昌毅
个人信息
Personal information
副教授 硕士生导师
性别：男
在职信息：在职
所在单位：人工智能与自动化学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：计算机应用技术模式识别与智能系统
曾获荣誉：
2022 武汉英才·优秀青年人才
2022 小米青年学者
2021 鹏城国家实验室优秀博士后
2020 博士后创新人才支撑计划
2018 博士研究生国家奖学金
2015 湖北省优秀硕士学位论文
- [21] Yi Chang, Luxin Yan*, Meiya Chen, Houzhang Fang, and Sheng Zhong,Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition.IEEE Trans. on Instrumentation and Measurement(TIM), 2019,
- [22] Yi Chang, Luxin Yan*, Li Liu, Houzhang Fang, and Sheng Zhong,Infrared Aero-Thermal Nonuniform Correction via Deep Multiscale Residual Network.IEEE Geoscience and Remote Sensing Letter(GRSL), 2019,
- [23] Shoukui Yao^, Yi Chang^, and Xiaojuan Qin.,A Coarse-to-Fine Method For Infrared Small Target Detection.IEEE Geoscience and Remote Sensing Letter(GRSL), 2019,
- [24] Wenfei Cao, Yi Chang, Guodong Han, and Junbing Li*,Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation.IEEE Geoscience and Remote Sensing Letter(GRSL), 2018,
- [25] Shoukui Yao, Yi Chang, Xiaojuan Qin, Yaozong Zhang, Tianxu Zhang*,Principal Component Dictionary-based Patch Grouping for Image Denoising.Journal of Visual Communication and Image Representation(JVCIR), 2018,
- [26] Yi Chang, Luxin Yan*, Sheng Zhong,Transformed Low-rank Model for Line Pattern Noise Removal.IEEE International Conference on Computer Vision(ICCV), 2017,
- [27] Yi Chang, Luxin Yan*, Sheng Zhong,Hyper-Laplacian Regularized Unidirectional Low-rank Tensor Recovery for Multispectral Image Denoising.IEEE Computer Vision and Pattern Recognition(CVPR), 2017,
- [28] uxin Yan*, Wenshan Liao, Yi Chang, Chunan Luo,Joint Local and Non-local Priors for Ground-based Image Denoising.IEEE International Geoscience and Remote Sensing Symposium(IGARSS), 2017,
- [29] Yi Chang, Luxin Yan*, Sheng Zhong,Hyperspectral Image Restoration via Spectral and Spatial Low-rank Approximation.IEEE International Geoscience and Remote Sensing Symposium(IGARSS), 2017,
- [30] Yi Chang, Luxin Yan, Tao Wu, Sheng Zhong,Remote Sensing Image Stripe Noise Removal: From Image Decomposition Perspective.IEEE Trans. on Geoscience and Remote Sensing(TGRS), 2016,