个人简历

教育经历\r
2003年09月-2006年07月，浙江大学，信息与通信工程，博士 \r
1996年09月-2003年09月，哈尔滨理工大学，机械、材料学院，学士与硕士 \r
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工作经历\r
2017年06月-2017年09月，伦敦大学学院(UCL)，统计科学系，访问学者\r
2013年12月-至今，清华大学深圳研究生院，信息科学与技术学部，副教授\r
2009年12月-2013年12月，清华大学深圳研究生院，信息科学与技术学部，讲师\r
2008年01月-2009年12月，清华大学，信息与通信工程，博士后\r
2006年07月-2007年12月，中国计量学院，计算机系，讲师\r
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学术兼职\r
IEEE Senior Member、中国人工智能学会模式识别专委会委员、青年工作委员会常务委员、中国图像图形学会机器视觉专委会委员、视觉大数据专委会委员；受邀2015年中国生物识别学术会议程序委员会委员、受邀2016年中国模式识别学术会议程序委员会委员、受邀2018亚洲人工智能技术国际学术会议程序委员会委员、受邀2018 IEEE VCIP国际学术会议程序委员会委员、IET CAAI Transaction on Intelligence Technology国际期刊编委。\r
国基金同行评议人、教育部学位论文评阅人、广东省基金委、深圳/东莞市发改委、深圳市发改委、经信委、科创委、南山区科创局、宝安区科创局科技评审专家； IEEE TIP、IEEE TSMC、IEEE TMM、IEEE TIFS、IEEE TCSVT、IEEE SPL、Pattern Recognition、Information Sciences、Expert System with Applications、ACM MM、ICLR、NIPS、ICASSP、ICME、ICIP等著名国际期刊或著名会议审稿人等。

研究领域

"主要从事图像处理、计算机视觉、深度学习与人工智能领域的研究，具体包括视觉目标感知、生物特征识别、图像超分辨率、立体成像与分析、自主视觉导航、医学影像分析、工业视觉检测、光学字符识别、智能交通系统等。"

