Zhaoyuan Yang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Activity Recognition

Diffusion Models

Language Acquisition

Semantic Descriptions

Top Venues

Canadian Conference on AI

Publications

Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard Hartley
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. ICLR (2024)
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
Adversarial Purification with the Manifold Hypothesis. AAAI (2024)
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard I. Hartley
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. CoRR (2023)
Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications. CoRR (2023)
Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai
Transferable Attack for Semantic Segmentation. CoRR (2023)
James Robert Kubricht, Zhaoyuan Yang, Jianwei Qiu, Peter Henry Tu
Grounded Language Acquisition From Object and Action Imagery. CoRR (2023)
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models. CoRR (2023)
Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang
Probabilistic and semantic descriptions of image manifolds and their applications. Frontiers Comput. Sci. 5 (2023)
Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR (2023)
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
Adaptive Test-Time Defense with the Manifold Hypothesis. CoRR (2022)
Zhaoyuan Yang, Arpit Jain
Dropout Inference with Non-Uniform Weight Scaling. CoRR (2022)
Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, Nurali Virani
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles. CoRR (2022)
Yawen Dai, Guanghui Yuan, Zhaoyuan Yang, Bin Wang
K-Modes Clustering Algorithm Based on Weighted Overlap Distance and Its Application in Intrusion Detection. Sci. Program. 2021 (2021)
Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
On Adversarial Vulnerability of PHM algorithms: An Initial Study. CoRR (2021)
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
Variational Encoder-based Reliable Classification. CoRR (2020)
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
Justification-Based Reliability in Machine Learning. AAAI (2020)
Zhaoyuan Yang, Yang Zhao, Weizhong Yan
Adversarial Vulnerability in Doppler-based Human Activity Recognition. IJCNN (2020)
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
Variational Encoder-Based Reliable Classification. ICIP (2020)
Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
Empirical Confidence Models for Supervised Machine Learning. Canadian Conference on AI (2020)
Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani
Design of intentional backdoors in sequential models. CoRR (2019)
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
Justification-Based Reliability in Machine Learning. CoRR (2019)
Abhishek Gupta, Zhaoyuan Yang
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks. CoRR (2018)