Zhaoyuan Yang

Orcid: 0000-0003-0011-0093

According to our database1, Zhaoyuan Yang authored at least 19 papers between 2018 and 2024.

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

2024
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Grounded Language Acquisition from Object and Action Imagery.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

Adversarial Purification with the Manifold Hypothesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Probabilistic and semantic descriptions of image manifolds and their applications.
Frontiers Comput. Sci., 2023

Transferable Attack for Semantic Segmentation.
CoRR, 2023

Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications.
CoRR, 2023

Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder.
CoRR, 2023

2022
Adaptive Test-Time Defense with the Manifold Hypothesis.
CoRR, 2022

Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles.
CoRR, 2022

Dropout Inference with Non-Uniform Weight Scaling.
CoRR, 2022

2021
K-Modes Clustering Algorithm Based on Weighted Overlap Distance and Its Application in Intrusion Detection.
Sci. Program., 2021

On Adversarial Vulnerability of PHM algorithms: An Initial Study.
CoRR, 2021

2020
Adversarial Vulnerability in Doppler-based Human Activity Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Variational Encoder-Based Reliable Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Empirical Confidence Models for Supervised Machine Learning.
Proceedings of the Advances in Artificial Intelligence, 2020

Justification-Based Reliability in Machine Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Design of intentional backdoors in sequential models.
CoRR, 2019

2018
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks.
CoRR, 2018


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