Youngduck Choi

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 23

Top Topics

Student Engagement

Mutual Adaptation

Mobile Learning Environment

Top Venues

Publications

Hyunbin Loh, Dongmin Shin, Seewoo Lee, Jineon Baek, Chanyou Hwang, Youngnam Lee, Yeongmin Cha, Soonwoo Kwon, Juneyoung Park, Youngduck Choi
Recommendation for Effective Standardized Exam Preparation. LAK (2021)
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. LAK (2021)
Oh Joon Kwon, Byungsoo Kim, Youngduck Choi
Raw Produce Quality Detection with Shifted Window Self-Attention. CoRR (2021)
Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. EDM (2021)
Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. CoRR (2021)
Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin
Consistency and Monotonicity Regularization for Neural Knowledge Tracing. CoRR (2021)
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. CoRR (2020)
Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. L@S (2020)
Youngnam Lee, Dongmin Shin, Hyunbin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byungsoo Kim, Youngduck Choi
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment. CoRR (2020)
Youngduck Choi, Yoonho Na, Youngjik Yoon, Jonghun Shin, Chan Bae, Hongseok Suh, Byungsoo Kim, Jaewe Heo
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction. CoRR (2020)
Byungsoo Kim, Hongseok Suh, Jaewe Heo, Youngduck Choi
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement. CoRR (2020)
Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. CoRR (2020)
Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. EDM (2020)
Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. CoRR (2020)
Youngnam Lee, Dongmin Shin, Hyunbin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byungsoo Kim, Youngduck Choi
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment. CSEDU (1) (2020)
Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Chan Bae, Byungsoo Kim, Jaewe Heo
EdNet: A Large-Scale Hierarchical Dataset in Education. AIED (2) (2020)
Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Dongmin Shin, Seewoo Lee, Youngmin Cha, Byungsoo Kim, Jaewe Heo
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems. CoRR (2020)
Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Byungsoo Kim, Youngjun Jang
EdNet: A Large-Scale Hierarchical Dataset in Education. CoRR (2019)
Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR (2019)
Aditya Ramesh, Youngduck Choi, Yann LeCun
A Spectral Regularizer for Unsupervised Disentanglement. CoRR (2018)
Jaehong Kim, Youngduck Choi, Moonsu Cha, Jung Kwon Lee, Sangyeul Lee, Sungwan Kim, Yongseok Choi, Jiwon Kim
Auto-Meta: Automated Gradient Based Meta Learner Search. CoRR (2018)
Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag
Electronic medical record phenotyping using the anchor and learn framework. J. Am. Medical Informatics Assoc. 23 (4) (2016)
Youngduck Choi, Chill Yi-I Chiu, David A. Sontag
Learning Low-Dimensional Representations of Medical Concepts. CRI (2016)
Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag
Using Anchors to Estimate Clinical State without Labeled Data. AMIA (2014)