Jeongwhan Choi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 32

Top Topics

Negative Samples

Collaborative Filtering

Computationally Inexpensive

Diffusion Equation

Top Venues

Publications

Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR (2024)
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI (2024)
Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR (2024)
Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
Graph Signal Processing for Cross-Domain Recommendation. CoRR (2024)
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR (2024)
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR (2024)
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR (2023)
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. BigData (2023)
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
Polynomial-based Self-Attention for Table Representation learning. CoRR (2023)
Jeongwhan Choi, Duksan Ryu
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC (2023)
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR (2023)
Jeongwhan Choi, Noseong Park
Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR (2023)
Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65 (6) (2023)
Jeongwhan Choi, Noseong Park
Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR (2023)
Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Networks. ICML (2023)
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Perturbation-Recovery Method for Recommendation. CoRR (2022)
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! WSDM (2022)
Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
Prediction-based One-shot Dynamic Parking Pricing. CIKM (2022)
Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
Prediction-based One-shot Dynamic Parking Pricing. CoRR (2022)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR (2022)
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! CoRR (2021)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. CoRR (2021)
Jeongwhan Choi, Jinsung Jeon, Noseong Park
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM (2021)
Jeongwhan Choi, Jinsung Jeon, Noseong Park
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR (2021)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. ICDM (2021)
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
Graph Neural Controlled Differential Equations for Traffic Forecasting. CoRR (2021)