Dongchan Kim
Computer Scientist & Programmer
AI, ML, NLP, Distributed Systems, Cloud Computing, Computer Networks
dongchan {a} dongchankim.io
Professional Experiences
- Sr. Staff Applied Scientist in Naver Search US, Bellevue, WA, USA Dec. 2021 - Present
- Sr. Applied Scientist in Amazon Alexa, Seattle, WA, USA Apr. 2020 - Dec. 2021
- Applied Scientist in Amazon Alexa, Seattle, WA, USA May 2017 - Apr. 2020
- Software Engineer in Microsoft Cortana, Seattle, WA, USA Jan. 2017 - May 2017
- Software Development Engineer in Amazon, Seattle, WA, USA Oct. 2012 - Dec. 2016
Publications
- Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding, Jihwan Lee, Dongchan Kim, Ruhi Sarikaya, Young-Bum Kim. SLT 2018
- Efficient Large-Scale Domain Classification with Personalized Attention, Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya. ACL 2018
- A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding, Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya. NAACL 2018
- Adversarial Adaptation of Synthetic or Stale Data, Young-Bum Kim, Karl Stratos, Dongchan Kim. ACL 2017
- Domain Attention with an Ensemble of Experts, Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya. ACL 2017
- Adaptive data transmission in the cloud, Wenfei Wu, Yizheng Chen, Ramakrishnan Durairajan, Dongchan Kim, Ashok Anand, Aditya Akella. IWQoS 2013
Education
- M.S. in Computer Sciences. Georgia Tech, Atlanta, GA. 2010
- B.S. in Computer Sciences. University of Wisconsin, Madison, WI. 2008