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Wonbin Kweon
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2020 – today
- 2026
- [j4]SeongKu Kang
, Jianxun Lian, Dongha Lee
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System. IEEE Trans. Knowl. Data Eng. 38(1): 110-122 (2026) - [c19]Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu:
Harmonic Dataset Distillation for Time Series Forecasting. AAAI 2026: 21770-21778 - [c18]Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu:
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. WWW 2026: 2396-2407 - [i27]Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, Seongku Kang:
Improving Scientific Document Retrieval with Academic Concept Index. CoRR abs/2601.00567 (2026) - [i26]Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han:
MultiCube-RAG for Multi-hop Question Answering. CoRR abs/2602.15898 (2026) - [i25]Jash Rajesh Parekh, Wonbin Kweon, Joey Chan, Rezarta Islamaj, Robert Leaman, Pengcheng Jiang, Chih-Hsuan Wei, Zhizheng Wang, Zhiyong Lu, Jiawei Han:
Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering. CoRR abs/2602.17911 (2026) - [i24]Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu:
Harmonic Dataset Distillation for Time Series Forecasting. CoRR abs/2603.03760 (2026) - [i23]Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, SeongKu Kang, Jiawei Han, Dong Wang:
Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization. CoRR abs/2604.00997 (2026) - 2025
- [j3]Seongku Kang
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. Trans. Recomm. Syst. 3(3): 38:1-38:28 (2025) - [c17]Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu:
Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. ACL (Findings) 2025: 20769-20784 - [c16]Jaehyung Lim
Federated Continual Recommendation. CIKM 2025: 1798-1808 - [c15]Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu:
Topic Coverage-based Demonstration Retrieval for In-Context Learning. EMNLP 2025: 19900-19912 - [c14]Gwangseok Han
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. KDD (1) 2025: 425-435 - [c13]SeongKu Kang
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. WSDM 2025: 895-904 - [c12]Wonbin Kweon
Uncertainty Quantification and Decomposition for LLM-based Recommendation. WWW 2025: 4889-4901 - [i22]Wonbin Kweon
Uncertainty Quantification and Decomposition for LLM-based Recommendation. CoRR abs/2501.17630 (2025) - [i21]SeongKu Kang, Bowen Jin, Wonbin Kweon
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. CoRR abs/2502.11181 (2025) - [i20]Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu:
Federated Continual Recommendation. CoRR abs/2508.04792 (2025) - [i19]Namu Kim, Wonbin Kweon, Minsoo Kim, Hwanjo Yu:
Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment. CoRR abs/2508.21090 (2025) - [i18]Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu:
Topic Coverage-based Demonstration Retrieval for In-Context Learning. CoRR abs/2509.12451 (2025) - [i17]Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu:
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. CoRR abs/2510.09897 (2025) - [i16]SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu:
BPL: Bias-adaptive Preference Distillation Learning for Recommender System. CoRR abs/2510.16076 (2025) - [i15]Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Dongha Kim, Hwanjo Yu:
Personalized Federated Recommendation With Knowledge Guidance. CoRR abs/2511.12959 (2025) - 2024
- [c11]Gyuseok Lee
Continual Collaborative Distillation for Recommender System. KDD 2024: 1495-1505 - [c10]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. NAACL-HLT 2024: 4294-4321 - [c9]Wonbin Kweon
Top-Personalized-K Recommendation. WWW 2024: 3388-3399 - [c8]Wonbin Kweon
Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. WWW 2024: 3810-3820 - [i14]Wonbin Kweon
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024) - [i13]Wonbin Kweon
Confidence Calibration for Recommender Systems and Its Applications. CoRR abs/2402.16325 (2024) - [i12]Wonbin Kweon
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR abs/2402.16327 (2024) - [i11]Wonbin Kweon
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. CoRR abs/2403.00817 (2024) - [i10]Joonwon Jang, Sanghwan Jang, Wonbin Kweon
Rectifying Demonstration Shortcut in In-Context Learning. CoRR abs/2403.09488 (2024) - [i9]Gyuseok Lee, SeongKu Kang
Continual Collaborative Distillation for Recommender System. CoRR abs/2405.19046 (2024) - [i8]Gwangseok Han, Wonbin Kweon
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. CoRR abs/2411.11240 (2024) - [i7]Joonwon Jang, Jaehee Kim, Wonbin Kweon
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria. CoRR abs/2412.21006 (2024) - 2023
- [c7]SeongKu Kang
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811 - [i6]SeongKu Kang
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023) - 2022
- [j2]SeongKu Kang
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239: 107958 (2022) - [c6]Wonbin Kweon
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI 2022: 4083-4091 - [c5]Seongku Kang
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. WWW 2022: 1965-1976 - [i5]SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. CoRR abs/2202.13140 (2022) - 2021
- [j1]SeongKu Kang
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580: 15-34 (2021) - [c4]SeongKu Kang
Topology Distillation for Recommender System. KDD 2021: 829-839 - [c3]Wonbin Kweon
Bidirectional Distillation for Top-K Recommender System. WWW 2021: 3861-3871 - [i4]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. CoRR abs/2106.02870 (2021) - [i3]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. CoRR abs/2106.08700 (2021) - [i2]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR abs/2112.07428 (2021) - 2020
- [c2]SeongKu Kang
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020: 605-614 - [c1]Wonbin Kweon
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW 2020: 2810-2816 - [i1]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR abs/2012.04357 (2020)
Coauthor Index
aka: SeongKu Kang
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last updated on 2026-05-08 23:37 CEST by the dblp team
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