[Google Scholar] [Researchgate] [Github]
[PDF][CODE] Hard Sample Aware Noise Robust Learning for Histopathology Image Classification, Chuang Zhu, Wenkai Chen, Ting Peng, Ying Wang, Mulan Jin, IEEE Transactions on Medical Imaging, 2021/11.
[PDF][CODE][DigestPath2019] Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet, Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin, 2021/5/28, Neurocomputing, 438, 165-183.
[PDF][CODE] Hybrid model enabling highly efficient follicular segmentation in thyroid cytopathological whole slide image, Chuang Zhu, Siyan Tao, Huang Chen, Minzhen Li, Ying Wang, Jun Liu, Mulan Jin, Intelligent Medicine, 2021.
[PDF][CODE] Instance adaptive self-training for unsupervised domain adaptation, Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang, ECCV 2020.
[PDF][CODE] Cross-stained segmentation from renal biopsy images using multi-level adversarial learning，Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao, ICASSP 2020.
[PDF] A novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians, Teng Zhang, Chuang Zhu, Qiaoyun Lu, Jun Liu, Ashish Diwan, Jason Pui Yin Cheung, European Spine Journal, 2020.
[PDF][CODE] Breast cancer histopathology image classification through assembling multiple compact CNNs, Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo, Jun Liu, BMC Medical Informatics and Decision Making, 2019.
[PDF][CODE] Breast cancer image classification on WSI with spatial correlations, Jiandong Ye, Yihao Luo, Chuang Zhu, Fang Liu, Yue Zhang, ICASSP 2019.
[PDF] Breast cancer histology image classification based on deep neural networks, Yao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu, ICIAR 2018.
[PDF][CODE] LLCNN: A convolutional neural network for low-light image enhancement, Li Tao, Chuang Zhu, Guoqing Xiang, Yuan Li, Huizhu Jia, Xiaodong Xie, VCIP 2017. 
[PDF] Low-light image enhancement using CNN and bright channel prior, Li Tao, Chuang Zhu, Jiawen Song, Tao Lu, Huizhu Jia, Xiaodong Xie, ICIP 2017.
[PDF] Smart query expansion scheme for CDVS based on illumination and key features, Tao Lu, Chuang Zhu, Huizhu Jia, Lingyu Duan, Li Tao, Jiawen Song, Xiaodong Xie, Wen Gao, ICPR 2016.
[PDF] Multi-level low-complexity coefficient discarding scheme for video encoder, Chuang Zhu, Huizhu Jia, Jie Liu, Xianghu Ji, Hao Lv, Xiaodong Xie, Wen Gao, ISCAS 2014.
[PDF] On a highly efficient RDO-based mode decision pipeline design for AVS, Chuang Zhu, Huizhu Jia, Shanghang Zhang, Xiaofeng Huang, Xiaodong Xie, Wen Gao, IEEE Transactions on Multimedia, 2013.
[PDF] A highly efficient pipeline architecture of RDO-based mode decision design for AVS HD video encoder, Chuang Zhu, Yuan Li, Hui-zhu Jia, Xiao-dong Xie, Hai-bing Yin, ICME 2011.