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ORCIDJeongwhan Choi 0002
Person information
- affiliation: Yonsei University, Seoul, Korea
Other persons with the same name
- Jeongwhan Choi 0001 — Korea University, Seoul, Korea
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2020 – today
- 2025
[c17]Chaejeong Lee
, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. WSDM 2025: 419-428- [i22]Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park:
PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. CoRR abs/2504.04052 (2025) - 2024
- [c16]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI 2024: 8984-8992 - [c15]Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang:
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CIKM 2024: 4686-4693 - [c14]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 - [c13]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML 2024 - [c12]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation Learning. ICML 2024 - [c11]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. IJCAI 2024: 2054-2062 - [c10]Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park:
Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 - [i21]Jeongwhan Choi, Duksan Ryu:
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. CoRR abs/2401.03162 (2024) - [i20]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 abs/2405.00287 (2024) - [i19]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR abs/2405.04746 (2024) - [i18]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR abs/2406.03671 (2024) - [i17]Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee:
Graph Signal Processing for Cross-Domain Recommendation. CoRR abs/2407.12374 (2024) - [i16]Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang:
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CoRR abs/2409.08732 (2024) - 2023
- [j2]Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65(6): 2403-2427 (2023) - [j1]Jeongwhan Choi, Noseong Park:
Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. 14(4): 74:1-74:27 (2023) - [c9]Jeongwhan Choi, Duksan Ryu:
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC 2023: 171-180 - [c8]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. IEEE Big Data 2023: 748-757 - [c7]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Networks. ICML 2023: 5722-5747 - [c6]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR 2023: 1096-1106 - [i15]Jeongwhan Choi, Noseong Park:
Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR abs/2303.10909 (2023) - [i14]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 abs/2311.04522 (2023) - [i13]Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park:
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR abs/2312.04234 (2023) - [i12]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation learning. CoRR abs/2312.07753 (2023) - [i11]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR abs/2312.10325 (2023) - [i10]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 abs/2312.12467 (2023) - [i9]Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park:
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR abs/2312.16563 (2023) - 2022
- [c5]Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI 2022: 6367-6374 - [c4]Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. CIKM 2022: 748-757 - [c3]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: 517-525 - [i8]Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. CoRR abs/2208.14231 (2022) - [i7]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Perturbation-Recovery Method for Recommendation. CoRR abs/2211.09324 (2022) - [i6]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 abs/2211.12034 (2022) - [i5]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR abs/2211.14208 (2022) - 2021
- [c2]Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM 2021: 251-260 - [c1]Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. ICDM 2021: 230-239 - [i4]Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR abs/2108.06208 (2021) - [i3]Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. CoRR abs/2111.06011 (2021) - [i2]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 abs/2111.07265 (2021) - [i1]Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. CoRR abs/2112.03558 (2021)
Coauthor Index
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