Xiaoyi Li
Title
Cited by
Cited by
Year
A deep learning approach to link prediction in dynamic networks
AZ Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao
119*2014
A novel semi-supervised deep learning framework for affective state recognition on eeg signals
X Jia, K Li, X Li, A Zhang
2014 IEEE international conference on bioinformatics and bioengineering, 30-37, 2014
672014
Affective state recognition from EEG with deep belief networks
K Li, X Li, Y Zhang, A Zhang
2013 IEEE International Conference on Bioinformatics and Biomedicine, 305-310, 2013
542013
Multi-source deep learning for information trustworthiness estimation
L Ge, J Gao, X Li, A Zhang
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
472013
Lrbm: A restricted boltzmann machine based approach for representation learning on linked data
K Li, J Gao, S Guo, N Du, X Li, A Zhang
2014 IEEE International Conference on Data Mining, 300-309, 2014
352014
Identifying informative risk factors and predicting bone disease progression via deep belief networks
H Li, X Li, M Ramanathan, A Zhang
Methods 69 (3), 257-265, 2014
342014
Multi-modal learning for video recommendation based on mobile application usage
X Jia, A Wang, X Li, G Xun, W Xu, A Zhang
2015 IEEE International Conference on Big Data (Big Data), 837-842, 2015
242015
Collaborative restricted Boltzmann machine for social event recommendation
X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
202016
Prediction and informative risk factor selection of bone diseases
H Li, X Li, M Ramanathan, A Zhang
IEEE/ACM transactions on computational biology and bioinformatics 12 (1), 79-91, 2014
192014
Improving eeg feature learning via synchronized facial video
X Li, X Jia, G Xun, A Zhang
2015 IEEE International Conference on Big Data (Big Data), 843-848, 2015
162015
Bone disease prediction and phenotype discovery using feature representation over electronic health records
H Li, X Li, X Jia, M Ramanathan, A Zhang
Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015
92015
3d bone microarchitecture modeling and fracture risk prediction
H Li, X Li, L Bone, C Buyea, M Ramanathan, A Zhang
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
82012
A multimodal framework for unsupervised feature fusion
X Li, J Gao, H Li, L Yang, RK Srihari
Proceedings of the 22nd ACM international conference on Information …, 2013
62013
Influence based analysis of community consistency in dynamic networks
X Jia, X Li, N Du, Y Zhang, V Gopalakrishnan, G Xun, A Zhang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
42016
Identifying inorganic material affinity classes for peptide sequences based on context learning
G Xun, X Li, MR Knecht, PN Prasad, MT Swihart, TR Walsh, A Zhang
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
42015
A generative framework for prediction and informative risk factor selection of bone diseases
H Li, X Li, Y Zhang, M Ramanathan, A Zhang
2013 IEEE International Conference on Bioinformatics and Biomedicine, 554-559, 2013
42013
Detecting mutual functional gene clusters from multiple related diseases
N Du, X Li, Y Zhang, A Zhang
2013 IEEE International Conference on Bioinformatics and Biomedicine, 159-164, 2013
22013
DRN: Bringing Greedy Layer-Wise Training into Time Dimension
X Li, X Jia, H Li, H Xiao, J Gao, A Zhang
Data Mining (ICDM), 2015 IEEE International Conference on, 2015
12015
A semi-supervised learning approach to integrated salient risk features for bone diseases
H Li, X Li, M Ramanathan, A Zhang
Proceedings of the International Conference on Bioinformatics, Computational …, 2013
12013
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach
X Jia, X Li, N Du, Y Zhang, V Gopalakrishnan, G Xun, A Zhang
IEEE Transactions on Knowledge and Data Engineering 33 (2), 782-795, 2021
2021
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