Zihui Wu

According to our database, Zihui Wu authored at least 30 papers between 2018 and 2026.

Collaborative distances:

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

2026

POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery.

Zihui Wu, Liam Connor, Samuel McCarty, Katherine L. Bouman

CoRR, March, 2026

GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization.

Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HumorReject: Decoupling LLM Safety from Refusal Prefix via a Little Humor.

Zihui Wu, Haichang Gao, Jiacheng Luo, Zhaoxiang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors.

Hongkai Zheng, Austin Wang, Zihui Wu, Zhengyu Huang, Ricardo Baptista, Yisong Yue

CoRR, October, 2025

STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors.

Bingliang Zhang, Zihui Wu, Berthy T. Feng, Yang Song, Yisong Yue, Katherine L. Bouman

CoRR, April, 2025

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning.

Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye

CoRR, January, 2025

Split Gibbs Discrete Diffusion Posterior Sampling.

Wenda Chu, Zihui Wu, Yifan Chen, Yang Song, Yisong Yue

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.

Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns.

Armeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Zihui Wu, Haichang Gao, Jianping He, Ping Wang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators.

Armeet Singh Jatyani, Jiayun Wang, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar

CoRR, 2024

Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization.

Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian

CoRR, 2024

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

Zihui Wu, Yi Xie, Shensheng Tang, Xingcheng Liu

Comput. Commun., 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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