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ORCIDDonghyun Kim 0007
Person information
- affiliation: NAVER Corporation, Seongnam, South Korea
- affiliation (former): Yahoo! Inc, Yahoo Research, Sunnyvale, CA, USA
- affiliation (former): Pohang University of Science and Technology, POSTECH, Korea
Other persons with the same name
- Donghyun Kim (aka: DongHyun Kim, Dong-Hyun Kim, Dong Hyun Kim) — disambiguation page
- Donghyun Kim 0001
![[0000-0002-4845-9369]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4845-9369")
— Georgia State University, Atlanta, GA, USA (and 4 more) - Donghyun Kim 0002 — Massachusetts Institute of Technology, Cambridge, MA, USA (and 1 more)
- Donghyun Kim 0003 — Hanwha Systems Co., Ltd., Yongin Research and Development Center, South Korea
- Donghyun Kim 0004 — Korea Advanced Institute of Science and Technology (KAIST), Electrical Engineering Department, Daejeon, South Korea
- Donghyun Kim 0005 (aka: Dong Hyun Kim 0005) — Sungkyunkwan University, Department of Smart Factory Convergence, Suwon, Republic of Korea
- Donghyun Kim 0006 — MIT-IBM Watson AI Lab (and 1 more)
- Donghyun Kim 0008 (aka: Dong-Hyun Kim 0008) — Yonsei University, Department of Electrical and Electronic Engineering, College of Engineering, Seoul, Korea (and 1 more)
- Donghyun Kim 0009 — Hanyang University, Department of Electrical Engineering, Ansan, Korea
- Donghyun Kim 0010 (aka: Dong Hyun Kim 0010) — Yonsei University, Department of Electrical and Electronic Engineering, Seoul, Korea
- Donghyun Kim 0012 (aka: Dong Hyun Kim 0012) — NAVER Corp, Seongnam, South Korea
- Donghyun Kim 0013 — Yonsei University, School of Electrical and Electronic Engineering, Seoul, Korea (and 2 more)
- Donghyun Kim 0014 — Qualcomm, Inc., San Diego, CA, USA (and 1 more)
- Donghyun Kim 0016 — University of Illinois Urbana-Champaign, USA
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2020 – today
- 2024
[c14]Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. KDD 2024: 1395-1406- [i7]Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. CoRR abs/2404.11343 (2024) - 2023
- [c13]Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Task Relation-aware Continual User Representation Learning. KDD 2023: 1107-1119 - [i6]Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Task Relation-aware Continual User Representation Learning. CoRR abs/2306.01792 (2023) - 2020
- [j5]Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Click-aware purchase prediction with push at the top. Inf. Sci. 521: 350-364 (2020) - [c12]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c11]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [i5]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020)
2010 – 2019
- 2019
- [j4]Donghyun Kim, Namyong Kim, Junoh Cho, Hayong Shin:
Optimizing the Multistage University Admission Decision Process. INFORMS J. Appl. Anal. 49(6): 422-429 (2019) - [j3]Chanyoung Park, Donghyun Kim, Hwanjo Yu:
An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. 185 (2019) - [c10]Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao:
Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI 2019: 573 - [c9]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c8]Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671 - [i4]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i3]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. CoRR abs/1906.01637 (2019) - [i2]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019) - 2018
- [c7]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. ICDM 2018: 367-376 - [c6]Gyoung S. Na, Donghyun Kim, Hwanjo Yu:
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD 2018: 1993-2002 - 2017
- [j2]Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu:
Deep hybrid recommender systems via exploiting document context and statistics of items. Inf. Sci. 417: 72-87 (2017) - [c5]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Do "Also-Viewed" Products Help User Rating Prediction? WWW 2017: 1113-1122 - [i1]Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. CoRR abs/1706.06716 (2017) - 2016
- [j1]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Improving top-K recommendation with truster and trustee relationship in user trust network. Inf. Sci. 374: 100-114 (2016) - [c4]Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu:
Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys 2016: 233-240 - [c3]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) 2016: 89-90 - 2015
- [c2]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM 2015: 13 - [c1]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. RecSys Challenge 2015: 8:1-8:4
Coauthor Index
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