Career Profile
Machine Learning Engineer, yearning for solving interesting problems with machine learning technologies. Interested in Deep learning, Natural language processing, and Generative models.
Experiences
Worked on various machine learning related tasks, including but not limited to:
- Open-domain Conversation Chatbot
- Recommender system
- Few-shot face reenactment
- Text classification
- SIMD/Assembly-level optimization of low-bit neural networks
Worked as a tech lead for machine learning team, developing machine learning models for open-domain conversation solution Pingpong. Developed several models including but not limited to:
- Retrieval-based chatbot
- Generic response generation via Text/Conversation classification
- Semantic text similarity
- Text generation
Worked on pedestrian detection task, supervised by Gunhee Kim.
Selected Publications
EMNLP 2021 (Findings)
* denotes for equal contribution.
Arxiv 2021
* denotes for equal contribution.
Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction
ICDM NeuRec 2021, Best Paper Award
AAAI 2020
* denotes for equal contribution in alphabetical order.
Projects
Entity Resolution for Tweets (2016)
- Suggested model for Entity Resolution task on tweets, done by undergraduate research opportunity program on SNU IDS Lab.
Timetable Generation Problem (2015)
- Post-enrollment & Student sectioning timetable generation problem for Gyeonggi Science High School.