SeongKu Kang

87 papers A* 24A 7Journal 50Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System.
IEEE Trans. Knowl. Data Eng.
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2026 — conf
CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory.
KDD (1)
HuiJeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, SeongKu Kang, Dongha Lee, Susik Yoon
2026 J jnl
CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory.
CoRR
HuiJeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, SeongKu Kang, Dongha Lee, Susik Yoon
2026 A conf
Capturing User Interests from Data Streams for Continual Sequential Recommendation.
WSDM
Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
2026 J jnl
Improving Scientific Document Retrieval with Academic Concept Index.
CoRR
Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, SeongKu Kang
2026 J jnl
MultiCube-RAG for Multi-hop Question Answering.
CoRR
Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han
2026 A* conf
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval.
WWW
Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2025 J jnl
BPL: Bias-adaptive Preference Distillation Learning for Recommender System.
CoRR
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2025 A* conf
Chain-of-Factors Paper-Reviewer Matching.
WWW
Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han
2025 J jnl
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems.
CoRR
Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong
2025 A conf
Continual Recommender Systems.
CIKM
Hyunsik Yoo, SeongKu Kang, Hanghang Tong
2025 J jnl
Continual Recommender Systems.
CoRR
Hyunsik Yoo, SeongKu Kang, Hanghang Tong
2025 J jnl
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.
CoRR
Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han
2025 — conf
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark.
KDD (2)
Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025 J jnl
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark.
CoRR
Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025 A* conf
Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems.
SIGIR
Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
2025 J jnl
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval.
CoRR
Sangam Lee, Ryang Heo, SeongKu Kang, Dongha Lee
2025 A conf
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
WSDM
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025 J jnl
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
CoRR
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025 J jnl
LLM-Based Compact Reranking with Document Features for Scientific Retrieval.
CoRR
Runchu Tian, Xueqiang Xu, Bowen Jin, SeongKu Kang, Jiawei Han
2025 J jnl
Leveraging Historical and Current Interests for Continual Sequential Recommendation.
CoRR
Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
2025 J jnl
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval.
CoRR
Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2025 A* conf
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
SIGIR
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
2025 — conf
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking.
EMNLP (Findings)
Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han
2025 J jnl
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking.
CoRR
Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han
2025 J jnl
Session-Based Recommendation with Validated and Enriched LLM Intents.
CoRR
Gyuseok Lee, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang
2025 A* conf
Topic Coverage-based Demonstration Retrieval for In-Context Learning.
EMNLP
Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2025 J jnl
Topic Coverage-based Demonstration Retrieval for In-Context Learning.
CoRR
Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2025 J jnl
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems.
Trans. Recomm. Syst.
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2025 A* conf
Uncertainty Quantification and Decomposition for LLM-based Recommendation.
WWW
Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025 J jnl
Uncertainty Quantification and Decomposition for LLM-based Recommendation.
CoRR
Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025 A conf
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts.
WSDM
Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee
2024 A* conf
Continual Collaborative Distillation for Recommender System.
KDD
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
2024 J jnl
Continual Collaborative Distillation for Recommender System.
CoRR
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
2024 J jnl
Deep Rating Elicitation for New Users in Collaborative Filtering.
CoRR
Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2024 J jnl
Graph Signal Processing for Cross-Domain Recommendation.
CoRR
Jeongeun Lee, SeongKu Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
2024 J jnl
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks.
CoRR
Jaehyun Lee, SeongKu Kang, Hwanjo Yu
2024 A* conf
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.
WWW
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
2024 J jnl
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.
CoRR
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
2024 J jnl
Knowledge Distillation Approaches for Accurate and Efficient Recommender System.
CoRR
SeongKu Kang
2024 A* conf
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.
CVPR
Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu
2024 J jnl
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.
CoRR
Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu
2024 A* conf
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.
AAAI
Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
2024 J jnl
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.
CoRR
Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
2024 A* conf
Multi-Domain Sequential Recommendation via Domain Space Learning.
SIGIR
Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024 — conf
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
ACL (Findings)
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
2024 J jnl
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.
CoRR
Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
2024 J jnl
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
CoRR
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
2024 J jnl
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation.
CoRR
Tongyoung Kim, Soojin Yoon, SeongKu Kang, Jinyoung Yeo, Dongha Lee
2024 — conf
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy.
ACL (Findings)
Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
2024 J jnl
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy.
CoRR
Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
2024 A* conf
Taxonomy-guided Semantic Indexing for Academic Paper Search.
EMNLP
SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu
2024 J jnl
Taxonomy-guided Semantic Indexing for Academic Paper Search.
CoRR
SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu
2024 A* conf
Top-Personalized-K Recommendation.
WWW
Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024 J jnl
Top-Personalized-K Recommendation.
CoRR
Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024 J jnl
Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts.
CoRR
Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee
2024 J jnl
Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths.
CoRR
Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee
2023 A* conf
Distillation from Heterogeneous Models for Top-K Recommendation.
WWW
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023 J jnl
Distillation from Heterogeneous Models for Top-K Recommendation.
CoRR
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023 A* conf
Learning Topology-Specific Experts for Molecular Property Prediction.
AAAI
Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
2023 J jnl
Learning Topology-Specific Experts for Molecular Property Prediction.
CoRR
Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
2023 A conf
MvFS: Multi-view Feature Selection for Recommender System.
CIKM
Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang
2023 J jnl
MvFS: Multi-view Feature Selection for Recommender System.
CoRR
Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang
2022 A* conf
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.
WWW
SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
2022 J jnl
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.
CoRR
SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
2022 J jnl
Mitigating viewpoint sensitivity of self-supervised one-class classifiers.
Inf. Sci.
Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu
2022 A* conf
Obtaining Calibrated Probabilities with Personalized Ranking Models.
AAAI
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2022 J jnl
Personalized Knowledge Distillation for Recommender System.
Knowl. Based Syst.
SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
2022 A* conf
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.
WWW
Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2022 J jnl
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.
CoRR
Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2021 A* conf
Bidirectional Distillation for Top-K Recommender System.
WWW
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021 J jnl
Bidirectional Distillation for Top-K Recommender System.
CoRR
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021 A* conf
Bootstrapping User and Item Representations for One-Class Collaborative Filtering.
SIGIR
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021 J jnl
Bootstrapping User and Item Representations for One-Class Collaborative Filtering.
CoRR
Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021 J jnl
Item-side ranking regularized distillation for recommender system.
Inf. Sci.
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021 A* conf
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.
WWW
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
2021 J jnl
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.
CoRR
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
2021 J jnl
Obtaining Calibrated Probabilities with Personalized Ranking Models.
CoRR
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021 A* conf
Topology Distillation for Recommender System.
KDD
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021 J jnl
Topology Distillation for Recommender System.
CoRR
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021 A* conf
Unsupervised Proxy Selection for Session-based Recommender Systems.
SIGIR
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
2021 J jnl
Unsupervised Proxy Selection for Session-based Recommender Systems.
CoRR
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
2020 A conf
DE-RRD: A Knowledge Distillation Framework for Recommender System.
CIKM
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2020 J jnl
DE-RRD: A Knowledge Distillation Framework for Recommender System.
CoRR
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2020 A* conf
Deep Rating Elicitation for New Users in Collaborative Filtering.
WWW
Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2020 — conf
Multi-Modal Component Embedding for Fake News Detection.
IMCOM
SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2019 A conf
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.
CIKM
SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu