Yun-Yong Ko

Orcid: 0000-0003-1283-4697

According to our database1, Yun-Yong Ko authored at least 18 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning.
IEEE Trans. Knowl. Data Eng., April, 2025

HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

2024
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System.
Proc. ACM Hum. Comput. Interact., 2024

2023
CIDER: Category-Guided Intent Disentanglement for Accurate Personalized News Recommendation.
CoRR, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction.
CoRR, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction.
Proceedings of the ACM Web Conference 2023, 2023

SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

D-FEND: a diffusion-based fake news detection framework for news articles related to COVID-19.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

RealGraph<sup>GPU</sup>: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
An In-Depth Analysis of Distributed Training of Deep Neural Networks.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021

ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019
Influence maximization for effective advertisement in social networks: problem, solution, and evaluation.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Influence maximisation in social networks: A target-oriented estimation.
J. Inf. Sci., 2018

Efficient and effective influence maximization in social networks: A hybrid-approach.
Inf. Sci., 2018

2016
Accurate Path-based Methods for Influence Maximization in Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016


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