Talks
Towards a Holistic Framework for Data-centric Responsible AI
Keynote talk at Guide-AI Workshop @ ACM SIGMOD Conference, June 2024 [homepage]
Data Lab Seminar @ Northeastern University, Feb. 2024
Samsung Advanced Institute of Technology, Sept. 2023
AI Fairness: Model-centric and Data-centric Approaches
Tutorial at Korean Artificial Intelligence Association Summer Conference, July 2023
Towards a Holistic Framework for Responsible AI
NYU Tandon Center for Responsible AI, Apr. 2023
Google TFX (US & Korea teams) TechTalk, Mar. 2023
Seoul National University, Feb. 2023
Korea-Japan Database (KJDB) Workshop, Dec. 2022
Microsoft Research Asia Responsible AI Lecture Series, Nov. 2022
Machine Learning Fairness and Its Convergence with Robustness
Tutorial at IEEE Big Data and Smart Computing (BigComp), Feb. 2023
Data-driven / Responsible AI Research Landscape
Women Tech Stars (Google Explore CSR), Aug. 2022
Data-driven AI Workshop at KCC, June 2022
Enterprise Data Management for AI
KAIST AI Chief AI Officer (CAIO) Program, June 2022
Responsible AI: Model-centric and Data-centric Approaches
Responsible AI Techniques for Remediating Data Quality Issues
Machine Learning Robustness, Fairness, and their Convergence
Responsible AI Techniques for Model Training and Data Preparation
Seoul National University, July 2021
Responsible AI Techniques for Model Training and Data Acquisition
Stanford University Hazy Research (Chris Re's group) Talk, Oct. 2020
Google APAC Academic Research Talk Series (attendance: 90, overall satisfaction: 4.75/5), Aug. 2020
Data Collection and Quality Challenges for Deep Learning
Tutorial at VLDB Conference, Sept. 2020 (Top Database conference)
Big Data - AI Integration
KAIST Software Graduate Program Colloquium, June 2020
Tutorial at IEEE Big Data and Smart Computing (BigComp), Feb. 2020
Korea-Japan Database (KJDB) Workshop, Oct. 2019
KAIST 4th Industrial Revolution Frontier Leadership Program, Oct. 2019 and Sept. 2020
Tutorial at Korea Computer Congress (KCC), June 2019
KAIST Graduate School of Culture Technology Colloquium, May 2019
Google's AI System and Culture
KAIST College of Business, May 2019
KAIST 4th Industrial Revolution Frontier Leadership Program, Sept.2018 and May 2019
AI Research and Talent Training at KAIST
Topics in Big Data and AI Integration
Korea-Japan Database (KJDB) Workshop, Nov. 2018
Korea Computer Congress, June 2018
KAIST - Samsung Research Workshop, Mar. 2018
Data Management Challenges for Production Machine Learning
Naver, Sept. 2018
Korea Development Institute (KDI), July 2018
Electronics and Telecommunications Research Institute (ETRI), July 2018
Sungnam-KAIST ICT Leadership Forum, June 2018
Daegu Gyeongbuk Institute of Science and Technology (DGIST), Feb. 2018
Data Analytics: Integration, Privacy, and Knowledge
Distinguished Lecture Series, APWeb, Changsha, China, Sept. 2014
Seoul National University, Nov. 2013
KAIST, Nov. 2013
Data Analytics: Integration and Privacy
Cornell University, Ithaca, NY, May 2012
MIT, Cambridge, MA, Apr. 2012
Google Research, Mountain View, CA, Apr. 2012
Microsoft Research, Redmond, WA, Apr. 2012
IBM Research Almaden, San Jose, CA, Mar. 2012
IBM Research Watson, Hawthorne, NY, Dec. 2011
Managing Information Leakage
Technicolor, Palo Alto, CA, Aug. 2011
TRUST seminar series, U.C. Berkeley, Berkeley, CA, Apr. 2011
TRUST conference, Stanford University, Stanford, CA, Nov. 2010
Stanford Entity Resolution Framework
Microsoft Research, Mountain View, CA, Dec. 2010
HP Labs, Palo Alto, CA, Mar. 2010
Stanford-Berkeley Exchange, U.C. Berkeley, Berkeley, CA, Apr. 2009
Entity-Resolution: Beyond the Basics
InfoLab Workshop, Stanford University, Stanford, CA, Apr. 2010
Swoosh: A Generic Approach to Entity Resolution
Guest lecture given in the Stanford Course CS345C: Data Integration taught by Dr. Alon Halevy, May 2008
Generic Entity Resolution with Negative Rules
InfoLab/Hitachi Workshop, Stanford University, Stanford, CA, Mar. 2008