Xi Peng, 彭玺
Xi Peng, 彭玺
Professor, College of Computer Science, Sichuan University
Verified email at - Homepage
Cited by
Cited by
Structured autoencoders for subspace clustering
X Peng, J Feng, S Xiao, WY Yau, JT Zhou, S Yang
IEEE Transactions on Image Processing 27 (10), 5076-5086, 2018
Constructing the L2-graph for robust subspace learning and subspace clustering
X Peng, Z Yu, Z Yi, H Tang
IEEE transactions on cybernetics 47 (4), 1053-1066, 2016
Deep Subspace Clustering with Sparsity Prior.
X Peng, S Xiao, J Feng, WY Yau, Z Yi
The 25th International Joint Conference on Artificial Intelligence (IJCAI …, 2016
Mobility-aware caching for content-centric wireless networks: Modeling and methodology
R Wang, X Peng, J Zhang, KB Letaief
IEEE Communications Magazine 54 (8), 77-83, 2016
Learning to learn single domain generalization
F Qiao, L Zhao, X Peng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Contrastive clustering
Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8547-8555, 2021
Anomalynet: An anomaly detection network for video surveillance
JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh
IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019
Denoising MR spectroscopic imaging data with low-rank approximations
HM Nguyen, X Peng, MN Do, ZP Liang
IEEE Transactions on Biomedical Engineering 60 (1), 78-89, 2012
COMIC: Multi-view clustering without parameter selection
X Peng, Z Huang, J Lv, H Zhu, JT Zhou
International conference on machine learning, 5092-5101, 2019
Scalable sparse subspace clustering
X Peng, L Zhang, Z Yi
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Connections between nuclear-norm and frobenius-norm-based representations
X Peng, C Lu, Z Yi, H Tang
IEEE transactions on neural networks and learning systems 29 (1), 218-224, 2016
Quantized densely connected u-nets for efficient landmark localization
Z Tang, X Peng, S Geng, L Wu, S Zhang, D Metaxas
Proceedings of the European conference on computer vision (ECCV), 339-354, 2018
A unified framework for representation-based subspace clustering of out-of-sample and large-scale data
X Peng, H Tang, L Zhang, Z Yi, S Xiao
IEEE transactions on neural networks and learning systems 27 (12), 2499-2512, 2015
Partition level multiview subspace clustering
Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu
Neural Networks 122, 279-288, 2020
CR-GAN: learning complete representations for multi-view generation
Y Tian, X Peng, L Zhao, S Zhang, DN Metaxas
arXiv preprint arXiv:1806.11191, 2018
Robust subspace clustering via thresholding ridge regression
X Peng, Z Yi, H Tang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Deep clustering with sample-assignment invariance prior
X Peng, H Zhu, J Feng, C Shen, H Zhang, JT Zhou
IEEE transactions on neural networks and learning systems 31 (11), 4857-4868, 2019
Adaptive dictionary learning in sparse gradient domain for image recovery
Q Liu, S Wang, L Ying, X Peng, Y Zhu, D Liang
IEEE Transactions on Image Processing 22 (12), 4652-4663, 2013
Learning locality-constrained collaborative representation for robust face recognition
X Peng, L Zhang, Z Yi, KK Tan
Pattern Recognition 47 (9), 2794-2806, 2014
Video anomaly detection with sparse coding inspired deep neural networks
W Luo, W Liu, D Lian, J Tang, L Duan, X Peng, S Gao
IEEE transactions on pattern analysis and machine intelligence 43 (3), 1070-1084, 2019
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