PhD student in computer science
Toyota Technological Institute at Chicago
I am a PhD student at Toyota Technological Institute at Chicago, and my advisor is Prof. Karen Livescu. I did my master in Computer Science at USC and bachelor in Computer Science & Engineering and Mathematics at POSTECH.
My main research interests span various problems related to the fields of Machine Learning and applications to Computer Vision. Specifically, I am interested in Spatio-Temporal Data Analysis, Optimization, and Deep Learning.
· Taehwan Kim, Weiran Wang, Hao Tang and Karen Livescu, Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 (Best Student Paper of Speech and Language Processing) [pdf]
· Taehwan Kim, Yisong Yue, Sarah Taylor and Iain Matthews, A Decision Tree Framework for Spatiotemporal Sequence Prediction, ACM Conference on Knowledge Discovery and Data Mining (KDD), 2015 [pdf]
· Taehwan Kim, Greg Shakhnarovich and Karen Livescu, Fingerspelling Recognition with semi-Markov Conditional Random Fields, IEEE International Conference on Computer Vision (ICCV), 2013 [pdf]
· Taehwan Kim, Karen Livescu and Greg Shakhnarovich, American Sign Language Fingerspelling Recognition With Phonological Feature-based Tandem Models, IEEE Workshop on Spoken Language Technology (SLT), 2012 [pdf]
· Taehwan Kim, Greg Shakhnarovich and Raquel Urtasun, Sparse Coding for Learning Interpretable Spatio-temporal Primitives, Neural Information Processing Systems (NIPS), 2010 [pdf]
· Jihie Kim, Erin Shaw, Saul Wyner, Taehwan Kim and Jia Li, Discerning Affect in Student Discussions, Annual Meeting of the Cognitive Science Society (CogSci), 2010
· Jihie Kim, Jia Li and Taehwan Kim: Identifying student online discussions with unanswered questions, K-CAP, 2009
· Jihie Kim, Taehwan Kim and Jia Li, Identifying unresolved issues in online students discussions: A multi-phase dialogue classification approach, Proc. of the AI in Education Conference (AIED), 2009