activity
20062023
most citedSingle multimode fiber for in vivo light-field encoded nano-imaging

174 citations · 484 across the 31 of their papers we have counts for

collaborators

31 papers

physics.app-ph2023

Polyimides Crosslinked by Aromatic Molecules and Nanocomposites for High Temperature Capacitive Energy Storage

Feng Wang, Hao Wang, Xiaoming Shi +7

High temperature polymer-based dielectric capacitors are crucial for application in electronic power systems. However, the storage performance of conventional dielectrics polymer d…

physics.ins-det2023

Multi-energy X-ray linear-array detector enabled by the side-illuminated metal halide scintillator

Peng Ran, Qingrui Yao, Juan Hui +5

Conventional scintillator-based X-ray imaging typically captures the full spectral of X-ray photons without distinguishing their energy. However, the absence of X-ray spectral info…

cs.CV2023★ 4 cited

Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

Xuannan Liu, Yaoyao Zhong, Yuhang Zhang +2

Deep neural networks are vulnerable to universal adversarial perturbation (UAP), an instance-agnostic perturbation capable of fooling the target model for most samples. Compared to…

eess.IV2023★ 2 cited

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains

Xuan Liu, Yaoqin Xie, Songhui Diao +2

During the process of computed tomography (CT), metallic implants often cause disruptive artifacts in the reconstructed images, impeding accurate diagnosis. Several supervised deep…

cs.CL2023★ 19 cited

Evaluating Large Language Models for Radiology Natural Language Processing

Zhengliang Liu, Tianyang Zhong, Yiwei Li +43

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP). LLMs have revolutionized a multitude of domains, and they hav…

cs.NE2023★ 8 cited

Im2win: Memory Efficient Convolution On SIMD Architectures

Shuai Lu, Jun Chu, Xu T. Liu

Convolution is the most expensive operation among neural network operations, thus its performance is critical to the overall performance of neural networks. Commonly used convoluti…