研究员
博士生导师
个人信息Personal Information
所在单位：类脑智能科学与技术研究院
学历：博士研究生
学位：博士学位
职称：研究员
在职信息：在职
博士生导师
硕士生导师
学科：
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- [1] Convolutional Ordinal Regression Forest for Image Ordinal Estimation -IEEE Transactions on Neural Networks and Learning Systems -2022-01-01 -33
- [2] Hongming Shan, Atul Padole,Fatemeh Homayounieh,Uwe Kruger,Ruhani Doda Khera,Chayanin Nitiwarangkul、 Mannudeep K. Kalra,Ge Wang- Competitive Performance of a Modularized Deep Neural Network Compared to Commercial Algorithms for Low-Dose CT Image Reconstruction -Nature Machine Intelligence -2019-06-13 -6
- [3] Zhizhong Huang, Junping Zhang、 Hongming Shan- When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark -IEEE Transactions on Pattern Analysis and Machine Intelligence -2022-10-28
- [4] Zhizhong Huang, Jie Chen,Junping Zhang、 Hongming Shan- Learning Representation for Clustering Via Prototype Scattering and Positive Sampling -IEEE Transactions on Pattern Analysis and Machine Intelligence -2022-10-21
- [5] Hongming Shan, Uwe Kruger、 Junping Zhang- Framework of Randomized Distribution Features for Visual Representation and Categorization -IEEE Transactions on Cybernetics -2019-09-01 -49
- [6] Hongming Shan, Qingsong Yang,Uwe Kruger,Mannudeep K. Kalra,Ling Sun,Wenxiang Cong、 Yi Zhang,Ge Wang- 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network -IEEE Transactions on Medical Imaging -2018-06-01 -37
- [7] Hanqing Chao, Hongming Shan,Fatemeh Homayounieh,Ramandeep Singh,Ruhani Doda Khera,Hengtao Guo,Timothy Su、 Ge Wang,Mannudeep K. Kalra,Pingkun Yan- Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography -Nature Communications -2021-05-01 -12
- [8] An International Validation of Knowledge-Based Planning -Medical Physics -2021-01-01 -48
- [9] Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising -IEEE Transactions on Radiation and Plasma Medical Sciences -2021-01-01 -5
- [10] Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules -Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020 -2020-01-01
- [11] Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network -IEEE Transactions on Medical Imaging -2021-01-01 -40
- [12] PFA-GAN: Progressive Face Aging With Generative Adversarial Network -IEEE Transactions on Information Forensics and Security -2021-01-01 -16
- [13] Multi-Task GANs for View-Specific Feature Learning in Gait Recognition -IEEE Transactions on Information Forensics and Security -2019-01-01 -14
- [14] Population Density-based Hospital Recommendation with Mobile LBS Big Data -2018 IEEE International Conference on Big Data and Smart Computing (Bigcomp) -2018-01-01
- [15] Framework of Randomized Distribution Features for Visual Representation and Categorization -IEEE Transactions on Cybernetics -2019-01-01 -49
- [16] Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction -IEEE Transactions on Cybernetics -2016-01-01 -46
- [17] 单洪明, 采用密度估计进行物体计数 -计算机科学与探索 -2013-01-01 -7
- [18] Randomized Distribution Feature for Image Classification -ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE -2016-01-01 -285
- [19] 单洪明, 实值多变量维数约简:综述 -自动化学报 -2018-01-01 -44
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