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Yuhan Dong
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Contrastive Learning for Low-light Raw Denoising


May 05, 2023
Taoyong Cui, Yuhan Dong

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Bokeh Rendering Based on Adaptive Depth Calibration Network


Feb 21, 2023
Lu Liu, Lei Zhou, Yuhan Dong

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* 6 pages, 6 figures 
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Federated contrastive learning models for prostate cancer diagnosis and Gleason grading


Feb 17, 2023
Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu

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* 11 pages 
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TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks


Dec 10, 2022
Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu

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CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS


Jul 16, 2022
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

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* accepted by ECCV 2022 (14 pages main texts) 
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A Fair Federated Learning Framework With Reinforcement Learning


May 26, 2022
Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao

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Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference


May 06, 2022
Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

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* 12 pages, 7 figures 
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RCMNet: A deep learning model assists CAR-T therapy for leukemia


May 06, 2022
Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin

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