Bin Liu
Bin Liu
Center of Statistic Research, School of Statistics, Southwestern University of Finance & Economics
Verified email at swufe.edu.cn
Title
Cited by
Cited by
Year
Knowledge base completion by variational bayesian neural tensor decomposition
L He, B Liu, G Li, Y Sheng, Y Wang, Z Xu
Cognitive Computation 10 (6), 1075-1084, 2018
202018
Manifold regularized matrix completion for multi-label learning with ADMM
B Liu, Y Li, Z Xu
Neural Networks 101, 57-67, 2018
172018
Neuralcp: Bayesian multiway data analysis with neural tensor decomposition
B Liu, L He, Y Li, S Zhe, Z Xu
Cognitive Computation 10 (6), 1051-1061, 2018
142018
Flow-based travel plan via VANET
Y Yu, B Liu, T Wu, M Liu
International Journal of Digital Content Technology and its Applications 5 …, 2011
142011
A Fast Online COVID-19 Diagnostic System with Chest CT Scans
B Liu, X Gao, M He, L Liu, G Yin
26TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (Health Day), 2020
92020
Manifold regularized matrix completion for multilabel classification
B Liu, Z Xu, S Wu, F Wang
Pattern Recognition Letters 80, 58-63, 2016
92016
Parking backbone: toward efficient overlay routing in VANETs
J Zhu, M Liu, Y Wen, C Ma, B Liu
International Journal of Distributed Sensor Networks 10 (8), 291308, 2014
92014
Online COVID-19 diagnosis with chest CT images: Lesion-attention deep neural networks
B Liu, X Gao, M He, F Lv, G Yin
medRxiv, 2020
72020
Variational random function model for network modeling
Z Xu, B Liu, S Zhe, H Bai, Z Wang, J Neville
IEEE transactions on neural networks and learning systems 30 (1), 318 - 324, 2018
62018
Link prediction by exploiting network formation games in exchangeable graphs
L Wang, Y Wang, B Liu, L He, S Liu, G De Melo, Z Xu
2017 International Joint Conference on Neural Networks (IJCNN), 619-626, 2017
62017
Learning from semantically dependent multi-tasks
B Liu, Z Xu, B Dai, H Bai, X Fang, Y Ren, S Zhe
2017 International Joint Conference on Neural Networks (IJCNN), 3498-3505, 2017
52017
Modeling for professional athletes’ social networks based on statistical machine learning
Q Huang, B Liu, N Zhao, Z Zhang, Q Wang, X Zhang, Y Xun, X Ge, J Ding, ...
IEEE Access 8, 4301-4310, 2019
32019
Representation learning from time labelled heterogeneous data for mobile crowdsensing
C Ma, Q Zhu, S Wu, B Liu
Mobile Information Systems 2016, 2016
32016
Chinese document classification with bi-directional convolutional language model
B Liu, G Yin
43rd International ACM SIGIR Conference on Research and Development in …, 2020
22020
Learning robust word representation over a semantic manifold
L Zheng, Y Hu, B Liu, W Deng
Knowledge-Based Systems 192, 105358, 2020
22020
Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization
SL Qianyu Jiang, Xiutao Shi, Guangxi Li, Bin Liu, Lei Wu
2017 IEEE 21st International Conference on Computer Supported Cooperative …, 2017
22017
Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization
Q Jiang, X Shi, G Li, B Liu, L Wu, S Liu
2017 IEEE 21st International Conference on Computer Supported Cooperative …, 2017
22017
DeepCP: Flexible Nonlinear Tensor Decomposition
B Liu, L He, S Zhe, Y Li, Z Xu
NeurIPS Workshops 3, 2017
22017
Hierarchical probabilistic matrix factorization with network topology for multi-relational social network
H Bai, Z Xu, B Liu, Y Li
Asian Conference on Machine Learning, 270-285, 2016
22016
Distinguishing uncertain objects with multiple features for crowdsensing
B Liu, C Song, M Liu, N Liu
2014 IEEE Global Communications Conference, 2751-2756, 2014
22014
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Articles 1–20