李长升 - 北京理工大学

个人简介

李长升，北京理工大学计算机学院教授，博士生导师，国家优秀青年科学基金获得者，基金委联合基金会评专家。2008年于电子科技大学电子工程学院取得工学学士学位，2013年于中科院自动化所取得工学博士学位。在加入北京理工大学之前，先后在IBM研究院，阿里巴巴达摩院，以及电子科技大学计算机科学与工程学院工作。主要研究方向包括机器学习、数据挖掘、计算机视觉等。在IEEE TPAMI、TIP、TNNLS、TC等著名国际期刊以及AAAI、IJCAI、CVPR等著名国际会议发表论文近60篇，含中科院JCR-1区、CCF A论文30余篇。其中，以第一作者/通讯作者发表在例如T-PAMI等中科院JCR-1区或CCF A类文章20余篇。先后主持国家自然科学基金优秀青年科学基金、国家重点研发计划课题等纵向与横向项目10余项；参与国家自然科学基金重点项目2项。授权中国、美国、日本等国内外发明专利30余件。现担任多个国际顶级期刊和会议的审稿人，包括IEEE汇刊IEEE T-NNLS, T-KDE, T-C, T-MM, T-ECS, T-CSVT, T-II，以及中国计算机学会（CCF）A类会议CVPR，ICCV，ECCV，IJCAI，AAAI, NIPS, MM, UbiComP，MICCAI等。担任中国工程院工程科技知识中心专家、中宣部和科技部“宣传思想文化工作与大数据应用”工程论证专家、中国人工智能开源软件发展联盟专家委员会委员、首届太湖信用大数据创新应用大赛专家委员会委员。

研究领域

机器学习，包括深度学习，自空间学习、主动学习、多任务学习、模型压缩，元学习等；计算机视觉，包括视频行为识别与检测、场景理解等

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Changsheng Li, Handong Ma, Ye Yuan, Guoren Wang, Dong Xu, Structure Guided Deep Neural Network for Unsupervised Active Learning, IEEE Transactions on Image Processing (TIP), 2022, [CCF A]. Changsheng Li, Rongqing Li, Ye Yuan, Guoren Wang, Dong Xu, Deep Unsupervised Active Learning via Matrix Sketching, IEEE Transactions on Image Processing (TIP), 2021, [CCF A]. Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang, LRSC: Learning Representations for Subspace Clustering, AAAI Conference on Artificial Intelligence (AAAI- 21), 2021, [CCF A类]. Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang, Unsupervised Active Learning via Subspace Learning, AAAI Conference on Artificial Intelligence (AAAI-21), 2021, [CCF A类] Changsheng Li, Chen Yang, Lingyan Liang, Ye Yuan, Guoren Wang，On Robust Grouping Active Learning, IEEE Transactions on Emerging Topics in Computational Intelligence, 2020. Changsheng Li; Handong Ma; Zhao Kang; Ye Yuan; Xiao-Yu Zhang, Guoren Wang*, On Deep Unsupervised Active Learning, International Joint Conferences on Artificial Intelligence (IJCAI), 2020. [CCF A类] Xiao-Yu Zhang#, Changsheng Li#, Haichao Shi*, Xiaobin Zhu, Peng Li, Jing Dong, AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization, To Appear in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, [中科院JCR-1区]. Changsheng Li, Chong Liu, Lixin Duan*, Peng Gao, Kai Zheng, Reconstruction regularized deep metric learning for multi-label image classification, online, IEEE transactions on neural networks and learning systems (TNNLS), 2019, [中科院JCR-1区]. Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha, Joint Active Learning with Feature Selection via CUR Matrix Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019，[中科院JCR-1区]. Changsheng Li*, Fan Wei, Weishan Dong, Qingshan Liu*, Xiangfeng Wang, Xin Zhang, Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019，[中科院JCR-1区]. Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha, A Self-Paced Regularization Framework for Multilabel Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, [中科院JCR-1区]. Changsheng Li, Junchi Yan*, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha, Self-paced Multi-task Learning, The 31th AAAI Conference on Artificial Intelligence (AAAI-17), 2017, [CCF A类]. Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang, Spatially Regularized Streaming Sensor Selection, The 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016, [CCF A类]. Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang, Max-Margin based Discriminative Feature Learning, IEEE Trans. on Neural Networks and Learning Systems, 2016, [中科院JCR-1区]. Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human Age Estimation Based on Locality and Ordinal Information, IEEE Transaction on Cybernetics (TC), 2015, [中科院JCR-1区]. Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for Image Ranking, IEEE Transaction on Neural Network and Learning Systems (TNNLS), 2015, [中科院JCR-1区]. Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu, Learning ordinal discriminative features for age estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2570-2577, 2012, [CCF A类].