| 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 | 190 | 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 | 111 | 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 | 90 | 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 | 79 | 2015 |
| Structural property-aware multilayer network embedding for latent factor analysis J Lu, J Xuan, G Zhang, X Luo Pattern Recognition 76, 228-241, 2018 | 77 | 2018 |
| 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 | 77 | 2017 |
| Path integral based convolution and pooling for graph neural networks Z Ma, J Xuan, YG Wang, M Li, P Liņ Advances in Neural Information Processing Systems 33, 16421-16433, 2020 | 65 | 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 |
| 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 |
| 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 |
| 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 | 28 | 2022 |
| A survey on Bayesian nonparametric learning J Xuan, J Lu, G Zhang ACM Computing Surveys (CSUR) 52 (1), 1-36, 2019 | 28 | 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 | 28 | 2018 |
| 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 |
| 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 | 26 | 2022 |
| 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- 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 | 21 | 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 | 21 | 2018 |
