Dr. Chao Zhu received his bachelor's, master's and doctoral degrees from Xidian University, Xi'an Jiaotong University and Central University of Technology Lyon in 2005, 2008 and 2012, respectively. In 2013, he was engaged in postdoctoral research at the Institute of Computer Science and Technology of Peking University, and was awarded the 2015 "Peking University Outstanding Postdoctoral" award. Joined the School of Computer and Communication Engineering, University of Science and Technology Beijing in 2016. He has been engaged in the research of computer vision and pattern recognition for a long time, focusing on the relevant theories and key technologies for the understanding of image and video content, and has made a number of innovations in feature extraction, image classification, target detection and recognition, and has published academic papers There are more than 20 papers, including 5 CCF-A papers. The papers have been cited more than 300 times in Google Scholar, have accepted 2 national invention patents, and have achieved good results in a number of international computer vision field evaluation competitions.

 1. C. Zhu and Y. Peng, “A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling”, IEEE Transactions on Image Processing, 2015, Vol.24, No.12, pp.5619-5629. (SCI 2区, CCF-A类期刊, IF: 4.828)

2. C. Zhu, C.-E. Bichot and L. Chen, “Image Region Description Using Orthogonal Combination of Local Binary Patterns Enhanced with Color Information”, Pattern Recognition, 2013, Vol.46, No.7, pp.1949-1963. (SCI 2区, CCF-B类期刊, IF: 4.582)
3. C. Zhu and Y. Peng, “Discriminative Latent Semantic Feature Learning for Pedestrian Detection”, Neurocomputing, 2017, Vol.238, pp.126-138. (SCI 3区, IF: 3.317)
4. C. Zhu, H. Fu, C.-E. Bichot, E. Dellandrea and L. Chen, “Visual Object Recognition Using Multi-scale Local Binary Patterns and Line Segment Feature”, International Journal of Signal and Imaging Systems Engineering, 2012, Vol.5, No.2, pp.85-92.
5. D. Huang, C. Zhu, Y. Wang and L. Chen, “HSOG: A Novel Local Image Descriptor Based on Histograms of the Second-Order Gradients”, IEEE Transactions on Image Processing, 2014, Vol. 23, No. 11, pp.4680-4695. (SCI 2区, CCF-A类期刊, IF: 4.828)
6. C. Zhu and Y. Peng, “Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection”, in Proc. of AAAI Conference on Artificial Intelligence, 2016, pp.3676-3682. (CCF-A类会议)
7. C. Zhu and Y. Peng, “A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling”, in Proc. of AAAI Conference on Artificial Intelligence, 2015, pp.3878-3884. (CCF-A类会议)
8. C. Zhu, C.-E. Bichot and L. Chen, “Visual Object Recognition Using DAISY Descriptor”, in Proc. of IEEE International Conference on Multimedia and Expo, 2011, pp.1-6. (CCF-B类会议)
9. C. Zhu*, D. Huang*, C.-E. Bichot, Y. Wang and L. Chen, “HSOG: A Novel Local Descriptor based on Histograms of Second Order Gradients for Object Categorization”, in Proc. of ACM International Conference on Multimedia Retrieval, 2013, pp.199-206 (*equal contribution). (CCF-B类会议)
10. C. Zhu, C.-E. Bichot and L. Chen, “Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition”, in Proc. of International Conference on Pattern Recognition, 2010, pp.3065-3068.

1. Research on target detection based on visual attention modeling and deep feature pyramid network, National Natural Science Foundation of China Youth Project, presided over, 2018.01-2020.12
2. Research on target detection based on sub-category perception and context enhancement in deep networks, Beijing Natural Science Foundation Youth Project, presided over, 2017.01-2018.12
3. Research on multi-scale feature enhancement deep neural network suitable for target detection, basic research funding project of central universities, presided over, 2017.01-2018.12
4. Research on target detection based on implicit semantic representation and adaptive subclass modeling, general project of China Postdoctoral Science Foundation, chaired, 2014.05-2015.12

1. 2017 Excellent Award of the 10th Youth Teacher Teaching Fundamental Skills Competition of Beijing University of Science and Technology
2. 2015 "Excellent Postdoctoral Fellow" of Peking University
3. "A method and device for establishing a pedestrian detection model and a pedestrian detection method", application number: 201510572463.X
4. "An image feature extraction method and pedestrian detection method and device", application number: 201510573728.8