CV

Education

B.S. in GitHub, GitHub University, 2012
M.S. in Jekyll, GitHub University, 2014
Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

ConvLab: Multi-Domain End-to-End Dialog System Platform

Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao. ConvLab: Multi-Domain End-to-End Dialog System Platform.

Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking

Xinnuo Xu, Yizhe Zhang, Lars Liden, Sungjin Lee. Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking.

Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks

Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon. Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks.

Generating a Common Question from Multiple Documents using a MapReduce Encoder-Decoder Model

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee. Generating a Common Question from Multiple Documents using a MapReduce Encoder-Decoder Model.

Structuring Latent Spaces for Stylized Response Generation

Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan. Structuring Latent Spaces for Stylized Response Generation.

The Eighth Dialog System Technology Challenge

Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta. The Eighth Dialog System Technology Challenge.

Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task

Xinnuo Xu, Yizhe Zhang, Lars Liden and Sungjin Lee. Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task.

Guided Dialog Policy Learning without Adversarial Learning in the Loop

Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, and Jianfeng Gao. Guided Dialog Policy Learning without Adversarial Learning in the Loop.

Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents

Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Matsoukas Spyros, Young-Bum Kim, Ruhi Sarikaya, Edward Guo, Yuan Ling, Kevin Quinn, Pham Hung, Benjamin Yao, Sungjin Lee. Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents.'

A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues

Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, Sungjin Lee. A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues.

Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration

Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya. Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration.

Handling Long-Tail Queries with Slice-Aware Conversational Systems

Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee. Handling Long-Tail Queries with Slice-Aware Conversational Systems.

Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents

Mohammad Kachuee, Hao Yuan, Young-Bum Kim, Sungjin Lee. Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents.'

AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee. AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation.

Learning Slice-Aware Representations with Mixture of Attentions

Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya. Learning Slice-Aware Representations with Mixture of Attentions.

A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems

Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya. A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems.'

Sungjin Lee

CV