Sanghwan Jang

22 papers A* 8Journal 12Unranked 2
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 A* conf
Dynamic Multi-period Experts for Online Time Series Forecasting.
WWW
Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
2026 J jnl
Dynamic Multi-period Experts for Online Time Series Forecasting.
CoRR
Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
2026 A* conf
Harmonic Dataset Distillation for Time Series Forecasting.
AAAI
Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
2026 J jnl
Harmonic Dataset Distillation for Time Series Forecasting.
CoRR
Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, 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 J jnl
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models.
CoRR
Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu
2025 A* conf
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models.
EMNLP
Kyumin Lee, Minjin Jeon, Sanghwan Jang, 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
2024 — conf
Exploring Language Model's Code Generation Ability with Auxiliary Functions.
NAACL-HLT (Findings)
Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu
2024 J jnl
Exploring Language Model's Code Generation Ability with Auxiliary Functions.
CoRR
Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu
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
Rectifying Demonstration Shortcut in In-Context Learning.
NAACL-HLT
Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
2024 J jnl
Rectifying Demonstration Shortcut in In-Context Learning.
CoRR
Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, 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
2022 J jnl
Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description.
CoRR
Sanghwan Jang