Content-Adaptive Image Compressed Sensing Using Deep Learning. - Liqun Zhong; Shuai Wan; Leyi Xie; Shun Zhang (APSIPA, 2018)

Blind Denoising of Fluorescence Microscopy Images Using GAN-Based Global Noise Modeling. - Liqun Zhong; Guole Liu; Ge Yang 002 (ISBI, 2021)

Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images. - Liqun Zhong; Ge Yang 002; Lingrui Li (IEEE DataPort, 2022)

Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness. - Liqun Zhong; Kaijie Zhu; Ge Yang 002 (ICPR (1), 2024)

Improve Corruption Robustness of Intracellular Structures Segmentation in Fluorescence Microscopy Images. - Liqun Zhong; Yanfeng Zhou; Ge Yang 002 (PRCV (8), 2024)

Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images Updated. - Liqun Zhong; Lingrui Li; Ge Yang 002 (IEEE DataPort, 2024)

Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy images. - Liqun Zhong; Lingrui Li; Ge Yang 002 (BMC Bioinform., 2024)