Yizhou Wang

According to our database, Yizhou Wang authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

IEEE Trans. Knowl. Data Eng., December, 2024

Towards Zero-shot 3D Anomaly Localization.

Yizhou Wang, Kuan-Chuan Peng, Yun Fu

CoRR, 2024

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.

Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li

CoRR, 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation.

Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rewrite the Stars.

Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.

Yan Yang, Yizhou Wang, Jiazhen Wang, Jian Sun, Zongben Xu

SIAM J. Imaging Sci., September, 2023

Towards Explainable Visual Anomaly Detection.

Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu

CoRR, 2023

Concentric Ring Loss for Face Forgery Detection.

Yu Yin, Yue Bai, Yizhou Wang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.

Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning.

Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Reconstruction-based Method Great Again for Video Anomaly Detection.

Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

Adaptive Trajectory Prediction via Transferable GNN.

Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Semi-supervised Domain Adaptation against Noisy Labels.

Can Qin, Yizhou Wang, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.

Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

CoRR, 2021

2020

On Computation and Generalization of Generative Adversarial Imitation Learning.

Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020