Junyu Xuan
Cited by
Cited by
Open set domain adaptation: Theoretical bound and algorithm
Z Fang, J Lu, F Liu, J Xuan, G Zhang
IEEE transactions on neural networks and learning systems 32 (10), 4309-4322, 2020
Building knowledge base of urban emergency events based on crowdsourcing of social media
Z Xu, H Zhang, C Hu, L Mei, J Xuan, KKR Choo, V Sugumaran, Y Zhu
Concurrency and Computation: Practice and experience 28 (15), 4038-4052, 2016
Sentiment computing for the news event based on the social media big data
D Jiang, X Luo, J Xuan, Z Xu
Ieee access 5, 2373-2382, 2016
Uncertainty analysis for the keyword system of web events
J Xuan, X Luo, G Zhang, J Lu, Z Xu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (6), 829-842, 2015
Crowdsourcing based social media data analysis of urban emergency events
Z Xu, Y Liu, J Xuan, H Chen, L Mei
Multimedia Tools and Applications 76, 11567-11584, 2017
Structural property-aware multilayer network embedding for latent factor analysis
J Lu, J Xuan, G Zhang, X Luo
Pattern Recognition 76, 228-241, 2018
Topic model for graph mining
J Xuan, J Lu, G Zhang, X Luo
IEEE transactions on cybernetics 45 (12), 2792-2803, 2015
Path integral based convolution and pooling for graph neural networks
Z Ma, J Xuan, YG Wang, M Li, P Li˛
Advances in Neural Information Processing Systems 33, 16421-16433, 2020
Doubly nonparametric sparse nonnegative matrix factorization based on dependent Indian buffet processes
J Xuan, J Lu, G Zhang, RY Da Xu, X Luo
IEEE transactions on neural networks and learning systems 29 (5), 1835-1849, 2017
Bayesian nonparametric relational topic model through dependent gamma processes
J Xuan, J Lu, G Zhang, RY Da Xu, X Luo
IEEE Transactions on Knowledge and Data Engineering 29 (7), 1357-1369, 2016
A survey on Bayesian nonparametric learning
J Xuan, J Lu, G Zhang
ACM Computing Surveys (CSUR) 52 (1), 1-36, 2019
Discovering the core semantics of event from social media
W Liu, X Luo, Z Gong, J Xuan, NM Kou, Z Xu
Future Generation Computer Systems 64, 175-185, 2016
Discovering small-world in association link networks for association learning
S Zhang, X Luo, J Xuan, X Chen, W Xu
World Wide Web 17, 229-254, 2014
Semantic structure-based word embedding by incorporating concept convergence and word divergence
Q Liu, H Huang, G Zhang, Y Gao, J Xuan, J Lu
The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
A Bayesian nonparametric model for multi-label learning
J Xuan, J Lu, G Zhang, RYD Xu, X Luo
Machine Learning 106, 1787-1815, 2017
Bayesian nonparametric unsupervised concept drift detection for data stream mining
J Xuan, J Lu, G Zhang
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (1), 1-22, 2020
A Fuzzy Word Similarity Measure for Selecting Top- Similar Words in Query Expansion
Q Liu, H Huang, J Xuan, G Zhang, Y Gao, J Lu
IEEE Transactions on Fuzzy Systems 29 (8), 2132-2144, 2020
Bayesian deep reinforcement learning via deep kernel learning
J Xuan, J Lu, Z Yan, G Zhang
International Journal of Computational Intelligence Systems, 2018
Building hierarchical keyword level association link networks for web events semantic analysis
J Xuan, X Luo, S Zhang, Z Xu, H Liu, F Ye
2011 IEEE Ninth International Conference on Dependable, Autonomic and Secureá…, 2011
Learning from the dark: boosting graph convolutional neural networks with diverse negative samples
W Duan, J Xuan, M Qiao, J Lu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6550-6558, 2022
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