I am a Ph.D. Candidate in the Computer Science Department at University of Southern California (USC) in Los Angeles. I am working as a research assistant at the Center of Knowledge Graphs, advised by Prof. Craig Knoblock. My research focuses on machine learning and AI techniques to reduce human effort in data integration. Particularly, I have been working on unsupervised and semi-supervised approaches for error detection and data cleaning.
I received my Bachelor’s Degree in Ho Chi Minh City University of Technology. My undergraduate research advisor is Prof. Tru Hoang Cao. After undergraduate, I worked at John Von Neumann Institute as a research assistant for a year. I was also a part-time instructor and teaching assistant at Ho Chi Minh University of Technology and Ton Duc Thang University.
- Conference Reviewer: ISWC 2016, WWW 2017, KDD 2020
- Program Committee: AAAI 2021
- 04/2021: Our paper “SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables” got accetped to IJCAI 2021.
- 09/2019: I presented my short paper "Learning Data Transformations with Minimal User Effort" at IEEE BigData 2019.
- 06/2018 - 08/2018: I joined Nuance Communications as a research intern to work on applying Probabilistic Soft Logic to solve entity resolution/linking problems.