Zhaoyuan Yang - RankMe

38 papers A* 8B 4Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Physical Attack for Segmentation-Based Visual Foundation Models. IJCNN Mengqi He, Jinhong Ni, Zhaoyuan Yang, Yiwei Fu, John Karigiannis, Jing Zhang
2025	A*	`conf`	Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition. ICLR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang
2025	J	`jnl`	Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition. CoRR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang
2025	J	`jnl`	Few Tokens Matter: Entropy Guided Attacks on Vision-Language Models. CoRR Mengqi He, Xinyu Tian, Xin Shen, Jinhong Ni, Shu Zou, Zhaoyuan Yang, Jing Zhang
2025	A*	`conf`	Identifying and Mitigating Position Bias of Multi-image Vision-Language Models. CVPR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2025	J	`jnl`	Identifying and Mitigating Position Bias of Multi-image Vision-Language Models. CoRR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2025	J	`jnl`	More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models. CoRR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Fabian Waschkowski, Lukas Wesemann, Peter H. Tu, Jing Zhang
2025	A*	`conf`	Probability Density Geodesics in Image Diffusion Latent Space. CVPR Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025	J	`jnl`	Probability Density Geodesics in Image Diffusion Latent Space. CoRR Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025	—	`conf`	SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. AI (1) Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang
2025	J	`jnl`	SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models. CoRR Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang
2025	J	`jnl`	Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting. CoRR Shu Zou, Xinyu Tian, Lukas Wesemann, Fabian Waschkowski, Zhaoyuan Yang, Jing Zhang
2024	A*	`conf`	Adversarial Purification with the Manifold Hypothesis. AAAI Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
2024	A*	`conf`	ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models. CVPR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2024	A*	`conf`	DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models. NeurIPS Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
2024	J	`jnl`	DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models. CoRR Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
2024	B	`conf`	Grounded Language Acquisition from Object and Action Imagery. AVSS James Kubricht, Zhaoyuan Yang, Jianwei Qiu, Peter H. Tu
2024	A*	`conf`	IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. ICLR Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard Hartley
2023	J	`jnl`	ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models. CoRR Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2023	J	`jnl`	Grounded Language Acquisition From Object and Action Imagery. CoRR James Robert Kubricht, Zhaoyuan Yang, Jianwei Qiu, Peter Henry Tu
2023	J	`jnl`	IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. CoRR Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard I. Hartley
2023	J	`jnl`	Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications. CoRR Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang
2023	J	`jnl`	Probabilistic and semantic descriptions of image manifolds and their applications. Frontiers Comput. Sci. Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang
2023	J	`jnl`	Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang
2023	J	`jnl`	Transferable Attack for Semantic Segmentation. CoRR Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai
2022	J	`jnl`	Adaptive Test-Time Defense with the Manifold Hypothesis. CoRR Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
2022	J	`jnl`	Dropout Inference with Non-Uniform Weight Scaling. CoRR Zhaoyuan Yang, Arpit Jain
2022	J	`jnl`	Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles. CoRR Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, Nurali Virani
2021	J	`jnl`	K-Modes Clustering Algorithm Based on Weighted Overlap Distance and Its Application in Intrusion Detection. Sci. Program. Yawen Dai, Guanghui Yuan, Zhaoyuan Yang, Bin Wang
2021	J	`jnl`	On Adversarial Vulnerability of PHM algorithms: An Initial Study. CoRR Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
2020	B	`conf`	Adversarial Vulnerability in Doppler-based Human Activity Recognition. IJCNN Zhaoyuan Yang, Yang Zhao, Weizhong Yan
2020	—	`conf`	Empirical Confidence Models for Supervised Machine Learning. Canadian AI Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
2020	A*	`conf`	Justification-Based Reliability in Machine Learning. AAAI Nurali Virani, Naresh Iyer, Zhaoyuan Yang
2020	B	`conf`	Variational Encoder-Based Reliable Classification. ICIP Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
2020	J	`jnl`	Variational Encoder-based Reliable Classification. CoRR Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
2019	J	`jnl`	Design of intentional backdoors in sequential models. CoRR Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani
2019	J	`jnl`	Justification-Based Reliability in Machine Learning. CoRR Nurali Virani, Naresh Iyer, Zhaoyuan Yang
2018	J	`jnl`	Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks. CoRR Abhishek Gupta, Zhaoyuan Yang