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
202 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
115 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
94 2016 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
81 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
79 2018 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
79 2015 Path integral based convolution and pooling for graph neural networks Z Ma, J Xuan, YG Wang, M Li, P Liò
Advances in Neural Information Processing Systems 33, 16421-16433, 2020
74 2020 Topic model for graph mining J Xuan, J Lu, G Zhang, X Luo
IEEE transactions on cybernetics 45 (12), 2792-2803, 2015
57 2015 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
39 2022 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
36 2017 A survey on Bayesian nonparametric learning J Xuan, J Lu, G Zhang
ACM Computing Surveys (CSUR) 52 (1), 1-36, 2019
29 2019 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
29 2018 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
29 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
29 2014 Concept drift detection delay index A Liu, J Lu, Y Song, J Xuan, G Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4585-4597, 2022
27 2022 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
27 2016 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
25 2020 A Bayesian nonparametric model for multi-label learning J Xuan, J Lu, G Zhang, RYD Xu, X Luo
Machine Learning 106, 1787-1815, 2017
25 2017 A Fuzzy Word Similarity Measure for Selecting Top- Q Liu, H Huang, J Xuan, G Zhang, Y Gao, J Lu
IEEE Transactions on Fuzzy Systems 29 (8), 2132-2144, 2020
23 2020 Bayesian deep reinforcement learning via deep kernel learning J Xuan, J Lu, Z Yan, G Zhang
International Journal of Computational Intelligence Systems 12 (1), 164-171, 2018
23 2018 