Junyoung Hwang

According to our database, Junyoung Hwang authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Domain Sequential Recommendation via Domain Space Learning.

Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.

Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.

Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Item-side ranking regularized distillation for recommender system.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

Inf. Sci., 2021

Topology Distillation for Recommender System.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

PUMAD: PU Metric learning for anomaly detection.

Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu

Inf. Sci., 2020

Deep Rating Elicitation for New Users in Collaborative Filtering.

Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Modal Component Embedding for Fake News Detection.

SeongKu Kang, Junyoung Hwang, Hwanjo Yu

Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Action Space Learning for Heterogeneous User Behavior Prediction.

Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.

SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019