Prof. Wonjong Rhee
Prof. Wonjong Rheewrhee@snu.ac.kr
Deep Neural Networks, Machine Learning, Data Science, Information Theory, Optimization, Signal Processing

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Photo credit: Laguna Studio

Current Members

Hyunghun Cho
Hyunghun ChoPh.D. Candidate
– Hyperparameter Optimization of DNN
– Web API, IoT software
Eunjung Lee
Eunjung LeePh.D. Candidate
– Meta Learning
– Data Science (Energy Data)
Kyungeun Lee
Kyungeun LeePh.D. Candidate
– Information-theoretic Analysis of the DNN Generalization
– Traffic Forecasting
Moonjung Eo
Moonjung EoPh.D. Candidate
– Network Compression
– Encoding of DNN
Euna Jung
Euna JungPh.D. Candidate
– DNN Interpretability via Visualization
Jungwook Shin
Jungwook ShinPh.D. Candidate
– ML/DL Acceleration
– Natural Language Processing
Duhun Hwang
Duhun HwangPh.D. Student
– DNN Generalization
– DNN Representation
Jaekeol Choi
Jaekeol ChoiPh.D. Student
– Natural Language Processing
– Information Retrieval
Jaeill Kim
Jaeill KimPh.D. Student
– Fast Inference & Training
Yoonah Lee
Yoonah LeeMS Student
– Meta Learning
– Adversarial Attack
Donghun Lee
Donghun LeePh.D. Student
– Deep Reinforcement Learning
Jangwon Suh
Jangwon SuhMS/Ph.D. Student
– Natural Language Processing
– ML Interpretability
Suhyeon Kang
Suhyeon KangMS/Ph.D. Student
– Meta Learning

Past Members

Seungwook Kim
Seungwook KimShenzhen Research Institute of Big Data (SRIBD)
Alumnus (MS, 2016.8)
– Churn prediction, ML
Changho Shin
Changho ShinPh.D. candidate, CS, Univ. of Wisconsin-Madison
Alumnus (MS, 2017.2)
– Deep learning, NILM
Seungeun Rho
Seungeun RhoNC soft
Alumnus (MS, 2017.8)
– NILM, DNN Hyperparameter Opt.
Yongjae Lee
Yongjae LeeAssistant Prof., UNIST
Alumnus (BK Assistant Professor 2017~2018)
– Investment Management
– Optimization
– Machine Learning
Jeongyun Han
Jeongyun HanResearch Prof., KAIST
Alumnus (Ph.D., 2019.2)
– AI Education
– ML on Educational Data
– Learning Analytics
– Technology Enhanced Learning Environment
Daeyoung Choi
Daeyoung ChoiRepublic of Korea Air Force
Alumnus (Ph.D., 2019.2)
– Neural Networks
– Data Science
Won Shin
Won ShinONYX InSight
Alumnus (MS, 2019.8)
– Machine Learning
– Renewable Energy
– Predictive Maintenance
Sedong Kim
Sedong KimSK Hynix
Alumnus (MS, 2019.8)
– Information Bottleneck
– Generative Models
Potential students: 석사/박사/석박통합/post-doc에 관심 있는 분들은 wrhee@snu.ac.kr로 성적표와 간단한 CV를 첨부하여 이메일 주시기 바랍니다.