Changsheng Li 李长升
Changsheng Li 李长升
Professor, Beijing Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Learning ordinal discriminative features for age estimation
C Li, Q Liu, J Liu, H Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2570-2577, 2012
Sparse representation for robust abnormality detection in crowded scenes
X Zhu, J Liu, J Wang, C Li, H Lu
Pattern Recognition 47(5), 1791-1799, 2014 47 (5), 791-1799, 2014
Characterizing Driving Styles with Deep Learning
W Dong, J Li, R Yao, C Li, T Yuan, L Wang
arXiv preprint arXiv:1607.03611, 2016
Quantification and driving force analysis of provincial-level carbon emissions in China
B Ye, JJ Jiang, C Li, L Miao, J Tang
Applied Energy 198, 223-238, 2017
On Estimating Air Pollution from Photos using Convolutional Neural Networks
C Zhang, J Yan, C Li*, X Rui, L Liu, R Bie
ACM Multimedia, 2016
On modeling and predicting individual paper citation count over time
S Xiao, J Yan, C Li, B Jin, X Wang, H Zha, X Yang, MC Stephen
International Joint Conference on Artificial Intelligence (IJCAI), 2016
Adaptive discrete hypergraph matching
J Yan, C Li, Y Li, G Cao
IEEE transactions on cybernetics 48 (2), 765-779, 2017
Ordinal Distance Metric Learning for Image Ranking
C Li, Q Liu, J Liu, H Lu
IEEE Transaction on Neural Network and Learning Systems (TNNLS), 2015
Self-paced Multi-task Learning
C Li, J Yan, F Wei, W Dong, Q Liu, H Zha
The 31th AAAI Conference on Artificial Intelligence (AAAI-17), 2017
Human Age Estimation Based on Locality and Ordinal Information
C Li, Q Liu, W Dong, Z Xiaobin, J Liu, H Lu
IEEE Transaction on Cybernetics (TC), 2015
Method of effective driving behavior extraction using deep learning
WS Dong, P Gao, J Li, CS Li, WH Luo, CY Ma, RJ Yao, T Yuan, J Zhu
US Patent App. 10/198,693, 2019
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li*, Kai Zheng, Xiaobin Zhu, Lixin Duan
AAAI Conference on Artificial Intelligence (AAAI), 2019
Joint Active Learning with Feature Selection via CUR Matrix Decomposition
C Li, X Wang, W Dong, J Yan, Q Liu, H Zha
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
Autoencoder Regularized Network For Driving Style Representation Learning
W Dong, T Yuan, K Yang, C Li, S Zhang
arXiv:1701.01272, 2017
Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data
C Li, F Wei, W Dong, Q Liu, X Wang, X Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018
Predictive Maintenance Based on Event-Log Analysis: A Case Study
J Wang, C Li, S Han, S Sarkar, X Zhou
IBM Journal of Research and Development, 2016
The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China
C Li, H Wang, H Miao, B Ye
Applied Energy 190, 204-212, 2017
Learning distance metric regression for facial age estimation
C Li, Q Liu, J Liu, H Lu
The 21nd International Conference on Pattern Recognition (ICPR), 2327-2330, 2012
Residual Invertible Spatio-Temporal Network For Video Super-Resolution
Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li*, Yaqi Liu, Ziyu Xue
AAAI Conference on Artificial Intelligence (AAAI), 2019
A Self-Paced Regularization Framework for Multilabel Learning
C Li, F Wei, J Yan, X Zhang, Q Liu, H Zha
IEEE Trans. on Neural Networks and Learning Systems, 2017
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