| Manifold regularized matrix completion for multi-label learning with ADMM B Liu, Y Li, Z Xu Neural Networks 101, 57-67, 2018 | 32 | 2018 |
| Neuralcp: Bayesian multiway data analysis with neural tensor decomposition B Liu, L He, Y Li, S Zhe, Z Xu Cognitive Computation 10, 1051-1061, 2018 | 30 | 2018 |
| Knowledge base completion by variational bayesian neural tensor decomposition L He, B Liu, G Li, Y Sheng, Y Wang, Z Xu Cognitive Computation 10, 1075-1084, 2018 | 26 | 2018 |
| 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 | 25 | 2020 |
| 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 | 24 | 2020 |
| 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 | 16 | 2011 |
| Learning spatial-temporal feature with graph product Z Tan, Y Zhu, B Liu Signal Processing 210, 109062, 2023 | 13 | 2023 |
| 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 | 13 | 2018 |
| 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 | 13 | 2014 |
| Manifold regularized matrix completion for multilabel classification B Liu, Z Xu, S Wu, F Wang Pattern Recognition Letters 80, 58-63, 2016 | 12 | 2016 |
| Domain adaptation with feature and label adversarial networks ZX Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang Neurocomputing 439 (7), 294-301, 2021 | 9 | 2021 |
| 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 | 9 | 2020 |
| Chinese document classification with bi-directional convolutional language model B Liu, G Yin 43rd International ACM SIGIR Conference on Research and Development in …, 2020 | 9 | 2020 |
| 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 | 8 | 2017 |
| 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 | 7 | 2017 |
| Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks L Bin, H Jiujun, L Ziyuan, H Xiaoyang, Z Xiang, Y Guosheng The 32th International Joint Conference on Artificial Intelligence on AI for …, 2023 | 6 | 2023 |
| 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 | 6 | 2019 |
| Representation learning from time labelled heterogeneous data for mobile crowdsensing C Ma, Q Zhu, S Wu, B Liu Mobile Information Systems 2016 (1), 2097243, 2016 | 5 | 2016 |
| Futures quantitative investment with heterogeneous continual graph neural network M Hu, Z Tan, B Liu, G Yin arXiv preprint arXiv:2303.16532, 2023 | 4 | 2023 |
| Asymmetric graph representation learning Z Tan, B Liu, G Yin arXiv preprint arXiv:2110.07436, 2021 | 4 | 2021 |