近期论文

Liu L, Wang B, Kuang Z, Xue J -H, Chen Y, Yang W*, Liao Q and Zhang W. GenDet: Meta learning to generate detectors from few shots[J]. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021: 1-13. DOI: 10.1109/TNNLS.2021.3053005.\r
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Liu L, Zhang S, Kuang Z, Xue J -H, Wang X, Zhou A, Chen Y, Yang W*, Liao Q and Zhang W. Group fisher pruning for practical network compression[C]// International Conference on Machine Learning (ICML). 2021.(Accepted)\r
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Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao,LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution[J], IEEE Transactions on Image Processing(IEEE TIP), 2020, 29(9): pp.1450-1464.\r
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Yucheng Hang, Qingmin Liao, Wenming Yang*, Yupeng Chen, Jie Zhou, Attention Cube Network for Image Restoration[C], ACM Conference on Multimedia, (ACM MM), 2020, pp.2562-2570.\r
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Wanping Zhang, Yongru Chen, Wenming Yang* , Guijin Wang , Jing-Hao Xue and Qingmin Liao, Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition[J], IEEE Transactions on Neural Networks & Learning Systems (IEEE TNNLS), 2020. (Early access)\r
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Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang* and Wayne Zhang, IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection[J], IEEE Transactions on Neural Networks & Learning Systems (IEEE TNNLS), 2020. (Early access)\r
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Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang* and Wayne Zhang, Towards Impartial Multi-task Learning[C], International Conference on Learning & Representation(ICLR 2021), 2021.(Accepted)\r
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Yiyun Chen, Yihong Chen, Jing-Hao Xue, Wenming Yang*, Qingmin Liao, Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network[C]. IEEE International Conference on Multimedia & Expro(IEEE ICME), London, UK, 2020: pp.1-6\r
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Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao, Deep Learning for Single Image Super-Resolution: A Brief Review[J],IEEE Transactions on Multimedia(IEEE TMM), 2019, 21(12):pp.3106-3121(ESI Highly Cited and Hot Paper)\r
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Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang*, CFSNet: Toward a Controllable Feature Space for Image Restoration[C]，IEEE/CVF International Conference on Computer Vision(ICCV 2019), Oct.27-Nov.2, 2019, Seoul, Korea, pp.4139-4148.\r
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Jingna Sun, Wenming Yang*, Jing-Hao Xue, Qingmin Liao, An Equalized Margin Loss for Face Recognition[J], IEEE Transactions on Multimedia(IEEE TMM), 2020, 22(11):pp.2833-2843.\r
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Jingna Sun, Yehu Shen, Wenming Yang*, Qingmin Liao, Classifier Shared Deep Network with Multi-Hierarchy Loss for Low Resolution Face Recognition[J]. Signal Processing: Image Communication(SPIC), 2020, 82:115766.\r
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Jingna Sun, Wenming Yang*, Riqiang Gao, Jing-Hao Xue, Qingmin Liao, Inter-class angular margin loss for face recognition[J], Signal Processing: Image Communication(SPIC), 2020, 80: 115636.\r
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Wenming Yang, Changqing Hui, Zhiquan Chen, Jing-Hao Xue, Qingmin Liao, FV-GAN: Finger Vein Representation Using Generative Adversarial Networks, IEEE Transactions on Information Forensics & Security(IEEE TIFS), 2019, 14(9):pp.2512-2524\r
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Wenming Yang, Changqing Hui, Daren Sun, Xiang Sun, Qingmin Liao, Clustering Through Probability Distribution Analysis Along Eigenpaths[J],IEEE Transactions on Systems, Man and Cybernetics: Systems(IEEETSMC), 2021, 51(2): pp.875-884.\r
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Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao, Lightweight Feature Fusion Network for Single Image Super-Resolution[J], IEEE Signal Processing Letters(IEEESPL), 2019, 26(4): pp.538-542.\r
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Wenming Yang, Wenyang Ji, Jing-Hao Xue, Yong Ren, Qingmin Liao. A Hybrid Finger Identification Pattern Using Polarized Depth-weighted Binary Direction Coding[J]. Neurocomputing, 2019, 325(24): pp.260-268.\r
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Wenming Yang, Zhiquan Chen, Chuan Qin, Qingmin Liao, α-Trimmed Weber Representation and Cross Section Asymmetrical Coding for Human Identification using Finger Images[J], IEEE Transactions on Information Forensics & Security(IEEE TIFS), 2019, 14(1): 90-101.\r
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Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue, On Hypothesis Testing for Comparing Image Quality Assessment Metrics[J], IEEE Signal Processing Magazine(IEEE SPM), 2018, 35(4): pp.133- 136.\r
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Zhengda Zeng, Wenming Yang*, Wen Sun, Jing-Hao Xue, Qingmin Liao, No-reference Image Quality Assessment for Photographic Images Based on Robust Statistics[J], Neurocomputing, 2018, 313(11): pp. 111-118.\r
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Riqiang Gao, Wenming Yang*, Qingmin Liao, Margin Loss: Making Faces more Separable[J], IEEE Signal Processing Letters(IEEESPL), 2018, 25(2): pp.308-312.\r
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Fuwei Yang, Wenming Yang*, Riqiang Gao, Qingmin Liao, Discriminative Multidimensional Scaling for Low-resolution Face Recognition[J], IEEE Signal Processing Letters(IEEESPL), 2018, 25(2): pp.388-392.\r
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Wenming Yang, Tingrong Yuan, Wei Wang, Fei Zhou, and Qingmin Liao, Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression[J],IEEE Transactions on Systems, Man and Cybernetics: Systems(IEEETSMC), 2017, 47(9)：pp.2478-2488.\r
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Wenming Yang，Xiang Sun，Qingmin Liao, Cascaded Elastically Progressive Model for Face Alignment[J],IEEE Transactions on Systems, Man and Cybernetics: Systems(IEEETSMC), 2017, 47(9)：pp.2613-2621\r
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Wenming Yang, Yapeng Tian, Fei Zhou, Qingmin liao, Consistent Coding Scheme for Single Image Super-Resolution via Independent Dictionaries[J],IEEE Transactions on Multimedia(IEEE TMM), 2016, 18(3)：pp.313-325.\r
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Fei Zhou, Tingrong Yuan, Wenming Yang*, Qingmin Liao, Single-Image Super-Resolution Based on Compact KPCA Coding and Kernel Regression[J], IEEE Signal Processing Letters(IEEESPL), 2015, 22(3): pp.336-339.\r
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Wenming Yang, Xiaola Huang, Qingmin Liao, Comparative Competitive Coding for Personal Identification by Using Finger Vein and Finger Dorsal Texture Fusion[J]，Information Sciences, 2014, 268(4): pp.20-32.\r
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Fei Zhou, Wenming Yang, Qingmin Liao, Interpolation-Based Image Super-Resolution Using Multi-Surface Fitting[J]. IEEE Transactions. on Image Processing(IEEE TIP), 2012, 21(7): pp.3312-3318.\r
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Fei Zhou, Wenming Yang, Qingmin Liao, A Coarse-to-Fine Subpixel Registration Method to Recover Local Perspective Deformation in the Application of Image Super-Resolution [J]. IEEE Transactions. on Image Processing(IEEE TIP), 2012, 21(1): pp.53-66.\r
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Fei Zhou, Wenming Yang, Qingmin Liao, Single image super-resolution using incoherent sub-dictionaries learning[J], IEEE Transactions on Consumer Electronics(IEEE TCE), 2012, 58(3): pp. 891-897.