Zhenyue Qin

Orcid: 0000-0002-3471-6280

According to our database1, Zhenyue Qin authored at least 27 papers between 2018 and 2024.

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

2024
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023
Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images.
CoRR, 2023

Anonymization for Skeleton Action Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network.
Sensors, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
CoRR, 2022

ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark.
CoRR, 2022

Resolving Anomalies in the Behaviour of a Modularity-Inducing Problem Domain with Distributional Fitness Evaluation.
Artif. Life, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Anonymization for Skeleton Action Recognition.
CoRR, 2021

Informative Class Activation Maps.
CoRR, 2021

Neural Network Classifier as Mutual Information Evaluator.
CoRR, 2021

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.
CoRR, 2021

Leveraging Third-Order Features in Skeleton-Based Action Recognition.
CoRR, 2021

Classification Models for Medical Data with Interpretative Rules.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Skeletons on the Stairs: Are They Deceptive?
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Invertible Denoising Network: A Light Solution for Real Noise Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Improving Effectiveness and Efficiency in Wagner's Modularity-Evolving Artificial Gene Regulatory Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Are Deep Neural Architectures Losing Information? Invertibility is Indispensable.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator.
CoRR, 2019

Anomalies in the Behaviour of a Modularity Inducing Problem Domain.
Proceedings of the 2019 Conference on Artificial Life, 2019

Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Visual Saliency Maps Can Apply to Facial Expression Recognition.
CoRR, 2018

Why don't the modules dominate - Investigating the Structure of a Well-Known Modularity-Inducing Problem Domain.
CoRR, 2018

Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers' Pupillary Responses.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Why don't the modules dominate?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018


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