Jin-Duk Park

24 papers A* 5A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Centrality-Based Node Feature Augmentation for Robust Network Alignment.
IEEE Trans. Netw. Sci. Eng.
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2026 J jnl
Training-free adjustable polynomial graph filtering for ultra-fast multimodal recommendation.
Eng. Appl. Artif. Intell.
Yu-Seung Roh, Joo-Young Kim, Jin-Duk Park, Won-Yong Shin
2025 A* conf
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation.
WWW
Jin-Duk Park, Jaemin Yoo, Won-Yong Shin
2025 J jnl
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation.
CoRR
Jin-Duk Park, Jaemin Yoo, Won-Yong Shin
2025 — conf
Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation.
WWW (Companion Volume)
Chae-Hyun Kim, Yoon-Ryung Choi, Jin-Duk Park, Won-Yong Shin
2025 J jnl
Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation.
CoRR
Chae-Hyun Kim, Yoon-Ryung Choi, Jin-Duk Park, Won-Yong Shin
2025 J jnl
Training-Free Graph Filtering via Multimodal Feature Refinement for Extremely Fast Multimodal Recommendation.
CoRR
Yu-Seung Roh, Joo-Young Kim, Jin-Duk Park, Won-Yong Shin
2024 J jnl
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems.
CoRR
Jin-Duk Park, Kyung-Min Kim, Won-Yong Shin
2024 A* conf
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity.
SIGIR
Yu Hou, Jin-Duk Park, Won-Yong Shin
2024 J jnl
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity.
CoRR
Yu Hou, Jin-Duk Park, Won-Yong Shin
2024 — conf
Empowering Multi-Criteria Recommender Systems Using Advanced Graph Learners.
ICTC
Jin-Duk Park, Won-Yong Shin
2024 J jnl
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs.
CoRR
Siqing Li, Jin-Duk Park, Wei Huang, Xin Cao, Won-Yong Shin, Zhiqiang Xu
2024 A* conf
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
SIGIR
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
2024 J jnl
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
CoRR
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
2023 A* conf
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation.
KDD
Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
2023 J jnl
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation.
CoRR
Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
2023 J jnl
Node Feature Augmentation Vitaminizes Network Alignment.
CoRR
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2023 J jnl
On the Power of Gradual Network Alignment Using Dual-Perception Similarities.
IEEE Trans. Pattern Anal. Mach. Intell.
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022 J jnl
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation.
CoRR
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022 A* conf
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract).
AAAI
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022 A conf
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation.
CIKM
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022 J jnl
On the Power of Gradual Network Alignment Using Dual-Perception Similarities.
CoRR
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022 J jnl
Two-Stage Deep Anomaly Detection With Heterogeneous Time Series Data.
IEEE Access
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin
2022 J jnl
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data.
CoRR
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang, Seong-Lyun Kim, Won-Yong Shin