Yu-Siang Wang

According to our database1, Yu-Siang Wang authored at least 13 papers between 2017 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
xCos: An Explainable Cosine Metric for Face Verification Task.
ACM Trans. Multim. Comput. Commun. Appl., 2021

End-to-End Video Question-Answer Generation With Generator-Pretester Network.
IEEE Trans. Circuits Syst. Video Technol., 2021

Situation and Behavior Understanding by Trope Detection on Films.
Proceedings of the WWW '21: The Web Conference 2021, 2021

OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
xCos: An Explainable Cosine Metric for Face Verification Task.
CoRR, 2020

Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach.
CoRR, 2020

Video Question Generation via Semantic Rich Cross-Modal Self-Attention Networks Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Video Question Generation via Cross-Modal Self-Attention Networks Learning.
CoRR, 2019

Adversarial Attacks Beyond the Image Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch.
J. Biomed. Informatics, 2018

Scene Graph Parsing as Dependency Parsing.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Forensic analysis of network packets from penetration test toolkits.
Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

2017
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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