2001.09-2005.07 武汉大学 电子信息学院 电子信息科学与技术专业 （本科）
2005.09-2010.07 武汉大学 电子信息学院 通信与信息系统专业  （博士）

Image and video processing；
Blind image quality assessment;
Visual tracking

§ Jun liu, Jia Yan, Dexiang Deng, Ruijue Zhang, Fingerprint image quality assessment based on BP neural network with hierarchical clustering, IET Information Security, 2019.

§ Yu Cheng, Jia Yan, Zhou Wang, Enhancement of weakly illuminated images by deep fusion networks, ICIP 2019.

§ Weixia Zhang, Guangtao Zhai, Xiaokang Yang, Jia Yan, Hierarchical features fusion for image aesthetic assessment, ICIP 2019.

§ ShiYong Hu, Jia Yan, Weixia Zhang, Dexiang Deng, No-reference quality assessment of contrast-altered images using end-to-end deep framework, Journal of Electronic Imaging, 2019, 28(1).

§ Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang, Blind image quality assessment using a deep bilinear convolutional neural network, IEEE Transactions on Circuits and Systems for Video Technology, 2019.

§ Weixia Zhang, Jia Yan, Shiyong Hu, Yang Ma, Dexiang Deng, Predicting Perceptual Quality of Images in Realistic Scenario Using Deep Filter Banks, Journal of Electronic Imaging, 2018, 27(2).

§ Yang Ma, Weixia Zhang, Jia Yan, Cien Fan, Wenxuan Shi, Blind image quality assessment in multiple bandpass and redundancy domains, Digital Signal Processing, 2018, 80: 37-47.

§ Xin Fu, Jia Yan, Cien Fan, Image aesthetics assessment using composite features from off-the-shelf deep models, ICIP 2018.

§ Yanting Jiang, Jia Yan, An improved real-time object proposals generation method based on local binary pattern, International Journal of Advanced Robotic Systems, 2017, 14(4). 

§ Lijun Wang, Tao Han, Qiang Li, Jia Yan, Xiong Liu, Dexiang Deng, Cell-less communications in 5G vehicular networks based on vehicle-installed access points, IEEE Wireless Communications SI, 2018, 24(6):64-71. 

§ Weixia Zhang, Jia Yan, Wenxuan Shi, Tianpeng Feng, Dexiang Deng, Refining deep convolutional features for improving fine-grained image recognition, EURASIP Journal on Advances in Signal Processing, 2017, 27

§ Jia Yan, Weixia Zhang, Tianpeng Feng, Blind Image quality assessment based on natural residual statistics，Asian Conference on Computer Vision(ACCV), 2016. (Oral, Top 5%)

§ Jie Li, Jia Yan, Wenxuan Shi, Songfeng Deng, No-reference image quality assessment based on hybrid model，Signal Image & Video Processing, 2017,11(6): 985-992.

§ Tianpeng Feng, Dexiang Deng, Jia Yan, Weixia Zhang, Wenxuan Shi, Lian Zou,  Sparse representation of salient regions for no-reference image quality assessment，International Journal of Advanced Robotic Systems, 2016, 13(5).

§ Jie Li, Lian Zou, Jia Yan, Dexiang Deng, Guihui Xie, No-reference image quality assessment using prewitt magnitude based on convolutional neural networks，Signal Image & Video Processing, 2016, 10(4): 609-616.

§ Jia Yan, Xi Chen, Dexiang Deng, Qiuping Zhu, Visual object tracking via online sparse instance learning, Journal of Visual Communication and Image Representation, 2015, 26: 231-246.

§ Jia Yan, Xi Chen, Dexiang Deng, Qiuping Zhu, Structured partial least squares based appearance model for visual tracking, Neurocomputing, 2014, 144: 581-595.

§ Qiuping Zhu, Jia Yan, Dexiang Deng, Compressive tracking via oversaturated sub-region classifiers, IET Computer Vision, 2013, 7(6): 448-455.

§ Jia Yan, Xi Chen, QiuPing Zhu, Robust online tracking via adaptive samples selection with saliency detection, EURASIP Journal on Advances in Signal Processing, 2013, 1: 1-11.