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
162018
Manifold regularized matrix completion for multi-label learning with ADMM
B Liu, Y Li, Z Xu
Neural Networks 101, 57-67, 2018
162018
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
132011
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
92018
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
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
52017
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
42017
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
32020
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
32020
Representation learning from time labelled heterogeneous data for mobile crowdsensing
C Ma, Q Zhu, S Wu, B Liu
Mobile Information Systems 2016, 2016
32016
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
22019
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
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
Two birds with one stone: Transforming and generating facial images with iterative GAN
D Ma, B Liu, Z Kang, J Zhou, J Zhu, Z Xu
Neurocomputing 396, 278-290, 2020
12020
Chinese document classification with bi-directional convolutional language model
B Liu, G Yin
43rd International ACM SIGIR Conference on Research and Development in …, 2020
12020
Learning robust word representation over a semantic manifold
L Zheng, Y Hu, B Liu, W Deng
Knowledge-Based Systems 192, 105358, 2020
12020
Gene functional annotation via matrix completion
B Liu, D Ma, C Ma, S Wu
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
12017
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