Information Science Lab.

News

• Our "MuPP: Multi-Preference Padding for Sequential Recommendation" paper is accepted for SIGIR 2026 (Congrats, Wooseung and Minje!)

• Our "An Analysis of Attribute Utilization in Side Information-integrated Sequential Recommendation" paper is accepted for SIGIR 2026 (Congrats, Minje and Wooseung!)

• "REMICA: Reflective Memory and Interventional Context Alignment with Multi-Agent LLMs for Inappropriate Utterance Detection" paper is accepted for SIGIR 2026 (co-worked with IDEA Lab.) 

• " X-MOS: A Heterogeneous Cross-LiDAR Generalization Framework for Moving Object Segmentation" paper is accepted for ICRA2026 (co-worked with IDEA Lab. and Augmented Intelligence Lab.) 

• "SAGE-Prompt: Structured Attribution Guarded Explanation for Explainable Deepfake Question Answering" paper is accepted for WWW 2026 (co-worked with IDEA Lab.) 

• "Multi-modal recommender system using text-to-image generative models and adaptive learning" paper is published in Expert Systems with Applications, Jan. 2026 (co-worked with CIDA Lab.) 

• Our "Hierarchical Interests Modeling on Multiple Time Scales for Sequential Recommendation" paper is accepted for AAAI 2026 Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) (Congrats, Wooseung and Minje!)

• "AquARium: Augmented Reality Integration for Enhanced Tourism Experiences in a Diorama Fish Tank" paper is accepted for ISMAR 2025 (co-worked with Augmented Intelligence Lab.) 

• We have two papers accepted for Ebision 2025 (Congrats, Hye-Jin and Mingyu!)

• We have six papers accepted for MobiSec 2025 (Congrats, all co-authors!)

• Our "End-to-End Time Interval-wise Segmentation for Sequential Recommendation" paper is accepted for RecSys 2025 (LBR) (Congrats, Minje and Wooseung!)

• Our "A Dual-Key Attention Framework for Sequential Recommendation with Side Information" paper is accepted for RecSys 2025 (LBR) (Congrats, Minje and Wooseung!)

• "Online activation Value-aware Clustering and Aggregation for faithful argumentative explanations" paper is accepted for CIKM 2025 (co-worked with Augmented Intelligence Lab.) 

• Our "PSR: A Dual-Level Learning Framework for Patching Sequential Recommendation to Capture Local Preference Transitions" paper is published in IEEE Access, Sep. 2025 (Congrats, Wooseung and Minje!)

Research Interests

• Theoretical Computer Science and Algorithm Design

• Recommender Systems

• AI applications: NLP and Time series analysis

• Information Retrieval

• Blockchain

Contact Information

Department of Computer Science, Gyeongsang National University

501, Jinju-daero, Jinju-si, Gyeongsangnam-do, Republic of Korea

E-mail: jerassi [at] gnu [at] ac [at] kr