| 2026 | ACL | DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning. | Changjun Park, Sejong Yoon, Jaekwang Kim |
| 2026 | ICTIR | Adaptive Token-Aware Query Reformulation for Text-to-Image Retrieval. | Seonah Kim, Minkeon Kim, Youjin Lee, Jaekwang Kim, Jinyoung Han, Eunil Park |
| 2026 | PAKDD | C | Soyoung Kim, Dongjun Lee, Jaekwang Kim |
| 2026 | PAKDD | SGTRec: Integrating Spectral Encoding with Graph Neural Networks and Transformers for Recommendation. | Sichan Oh, Byungmoon Heo, Namjun Lee, Seonah Kim, Sejong Yoon, Jaekwang Kim |
| 2026 | WWW | FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation. | Byungmoon Heo, Namjun Lee, Seonah Kim, Jaekwang Kim |
| 2025 | CIKM | RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention. | San Kim, Seungjun Lee, Sichan Oh, Jaekwang Kim |
| 2025 | CIKM | Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance? | Seungjun Lee, San Kim, Johyeon Kim, Jaekwang Kim |
| 2025 | ICCV | Multi-Scale Contrastive-Adversarial Distillation for Super-Resolution. | Donggeun Ko, Youngsang Kwak, San Kim, Jaehwa Kwak, Jaekwang Kim |
| 2025 | ICTIR | WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation? | Byungmoon Heo, Jaekwang Kim |
| 2025 | SAC | Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models. | Donggeun Ko, Dongjun Lee, Namjun Park, Wonkyeong Shim, Jaekwang Kim |
| 2025 | SAC | Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation. | Dongjun Lee, Donggeun Ko, Jaekwang Kim |
| 2025 | SAC | PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients. | Wonkyeong Shim, Namjun Park, Donggeun Ko, San Kim, Hyebin Gwag, Youngjun Park, Seungjung Park, Jaekwang Kim |
| 2025 | SIGIR | SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System. | Namjun Lee, Jaekwang Kim |
| 2024 | SAC | Elevating CTR Prediction: Field Interaction, Global Context Integration, and High-Order Representations. | Sojeong Kim, Dongjun Lee, Jaekwang Kim |
| 2023 | CIKM | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. | Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim |
| 2023 | SIGIR | How Important is Periodic Model update in Recommender System? | Hyunsung Lee, Sungwook Yoo, Dongjun Lee, Jaekwang Kim |
| 2022 | ICDM | Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced Data. | Chaekyu Lee, Jaekwang Kim |
| 2010 | CDVE | Cooperative Learning by Replay Files in Real-Time Strategy Game. | Jaekwang Kim, KwangHo Yoon, Tae Bok Yoon, Jee-Hyong Lee |
| 2008 | IJCNN | A methodology for finding source-level vulnerabilities of the Linux kernel variables. | Jaekwang Kim, Jee-Hyong Lee |