Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (AAAI, 2022)

GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CIKM, 2022)

Two-Stage Deep Anomaly Detection With Heterogeneous Time Series Data. - Kyeong-Joong Jeong; Jin-Duk Park; Kyusoon Hwang; Seong-Lyun Kim; Won-Yong Shin (IEEE Access, 2022)

Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CoRR, 2022)

Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. - Jin-Duk Park; Siqing Li; Xin Cao 001; Won-Yong Shin (KDD, 2023)

Node Feature Augmentation Vitaminizes Network Alignment. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CoRR, 2023)

On the Power of Gradual Network Alignment Using Dual-Perception Similarities. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Empowering Multi-Criteria Recommender Systems Using Advanced Graph Learners. - Jin-Duk Park; Won-Yong Shin (ICTC, 2024)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. - Yu Hou; Jin-Duk Park; Won-Yong Shin (SIGIR, 2024)

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. - Jin-Duk Park; Yong-Min Shin; Won-Yong Shin (SIGIR, 2024)

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems. - Jin-Duk Park; Kyung-Min Kim; Won-Yong Shin (CoRR, 2024)

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs. - Siqing Li; Jin-Duk Park; Wei Huang 034; Xin Cao 001; Won-Yong Shin; Zhiqiang Xu 003 (CoRR, 2024)

Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation. - Chae-Hyun Kim; Yoon-Ryung Choi; Jin-Duk Park; Won-Yong Shin (WWW (Companion Volume), 2025)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation. - Jin-Duk Park; Jaemin Yoo; Won-Yong Shin (WWW, 2025)

Training-Free Graph Filtering via Multimodal Feature Refinement for Extremely Fast Multimodal Recommendation. - Yu-Seung Roh; Joo-Young Kim 007; Jin-Duk Park; Won-Yong Shin (CoRR, 2025)