北京邮电大学主页平台管理系统李春光--中文主页--论文成果

北京邮电大学|

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个人信息

李春光cgli

(副教授)

博士生导师硕士生导师
学位：博士学位
性别：男
毕业院校：北京邮电大学
学历：研究生毕业
在职信息：在职
所在单位：人工智能学院
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论文成果

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.Chao Xue, Xiaoxing Wang, Junchi Yan, and Chun-Guang Li, "A Flow-based Approach for Neural Architecture Search", European Conference on Computer Vision (ECCV), 2022,pp 685--701.
.Mingkun Li, Chun-Guang Li, and Jun Guo, “Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification”, IEEE Trans. Image Processing (TIP), Vol.31, May 16, 2022, pp.3606-3617.
.Mingkun Li, He Sun, Chaoqun Lin, Chun-Guang Li, and Jun Guo, “The Devil in the Tail: Clustering Consolidation plus Cluster Adaptive Balancing Loss for Unsupervised Person Re-Identification”, Pattern Recognition, Vol.129, Sept. 2022.
.Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Chun-Guang Li, Rong Xiao, "Effective Multi-Hot Encoding and Classifier for Lightweight Scene Text Recognition with a Large Character Set", IEEE Trans. on Circuits and Systems for Video Technology, Vol.32, Issue 8, August, 2022, pp.5374-5385.
.Xin Tang, Yihao Chen, Xianbiao Qi, Chun-Guang Li, and Rong Xiao, “Learning Graph Normalization for Graph Neural Networks”, Neurocomputing, Vol.493, 613-625, 2022.
.Chao Xue, Mengting Hu, Xueqi Huang, Chun-Guang Li, "Automated Search Space and Search Strategy Selection for AutoML", Pattern Recognition, Vol. 124, April 2022, 108474.
.He Sun, Mingkun Li and Chun-Guang Li, “Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification”, The 6th Asian Conference on Pattern Recognition (ACPR), Nov. 9-12, 2021.
.Shangzhi Zhang, Chong You, Rene Vidal, and Chun-Guang Li, “Learning a Self-Expressive Network for Subspace Clustering”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021, pp. 12393-12403.
.Shuai Di, Qi Feng, Chun-Guang Li, Honggang Zhang, Chiu C. Tan, and Haibin Ling: Rainy Night Scene Understanding with Near-Scene Semantic Adaptation, IEEE Trans. on Intelligent Transportation Systems, Vol.22, No.3, pp.1594-1602, March 2021.
.Shuai Di, Honggang Zhang, Chun-Guang Li, Xue Mei, Danil Prokhorov, and Haibing Ling, “Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach”, IEEE Trans. Intelligent Transportation System, Vol.19, No. 3, pp.745-757, Mar 2018.

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