Donghyun Kim@Oath (Yahoo! Inc.)

Publications

[C12] Unsupervised Differentiable Multi-aspect Network Embedding [ paper | page ]
Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Jiawei Han, Hwanjo Yu
2020 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20, full paper, 16.8% accepted at research track)

[C11] Unsupervised Attributed Multiplex Network Embedding [ paper | page ]
Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20, full paper, 20.6% accepted)

[J3] An Encoder-Decoder Switch Network for Purchase Prediction [ paper ]
Chanyoung Park, Donghyun Kim, Hwanjo Yu
Knowledge-Based Systems, 2019. 12. (SCI, IF: 5.101)

[C10] Task-Guided Pair Embedding in Heterogeneous Network [ paper | page | slide ]
Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
28th ACM International Conference on Information and Knowledge Management (CIKM'19, full paper, 19.4% accepted)

[C9] Visualizing Uncertainty and Alternatives in Event Sequence Predictions
Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao
The ACM CHI Conference on Human Factors in Computing Systems (CHI'19, full paper)

[C8] Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behaviors
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan Rossi, Eunyee Koh
2019 ACM International Conference on Web Search and Data Mining (WSDM'19, full paper, long talk presentation (34/511), 6.65% accepted)

[C7] Collaborative Translational Metric Learning
Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2018 IEEE International Conference on Data Mining (ICDM'18, full paper, 8.86% accepted)

[C6] DSiLOF: Effective and Memory Efficient Local Outlier Detection in Data Streams [ page ]
Gyeong S. Na, Donghyun Kim, Hwanjo Yu
2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18, full paper, 18% accepted)

[J2] Deep Hybrid Recommender Systems via Exploiting Document Context and Statistics of Items
[ paper | page ]
Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
Information Sciences, 2017 (SCI, IF: 4.832)

[C5] Do "Also-Viewed" Products Help User Rating Prediction? [ paper ]
Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
26th International World Wide Web Conference (WWW'17, full paper, 17% accepted)

[J1] Improving Top-K Recommendation with Truster and Trustee Relationship in User Trust Network
[ paper ]
Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
Information Sciences, 2016. 12. (SCI, IF: 4.832)

[C4] Convolutional Matrix Factorization for Document Context-Aware Recommendation
[ paper | page | slide ]
Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
10th ACM Conference on Recommender Systems (ACM RecSys'16, full paper, 18.2% accepted)

[C3] TRecSo: Enhancing Top-k Recommendation With Social Information [ paper | page ]
Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
25th International World-Wide Web Conference (WWW'16, poster)

[C2] Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy
Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu
ACM 9th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'15)

[C1] Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling
Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
9th ACM Conference on Recommender Systems Challenge (ACM RecSysChallenge'15, 10th place, top 1.7%)

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