Junyoung Hwang

Orcid: 0009-0007-8852-2610

According to our database1, Junyoung Hwang authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Leveraging Historical and Current Interests for Continual Sequential Recommendation.
CoRR, June, 2025

2024
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers.
CoRR, 2024

Multi-Domain Sequential Recommendation via Domain Space Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Spiking Transformer Hardware Accelerators in 3D Integration.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.
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.
Inf. Sci., 2021

Topology Distillation for Recommender System.
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.
Inf. Sci., 2020

Deep Rating Elicitation for New Users in Collaborative Filtering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Modal Component Embedding for Fake News Detection.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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