Jeongwhan Choi

According to our database, Jeongwhan Choi authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.

Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Neural Rough Differential Equations for Traffic Forecasting.

Jeongwhan Choi, Noseong Park

ACM Trans. Intell. Syst. Technol., August, 2023

Climate modeling with neural advection-diffusion equation.

Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park

Knowl. Inf. Syst., June, 2023

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.

Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park

CoRR, 2023

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

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

CoRR, 2023

Polynomial-based Self-Attention for Table Representation learning.

Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

CoRR, 2023

Graph Convolutions Enrich the Self-Attention in Transformers!

Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

CoRR, 2023

Blurring-Sharpening Process Models for Collaborative Filtering.

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GREAD: Graph Neural Reaction-Diffusion Networks.

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

Proceedings of the International Conference on Machine Learning, 2023

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.

Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park

Proceedings of the IEEE International Conference on Big Data, 2023

QoS-Aware Graph Contrastive Learning for Web Service Recommendation.

Jeongwhan Choi, Duksan Ryu

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

GREAD: Graph Neural Reaction-Diffusion Equations.

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

CoRR, 2022

Time Series Forecasting with Hypernetworks Generating Parameters in Advance.

Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

CoRR, 2022

Perturbation-Recovery Method for Recommendation.

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

CoRR, 2022

Linear, or Non-Linear, That is the Question!

Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Prediction-based One-shot Dynamic Parking Pricing.

Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Neural Controlled Differential Equations for Traffic Forecasting.

Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Climate Modeling with Neural Diffusion Equations.

Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park

Proceedings of the IEEE International Conference on Data Mining, 2021

LT-OCF: Learnable-Time ODE-based Collaborative Filtering.

Jeongwhan Choi, Jinsung Jeon, Noseong Park

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021