Zihui Wu

Publication Activity (10 Years)

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

Top Topics

Generalized Em Algorithm

Diffusion Models

Network Services

Prior Probabilities

Top Venues

IEEE Trans. Computational Imaging

GECCO (Companion)

IEEE J. Sel. Top. Signal Process.

Publications

Zihui Wu, Yi Xie, Shensheng Tang, Xingcheng Liu
Estimating the composition ratios of network services carried in mixed traffic. Comput. Commun. 222 (2024)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging 10 (2024)
Zihui Wu, Haichang Gao, Jianping He, Ping Wang
The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models. CoRR (2024)
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. CoRR (2024)
Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. CoRR (2023)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. CoRR (2023)
Zihui Wu, Haichang Gao, Bingqian Zhou, Ping Wang
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness. CoRR (2023)
Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
Demystifying Oversmoothing in Attention-Based Graph Neural Networks. NeurIPS (2023)
Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
Provable Probabilistic Imaging using Score-Based Generative Priors. CoRR (2023)
Shudong Zhang, Haichang Gao, Tianwei Zhang, Yunyi Zhou, Zihui Wu
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. CoRR (2022)
Zihui Wu, Haichang Gao, Bingqian Zhou, Xiaoyan Guo, Shudong Zhang
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. CoRR (2022)
Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang
Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. KSEM (3) (2022)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR (2021)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS (2021)
Guiqing Li, Zihui Wu, Yuxin Liu, Huiqian Zhang, Yongwei Nie, Aihua Mao
3D hand reconstruction from a single image based on biomechanical constraints. Vis. Comput. 37 (9-11) (2021)
Yu Sun, Zihui Wu, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov
Scalable Plug-and-Play ADMM With Convergence Guarantees. IEEE Trans. Computational Imaging 7 (2021)
Zihui Wu, Yi Xie, Ziyang Wu
A Light-Weight Scheme for Detecting Component Structure of Network Traffic. PDCAT (2021)
Yu Sun, Zihui Wu, Brendt Wohlberg, Ulugbek S. Kamilov
Scalable Plug-and-Play ADMM with Convergence Guarantees. CoRR (2020)
Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov
SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
Online Regularization by Denoising with Applications to Phase Retrieval. CoRR (2019)
Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov
Online Regularization by Denoising with Applications to Phase Retrieval. ICCV Workshops (2019)
Zihui Wu, Ying Lin, Yue-jiao Gong, Zhengjia Dai, Jun Zhang
A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. GECCO (Companion) (2018)