Zihui Wu - RankMe

37 papers A* 6B 1C 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization. AAAI Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian
2026	A*	`conf`	HumorReject: Decoupling LLM Safety from Refusal Prefix via a Little Humor. AAAI Zihui Wu, Haichang Gao, Jiacheng Luo, Zhaoxiang Liu
2026	J	`jnl`	POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery. CoRR Zihui Wu, Liam Connor, Samuel McCarty, Katherine L. Bouman
2025	A*	`conf`	A Unified Model for Compressed Sensing MRI Across Undersampling Patterns. CVPR Armeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar
2025	J	`jnl`	Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors. CoRR Hongkai Zheng, Austin Wang, Zihui Wu, Zhengyu Huang, Ricardo Baptista, Yisong Yue
2025	J	`jnl`	ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. CoRR Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye
2025	J	`jnl`	HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor. CoRR Zihui Wu, Haichang Gao, Jiacheng Luo, Zhaoxiang Liu
2025	A*	`conf`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. ICLR 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
2025	J	`jnl`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. CoRR Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025	J	`jnl`	STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors. CoRR Bingliang Zhang, Zihui Wu, Berthy T. Feng, Yang Song, Yisong Yue, Katherine L. Bouman
2025	B	`conf`	The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models. COLING Zihui Wu, Haichang Gao, Jianping He, Ping Wang
2024	J	`jnl`	Estimating the composition ratios of network services carried in mixed traffic. Comput. Commun. Zihui Wu, Yi Xie, Shensheng Tang, Xingcheng Liu
2024	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2024	J	`jnl`	Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization. CoRR Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian
2024	A*	`conf`	Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. NeurIPS Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024	J	`jnl`	Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. CoRR Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024	J	`jnl`	Provable Probabilistic Imaging Using Score-Based Generative Priors. IEEE Trans. Computational Imaging Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
2024	J	`jnl`	The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models. CoRR Zihui Wu, Haichang Gao, Jianping He, Ping Wang
2024	J	`jnl`	Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators. CoRR Armeet Singh Jatyani, Jiayun Wang, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar
2023	J	`jnl`	AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness. CoRR Zihui Wu, Haichang Gao, Bingqian Zhou, Ping Wang
2023	A*	`conf`	Demystifying Oversmoothing in Attention-Based Graph Neural Networks. NeurIPS Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
2023	J	`jnl`	Demystifying Oversmoothing in Attention-Based Graph Neural Networks. CoRR Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie
2023	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. CoRR Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2023	J	`jnl`	Provable Probabilistic Imaging using Score-Based Generative Priors. CoRR Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
2022	J	`jnl`	Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. CoRR Shudong Zhang, Haichang Gao, Tianwei Zhang, Yunyi Zhou, Zihui Wu
2022	—	`conf`	Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. KSEM (3) Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang
2022	J	`jnl`	Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. CoRR Zihui Wu, Haichang Gao, Bingqian Zhou, Xiaoyan Guo, Shudong Zhang
2021	J	`jnl`	3D hand reconstruction from a single image based on biomechanical constraints. Vis. Comput. Guiqing Li, Zihui Wu, Yuxin Liu, Huiqian Zhang, Yongwei Nie, Aihua Mao
2021	C	`conf`	A Light-Weight Scheme for Detecting Component Structure of Network Traffic. PDCAT Zihui Wu, Yi Xie, Ziyang Wu
2021	J	`jnl`	End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	—	`conf`	End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	J	`jnl`	Scalable Plug-and-Play ADMM With Convergence Guarantees. IEEE Trans. Computational Imaging Yu Sun, Zihui Wu, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. IEEE J. Sel. Top. Signal Process. Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov
2020	J	`jnl`	Scalable Plug-and-Play ADMM with Convergence Guarantees. CoRR Yu Sun, Zihui Wu, Brendt Wohlberg, Ulugbek S. Kamilov
2019	—	`conf`	Online Regularization by Denoising with Applications to Phase Retrieval. ICCV Workshops Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov
2019	J	`jnl`	Online Regularization by Denoising with Applications to Phase Retrieval. CoRR Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
2018	—	`conf`	A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. GECCO (Companion) Zihui Wu, Ying Lin, Yue-Jiao Gong, Zhengjia Dai, Jun Zhang