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Journal Articles
- 2022
[j2]SeongKu Kang
, Dongha Lee, Wonbin Kweon, Hwanjo Yu:
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239: 107958 (2022)- 2021
- [j1]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580: 15-34 (2021)
Conference and Workshop Papers
- 2024
- [c11]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
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, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. WWW 2024: 3388-3399 - [c8]Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. WWW 2024: 3810-3820 - 2023
- [c7]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811 - 2022
- [c6]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI 2022: 4083-4091 - [c5]Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. WWW 2022: 1965-1976 - 2021
- [c4]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. KDD 2021: 829-839 - [c3]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. WWW 2021: 3861-3871 - 2020
- [c2]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020: 605-614 - [c1]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW 2020: 2810-2816
Informal and Other Publications
- 2024
- [i12]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024) - [i11]Wonbin Kweon:
Confidence Calibration for Recommender Systems and Its Applications. CoRR abs/2402.16325 (2024) - [i10]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR abs/2402.16327 (2024) - [i9]Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. CoRR abs/2403.00817 (2024) - [i8]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. CoRR abs/2403.09488 (2024) - [i7]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. CoRR abs/2405.19046 (2024) - 2023
- [i6]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023) - 2022
- [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
- [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
- [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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