has been selected by Computing Research Association (CRA) to showcase at the 24th CNSF Capitol Hill Science Exhibition. He has broad collaborations within industry and academia, such as IBM T.J. Watson Research Lab, HRL Laboratories, Alibaba DAMO Academy, Early Warning Inc., ASU, University of Rochester, Rutgers University, etc.   

 

Additional Information

In Campus Calendar
No
Groups

College of Computing, School of Computational Science and Engineering

Invited Audience
Faculty/Staff, Public, Undergraduate students
Categories
No categories were selected.
Keywords
No keywords were submitted.
Status
  • Created By: Kristen Perez
  • Workflow Status: Published
  • Created On: Feb 3, 2021 - 1:52pm
  • Last Updated: Feb 3, 2021 - 1:52pm