Byung-Jun Lee (이병준)

Jongmin Lee, Byung-Jun Lee and Kee-Eung Kim, "Reinforcement Learning for Control with Multiple Frequencies", in Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurlPS), 2020

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 (*: equally contributed)

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

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

Learning to Run a Power Network Challenge (L2RPN) 2020 WCCI (1st place), 2020

Naver Ph.D. Fellowship, Naver, 2017

Super App Korea (9th place), Android application development competition, 2013