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张宝昌 ( 教授 ) 赞
的个人主页 http://shi.buaa.edu.cn/mpl/zh_CN/index.htm
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[51] .Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang*, Jungong Han, Jianzhuang Liu: Taylor Convolutional Networks for Image Classification. WACV 2019: 1271-1279
[52] .Li’an Zhuo, Baochang Zhang*, Chen Chen, David Doermann. Calibration Stochastic Gradient Descent for Convolutional Neural Network, AAAI 2019. Top Conference
[53] .Jiaxin Gu, Ce Li, Baochang Zhang*, Jungong Han, David Doermann. Projection Convolutional Neural Network, AAAI 2019. Top Conference
[54] .Xiawu Zheng , Rongrong Ji , Xiaoshuai Sun, Baochang Zhang, Yongjian Wu,Yunsheng Wu，Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale layer, AAAI 2019. Top Conference
[55] .Taisong Jin, Liujuan Cao , Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji Hypergraph Induced Convolutional Manifold NetworksI International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
[56] .Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji ,Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework, International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
[57] .Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang*, Jianzhuang Liu, Bohan Zhuang, Guodong Guo, Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs, International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
[58] .Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David Doermann5, Ling Shao4 ，Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
[59] .Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann. Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
[60] .Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji. Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference

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