Author

Changsheng Li

Professor, Beijing Institute of Technology - Cited by 2,359 - Machine Learning - Computer Vision - Data Mining

Biography

Changsheng Li, belonging to Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Interested in the field of Stem cell therapy.
Title
Cited by
Year
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
XY Zhang#, C Li#, H Shi, X Zhu, P Li, J DongIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020202
39
2020
Reconstruction regularized deep metric learning for multi-label image classification
C Li, C Liu, L Duan, P Gao, K ZhengIEEE transactions on neural networks and learning systems, 2020202
36
2020
Deep Dense Multi-scale Network for Snow Removal Using Semantic and Depth Priors
K Zhang, R Li, Y Yu, W Luo, C Li*IEEE Transactions on Image Processing, 2021202
36
2021
On Deep Unsupervised Active Learning
C Li, H Ma, Z Kang, Y Yuan, X Zhang, G WangInternational Joint Conferences on Artificial Intelligence (IJCAI), 2020202
22
2020
On Deep Unsupervised Active Learning
C Li, H Ma, Z Kang, YY Yuan, XY Zhang, G WangarXiv:2007.13959, 2020202
22
2020
Visual analytics based vehicle insurance anti-fraud detection
WS Dong, P Gao, C Li, WH Luo, RJ Yao, T Yuan, J ZhuUS Patent 10,628,890, 2020202
18
2020
Adversarial Multimodal Network for Movie Story Question Answering
Z Yuan, S Sun, L Duan, C Li, X Wu, C XuIEEE Transactions on Multimedia (TMM), 2020202
16
2020
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
K Zhang, W Luo, Y Yu, W Ren, F Zhao, C Li, L Ma, W Liu, H LiInternational Journal of Computer Vision (IJCV), 2022202
16
2022
Lesion Synthesis to Improve Intracranial Hemorrhage Detection and Classification for CT Images
G Zhang, Xie, K Chen, S Xu, PC Cho, N Yang, X Zhou, C Lv, C Li, G XieComputerized Medical Imaging and Graphics, 2021202
15
2021
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
J Wang, S Wen, K Chen, J Yu, X Zhou, P Gao, C Li, G XieBritish Machine Vision Conference (BMVC), 2020202
14
2020
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
J Wang, S Wen, K Chen, J Yu, X Zhou, P Gao, C Li, G XiearXiv:2012.04829, 2020202
14
2020
LRSC: Learning Representations for Subspace Clustering
C Li, C Yang, B Liu, Y Yuan, G WangAAAI Conference on Artificial Intelligence (AAAI-21), 2021202
9
2021
On Robust Grouping Active Learning
C Li, C Yang, L Liang, Y Yuan, G WangIEEE Transactions on Emerging Topics in Computational Intelligence, 2020202
9
2020
Weakly-Supervised Action Localization via Embedding-Modeling Iterative Optimization
X Zhang, H Shi, C Li, P Li, Z Li, P RenPattern Recognition, 2021202
8
2021
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
K Feng, C Li, Y Yuan, G WangarXiv:2206.06561, 2022202
7
2022
Structure Guided Deep Neural Network for Unsupervised Active Learning
C Li, H Ma, Y Yuan, G Wang, D XuIEEE Transactions on Image Processing, 2022202
6
2022
Deep Unsupervised Active Learning via Matrix Sketching
C Li, R Li, Y Yuan, G Wang, D XuIEEE Transactions on Image Processing, 2021202
6
2021
Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
S Wang, C Li, Y Li, Y Yuan, G WangIEEE Transactions on Image Processing (TIP), 2023202
6
2023
Action Shuffling for Weakly Supervised Temporal Localization
XY Zhang, H Shi, C Li, X ShiIEEE Transactions on Image Processing, 2022202
5
2022
Neural network training
SM Chu, P Gao, C Li, DS Li, J Yan, W ZhangUS Patent 10,839,226, 2020202
5
2020

Referred From: https://scholar.google.com/citations?user=FfJnUioAAAAJ&hl=en

Cited by
Citations 2359
h-index 27
i10-index 49
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