We stand with Ukraine

We stand with Ukraine

Wonbin Kweon

Orcid: 0000-0002-8813-3179

According to our database¹, Wonbin Kweon authored at least 31 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization.

[DOI]

,

,

,

,

,

CoRR, April, 2026

Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering.

[DOI]

Jash Rajesh Parekh

,

,

,

Rezarta Islamaj

,

,

Pengcheng Jiang

,

,

,

,

CoRR, February, 2026

MultiCube-RAG for Multi-hop Question Answering.

[DOI]

,

,

,

,

,

,

,

,

,

,

CoRR, February, 2026

BPL: Bias-Adaptive Preference Distillation Learning For Recommender System.

[DOI]

,

,

,

,

,

,

,

,

IEEE Trans. Knowl. Data Eng., January, 2026

Improving Scientific Document Retrieval with Academic Concept Index.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, January, 2026

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval.

[DOI]

,

,

,

Pengcheng Jiang

,

,

,

Proceedings of the ACM Web Conference 2026, 2026

Harmonic Dataset Distillation for Time Series Forecasting.

[DOI]

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Personalized Federated Recommendation With Knowledge Guidance.

[DOI]

,

,

,

,

,

CoRR, November, 2025

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems.

[DOI]

,

,

,

,

,

Trans. Recomm. Syst., September, 2025

Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment.

[DOI]

,

,

,

CoRR, August, 2025

Uncertainty Quantification and Decomposition for LLM-based Recommendation.

[DOI]

,

,

,

Proceedings of the ACM on Web Conference 2025, 2025

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.

[DOI]

,

,

,

,

,

,

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences.

[DOI]

,

,

,

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Topic Coverage-based Demonstration Retrieval for In-Context Learning.

[DOI]

,

,

,

Pengcheng Jiang

,

,

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Federated Continual Recommendation.

[DOI]

,

,

,

,

,

,

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning.

[DOI]

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria.

[DOI]

,

,

,

CoRR, 2024

Confidence Calibration for Recommender Systems and Its Applications.

[DOI]

CoRR, 2024

Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random.

[DOI]

,

Proceedings of the ACM on Web Conference 2024, 2024

Top-Personalized-K Recommendation.

[DOI]

,

,

,

Proceedings of the ACM on Web Conference 2024, 2024

Rectifying Demonstration Shortcut in In-Context Learning.

[DOI]

,

,

,

,

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Continual Collaborative Distillation for Recommender System.

[DOI]

,

,

,

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Distillation from Heterogeneous Models for Top-K Recommendation.

[DOI]

,

,

,

,

,

Proceedings of the ACM Web Conference 2023, 2023

2022

Personalized Knowledge Distillation for Recommender System.

[DOI]

,

,

,

Knowl. Based Syst., 2022

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.

[DOI]

,

,

,

,

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Obtaining Calibrated Probabilities with Personalized Ranking Models.

[DOI]

,

,

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Item-side ranking regularized distillation for recommender system.

[DOI]

,

,

,

Inf. Sci., 2021

Bidirectional Distillation for Top-K Recommender System.

[DOI]

,

,

Proceedings of the WWW '21: The Web Conference 2021, 2021

Topology Distillation for Recommender System.

[DOI]

,

,

,

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Deep Rating Elicitation for New Users in Collaborative Filtering.

[DOI]

,

,

,

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.

[DOI]

,

,

,

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Loading...