Yang Wenming

2003.9-2006.7   Ph.D., Information Science & Electronic Engineering (ISEE), Zhejiang University 

1996.9-2003.9   Bachelor's & Master's, Harbin University of Science and Technology 

2017.06-2017.09  Academic Visitor, Department of Statistical Sciences of University College London 

2013.12-now    Associate Professor, Division of Information Sciences of Tsinghua SIGS 

2010.1-2013.12 Assistant Professor, Division of Information Sciences of Tsinghua SIGS 

2008.1-2009.12  PostDoc., Tsinghua University

2006.7-2007.12  Assistant Professor, China Jiliang University

IEEE Senior Member

China Society of Image and Graphics Member

Chinese Association for Artificial Intelligence Member

Digital Image Processing & Its Applications

Practices of Digital Image Processing

Biomedical & Information Experiments

Image Processing and Computer Vision, Deep Learning and Artificial Intelligence

Under Professor Yang’s instruction, over five students have achieved national outstanding academic scholarships or excellent professional practice awards, and five students have achieved excellent Ph.D. degree dissertations awards or Master degree thesis awards.

Image Processing and Computer Vision, Deep Learning and Artificial Intelligence:

Image Super-Resolution, Image Denoising, Image Deblocking, Image Quality Assessment, Face Recognition, Vein Recognition, Visual Object Detection, Stereo Vision, Autonomous Vision, Medical Image Analysis, OCR and Industry Vision Detection.

As project leader or core member, Professor Yang has completed over 10 scientific research projects of the National Key Research and Development Program, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Natural Science Foundation of Shenzhen, as well as 20 technology development projects with companies such as HUAWEI and DJI.

Professor Yang has published more than 10 invention patents and more than 100 academic papers on international journals including IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Neural Networks & Learning Systems, IEEE Trans.on Information, Forensics & Security, IEEE Trans. on Multimedia, IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Signal Processing Letters, Information Sciences, Pattern Recognition and Neurocomputing and international conferences such as ACM Multimedia、AAAI、IEEE/CVF ICCV、CVPR、ICML、ICLR、ICASSP、ICME、ICIP、IJCNN、VCIP、MICCAI、EMBC、ISBI. One journal paper has been classified as an ESI Highly Cited and Hot Paper.

As guest editor, Professor Yang has co-published two special issues on international journals:

Special Issue on Neurocomputing 

Topic：Deep Learning for Image Super-Resolution

Special Issue on Signal Processing：Image Communication

Topic：Advances in statistical methods based VQA

[1] 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.

[2] 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)

[3] 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.

[4] 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.

[5] 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)

[6] 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)

[7] 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)

[8] 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

[9] 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)

[10] 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.

[11] 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.

[12] 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.

[13] 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.

[14] 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

[15] 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 (IEEE TSMC), 2021, 51(2): pp.875-884.

[16] Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao, Lightweight Feature Fusion Network for Single Image Super-Resolution[J], IEEE Signal Processing Letters (IEEE SPL), 2019, 26(4): pp.538-542.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] Riqiang Gao, Wenming Yang*, Qingmin Liao, Margin Loss: Making Faces more Separable[J], IEEE Signal Processing Letters (IEEE SPL), 2018, 25(2): pp.308-312.

[22] Fuwei Yang, Wenming Yang*, Riqiang Gao, Qingmin Liao, Discriminative Multidimensional Scaling for Low-resolution Face Recognition[J], IEEE Signal Processing Letters (IEEE SPL), 2018, 25(2): pp.388-392.

[23] 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 (IEEE TSMC), 2017, 47(9)：pp.2478-2488.

[24] Wenming Yang，Xiang Sun，Qingmin Liao, Cascaded Elastically Progressive Model for Face Alignment[J],IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC), 2017, 47(9)：pp.2613-2621

[25] 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.

[26] 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 (IEEE SPL), 2015, 22(3): pp.336-339.

[27] 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.

[28] 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.

[29] 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.

[30] 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.

2012, 2015, 2016, 2019, 2020 Excellent Teacher Awards, Tsinghua SIGS

2016 Local-Level Professional Talent of Shenzhen Municipality

2016 Science and Technology Awards, China Society of Geodesy Photogrammetry and Cartography

2013 The Best Youth Science and Technology Awards, CAAI Youth Committee