Zihui Wu

According to our database, Zihui Wu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Learning Task-Specific Strategies for Accelerated MRI.

Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2024

Provable Probabilistic Imaging Using Score-Based Generative Priors.

Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2024

The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models.

Zihui Wu, Haichang Gao, Jianping He, Ping Wang

CoRR, 2024

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

CoRR, 2024

Estimating the composition ratios of network services carried in mixed traffic.

Zihui Wu, Yi Xie, Shensheng Tang, Xingcheng Liu

Comput. Commun., 2024

2023

AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness.

Zihui Wu, Haichang Gao, Bingqian Zhou, Ping Wang

CoRR, 2023

Demystifying Oversmoothing in Attention-Based Graph Neural Networks.

Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training.

Zihui Wu, Haichang Gao, Bingqian Zhou, Xiaoyan Guo, Shudong Zhang

CoRR, 2022

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization.

Shudong Zhang, Haichang Gao, Tianwei Zhang, Yunyi Zhou, Zihui Wu

CoRR, 2022

Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training.

Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang

Proceedings of the Knowledge Science, Engineering and Management, 2022

2021

3D hand reconstruction from a single image based on biomechanical constraints.

Guiqing Li, Zihui Wu, Yuxin Liu, Huiqian Zhang, Yongwei Nie, Aihua Mao

Vis. Comput., 2021

Scalable Plug-and-Play ADMM With Convergence Guarantees.

Yu Sun, Zihui Wu, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2021

End-to-End Sequential Sampling and Reconstruction for MR Imaging.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

CoRR, 2021

A Light-Weight Scheme for Detecting Component Structure of Network Traffic.

Zihui Wu, Yi Xie, Ziyang Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

End-to-End Sequential Sampling and Reconstruction for MRI.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

Proceedings of the Machine Learning for Health, 2021

2020

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors.

Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov

IEEE J. Sel. Top. Signal Process., 2020

Scalable Plug-and-Play ADMM with Convergence Guarantees.

Yu Sun, Zihui Wu, Brendt Wohlberg, Ulugbek S. Kamilov

CoRR, 2020

2019

Online Regularization by Denoising with Applications to Phase Retrieval.

Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range.

Zihui Wu, Ying Lin, Yue-jiao Gong, Zhengjia Dai, Jun Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018