Youngsoo Jang
Research Scientist @ Advanced ML Lab, LG AI Research
Research Interest: Reinforcement Learning, Task-Oriented Dialogue Systems, Natural Language Processing
Email: jys5609@gmail.com
Education
2018.03 - 2022.08: Ph.D. in Computer Science, KAIST, Republic of Korea (Advisor: Prof. Kee-Eung Kim)
2016.03 - 2018.02: M.S. in Computer Science, KAIST, Republic of Korea (Advisor: Prof. Kee-Eung Kim)
2011.02 - 2016.02: B.S. in Mathematical Science and Computer Science (Double Major), KAIST, Republic of Korea
Publications
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, and Moontae Lee
Proceedings of Neural Information Processing Systems (NeurIPS). 2023 (to appear)
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, and Kee-Eung Kim
Proceedings of International Conference on Machine Learning (ICML). 2023
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim*, Jongmin Lee*, Youngsoo Jang, Hongseok Yang, and Kee-Eung Kim (*: equal contribution)
Proceedings of Neural Information Processing Systems (NeurIPS). 2022
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang, Jongmin Lee, and Kee-Eung Kim
International Conference on Learning Representations (ICLR). 2022
Monte-Carlo Planning and Learning with Language Action Value Estimates
Youngsoo Jang, Seokin Seo, Jongmin Lee, and Kee-Eung Kim
International Conference on Learning Representations (ICLR). 2021
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, and Kee-Eung Kim
Proceedings of International Conference on Machine Learning (ICML). 2020
End-to-End Neural Pipeline for Goal-Oriented Dialogue System using GPT-2
Donghoon Ham*, Jeong-Gwan Lee*, Youngsoo Jang, and Kee-Eung Kim (*: equal contribution)
Proceedings of Association for Computational Linguistics (ACL). 2020
Proceedings of AAAI Conference on Artificial Intelligence (AAAI) DSTC8 Workshop. 2020
1st place on 8th Dialog System Technology Challenge (DSTC8) Multi-domain Task Completion Track, 2019
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
Youngsoo Jang, Jongmin Lee, and Kee-Eung Kim
Proceedings of AAAI Conference on Artificial Intelligence (AAAI). 2020
Proceedings of Neural Information Processing Systems (NeurIPS) Conversational AI Workshop. 2019 (oral presentation)
Trust Region Sequential Variational Inference
Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, and Kee-Eung Kim
Proceedings of Asian Conference on Machine Learning (ACML). 2019
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Systems with Probabilistic Rules
Youngsoo Jang*, Jongmin Lee*, Jaeyoung Park*, Kyeng-Hun Lee, Pierre Lison, and KeeEung Kim (*: equal contribution)
Proceedings of Empirical Methods in Natural Language Processing (EMNLP), System Demonstrations. 2019
Cross-language Neural Dialog State Tracker for Large Ontologies using Hierarchical Attention
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, and Kee-Eung Kim
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). 2018
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
Jongmin Lee, Youngsoo Jang, Pascal Poupart, and Kee-Eung Kim
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI). 2017
ECML-PKDD Workshop on Scaling-Up Reinforcement Learning (SURL). 2017
Neural Dialog State Tracker for Large Ontologies by Attention Mechanism
Youngsoo Jang*, Jiyeon Ham*, Byung-Jun Lee, Youngjae Chang, and Kee-Eung Kim (*: equal contribution)
IEEE Workshop on Spoken Language Technology (SLT). 2016 / 3rd place on 5th Dialog State Tracking Challenge (DSTC)
Awards and Honors
NeurIPS Outstanding Reviewer Award, 2021
Qualcomm-KAIST Innovation Awards, Qualcomm, 2019 (awarded $5,000)
1st place on 8th Dialog System Technology Challenge (DSTC8) Multi-domain Task Completion Track, 2019
Naver Ph.D. Fellowship, NAVER, 2018 (awarded $5,000)
3rd place on 5th Dialog State Tracking Challenge (DSTC5), 2016
Best TA Award, Introduction to Programming (CS101, 2016 Spring), School of Computing, KAIST, Sep. 2016
Academic Talks
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
2022. 04. 26. ICLR 2022, Virtual
2022. 05. 11. NAVER, Virtual
Monte-Carlo Planning and Learning with Language Action Value Estimates
2021. 05. 04. ICLR 2021 ML in Korea, Virtual
2021. 05. 04. ICLR 2021, Virtual
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
2020. 07. 13. KAKAO Brain, Pangyo, Korea
2020. 02. 11. AAAI Conference on Artificial Intelligence, New York, USA
2019. 12. 14. NeurIPS Conversational AI Workshop 2019, Vancouver, Canada
2019. 11. 29. Qualcomm-KAIST Innovation Award 2019, KAIST, Korea
2019. 09. 27. KAKAO, Jeju, Korea
Reviewer
ICLR (2020, 2021, 2022, 2023)
AAAI (2019, 2020, 2021)
NeurIPS (2021, 2022, 2023)
ICML (2023)
EMNLP (2020, 2021)
ACL (2022. 2023)