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2020 – today
- 2026
[j1]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. IEEE Trans. Knowl. Data Eng. 38(1): 110-122 (2026)- [c10]Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu:
Harmonic Dataset Distillation for Time Series Forecasting. AAAI 2026: 21770-21778 - [c9]Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu:
Dynamic Multi-period Experts for Online Time Series Forecasting. WWW 2026: 7669-7678 - [i12]Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu:
Harmonic Dataset Distillation for Time Series Forecasting. CoRR abs/2603.03760 (2026) - [i11]Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu:
Dynamic Multi-period Experts for Online Time Series Forecasting. CoRR abs/2603.09062 (2026) - [i10]Jaehyun Lee, Sanghwan Jang, SeongKu Kang, Hwanjo Yu:
Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders. CoRR abs/2604.07825 (2026) - 2025
- [c8]Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu:
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. EMNLP 2025: 29501-29523 - [c7]Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu:
Uncertainty Quantification and Decomposition for LLM-based Recommendation. WWW 2025: 4889-4901 - [i9]Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu:
Uncertainty Quantification and Decomposition for LLM-based Recommendation. CoRR abs/2501.17630 (2025) - [i8]Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu:
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. CoRR abs/2510.07923 (2025) - [i7]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) - 2024
- [c6]Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. AAAI 2024: 8582-8590 - [c5]Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CVPR 2024: 22477-22487 - [c4]Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu:
Exploring Language Model's Code Generation Ability with Auxiliary Functions. NAACL-HLT (Findings) 2024: 2836-2848 - [c3]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. NAACL-HLT 2024: 4294-4321 - [c2]Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR 2024: 2134-2144 - [c1]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. WWW 2024: 3388-3399 - [i6]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024) - [i5]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. CoRR abs/2403.09488 (2024) - [i4]Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu:
Exploring Language Model's Code Generation Ability with Auxiliary Functions. CoRR abs/2403.10575 (2024) - [i3]Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. CoRR abs/2403.17374 (2024) - [i2]Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CoRR abs/2405.19902 (2024) - 2022
- [i1]Sanghwan Jang:
Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description. CoRR abs/2212.03575 (2022)
Coauthor Index
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