A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. - Zihui Wu; Ying Lin 001; Yue-jiao Gong; Zhengjia Dai; Jun Zhang 003 (GECCO (Companion), 2018)

Online Regularization by Denoising with Applications to Phase Retrieval. - Zihui Wu; Yu Sun 022; Jiaming Liu 001; Ulugbek Kamilov (ICCV Workshops, 2019)

Scalable Plug-and-Play ADMM with Convergence Guarantees. - Yu Sun 022; Zihui Wu; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. - Zihui Wu; Yu Sun 022; Alex Matlock; Jiaming Liu 001; Lei Tian 005; Ulugbek S. Kamilov (IEEE J. Sel. Top. Signal Process., 2020)

End-to-End Sequential Sampling and Reconstruction for MRI. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (ML4H@NeurIPS, 2021)

A Light-Weight Scheme for Detecting Component Structure of Network Traffic. - Zihui Wu; Yi Xie 002; Ziyang Wu (PDCAT, 2021)

End-to-End Sequential Sampling and Reconstruction for MR Imaging. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (CoRR, 2021)

Scalable Plug-and-Play ADMM With Convergence Guarantees. - Yu Sun 022; Zihui Wu; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 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)

Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. - Shudong Zhang; Haichang Gao; Yunyi Zhou; Zihui Wu; Yiwen Tang (KSEM (3), 2022)

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. - Shudong Zhang; Haichang Gao; Tianwei Zhang 004; Yunyi Zhou; Zihui Wu (CoRR, 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)

Demystifying Oversmoothing in Attention-Based Graph Neural Networks. - Xinyi Wu 003; Amir Ajorlou; Zihui Wu; Ali Jadbabaie (NeurIPS, 2023)

AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness. - Zihui Wu; Haichang Gao; Bingqian Zhou; Ping Wang 027 (CoRR, 2023)

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. - Zihui Wu; Yu Sun 022; Yifan Chen; Bingliang Zhang; Yisong Yue; Katherine L. Bouman (NeurIPS, 2024)

Estimating the composition ratios of network services carried in mixed traffic. - Zihui Wu; Yi Xie 002; Shensheng Tang; Xingcheng Liu (Comput. Commun., 2024)

Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization. - Zihui Wu; Haichang Gao; Ping Wang 003; Shudong Zhang; Zhaoxiang Liu; Shiguo Lian (CoRR, 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)

Provable Probabilistic Imaging Using Score-Based Generative Priors. - Yu Sun 022; Zihui Wu; Yifan Chen; Berthy T. Feng; Katherine L. Bouman (IEEE Trans. Computational Imaging, 2024)

Learning Task-Specific Strategies for Accelerated MRI. - Zihui Wu; Tianwei Yin; Yu Sun 022; Robert Frost; André J. W. van der Kouwe; Adrian V. Dalca; 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 008; Ping Wang 027 (COLING, 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 (CVPR, 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 022; Nikola Borislavov Kovachki; Zachary E. Ross; Katherine L. Bouman; Yisong Yue (ICLR, 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, 2025)

HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor. - Zihui Wu; Haichang Gao; Jiacheng Luo; Zhaoxiang Liu (CoRR, 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, 2025)