Kevin Yen

Orcid: 0000-0002-0242-0901

According to our database1, Kevin Yen authored at least 13 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals.
IEEE Trans. Vis. Comput. Graph., August, 2024

2023
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Automatic labeling of Parkinson's Disease gait videos with weak supervision.
Medical Image Anal., October, 2023

2022
SmartGD: A Self-Challenging Generative Adversarial Network for Graph Drawing.
CoRR, 2022

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN.
IEEE Computer Graphics and Applications, 2021

BERT-Beta: A Proactive Probabilistic Approach to Text Moderation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Political Posters Identification with Appearance-Text Fusion.
CoRR, 2020

HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TNT: Text Normalization based Pre-training of Transformers for Content Moderation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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