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I'm a Ph.D. student in the Human-Computer Interaction Lab at the University of Waterloo, where I am advised by Edith Law. My research focuses on designing techniques and interactive systems that enable people to learn in a more effortless, effective way. To this end, I often take an interdisciplinary approach, exploring ideas from learning science, cognitive science, and psychology.



    Publication

  •  Jul. 2017 "Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization" (Invited publication) [KAIS Journal] [paper]
  • Apr. 2017 "Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization" (Invited publication) [IJCAI'17 Sister Conference Best Paper Track] [paper]
  • Nov. 2016 "ReVACNN: Steering Convolutional Neural Network via Real-Time Visual Analytics" [NIPS-FILM'16] [paper] [presentation] [demo]
  • Sep. 2016 "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization" [ICDM'16] [paper] [presentation] (Best Student Paper Award out of 917 total submissions)
  •  July 2016 "ReVACNN: Real-Time Visual Analytics for Convolutional Neural Network" [KDD-IDEA'16] [paper]