Byung-Jun Lee (이병준)

Email: bjlee@ai.kaist.ac.kr

2015. 03. - Current: Phd Student, School of Computing, KAIST, Korea (Advisor: Kee-Eung Kim)


Publications

  • Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim and Kee-Eung Kim, "Batch Reinforcement Learning with Hyperparameter Gradients", in International Conference on Machine Learning (ICML), 2020
  • Byung-Jun Lee, Seunghoon Hong and Kee-Eung Kim, "Residual neural processes", in AAAI conference on Artificial Intelligence (AAAI), 2020
  • Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee and Kee-Eung Kim, "Cross-language neural dialog state tracker for large ontologies using hierarchical attention", IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2018
  • Byung-Jun Lee, Jongmin Lee and Kee-Eung Kim, "Hierarchically-partitioned Gaussian process approximation", in International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
  • Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang and Kee-Eung Kim, "Neural dialog state tracker for large ontologies by attention mechanism", in IEEE Spoken Language Technology Workship (SLT), 2016
  • Byung-Jun Lee and Kee-Eung Kim, "Dialog history construction with long-short term memory for robust generative dialog state tracking", in Dialogue & Discourse (D&D), 2016
  • Byung-Jun Lee and Kee-Eung Kim, "Optimizing Bayesian filtering model for statistical dialog state tracking", Master thesis, 2015
  • Byung-Jun Lee, Woosang Lim, Daejoong Kim and Kee-Eung Kim, "Optimizing generative dialog state tracker via cascading gradient descent", in Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2014

Experiences

  • 2018. 01. - 2018. 07. Machine learning research intern, PROWLER.io

Awards and Honors

  • Naver Ph.D. Fellowship, Naver, 2017
  • Super App Korea (9th place), Android application development competition, 2013