Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems 64 (12), 3197-3234, 2022 | 239 | 2022 |
A survey on video action recognition in sports: Datasets, methods and applications F Wu, Q Wang, J Bian, N Ding, F Lu, J Cheng, D Dou, H Xiong IEEE Transactions on Multimedia, 2022 | 38 | 2022 |
Machine learning in real-time internet of things (iot) systems: A survey J Bian, A Al Arafat, H Xiong, J Li, L Li, H Chen, J Wang, D Dou, Z Guo IEEE Internet of Things Journal 9 (11), 8364-8386, 2022 | 30 | 2022 |
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou Artificial Intelligence 314, 103823, 2023 | 21 | 2023 |
Se-moe: A scalable and efficient mixture-of-experts distributed training and inference system L Shen, Z Wu, WB Gong, H Hao, Y Bai, HC Wu, X Wu, J Bian, H Xiong, ... arXiv preprint arXiv:2205.10034, 2022 | 20 | 2022 |
CSWA: Aggregation-free spatial-temporal community sensing J Bian, H Xiong, Y Fu, S Das Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 18 | 2018 |
Como: Efficient deep neural networks expansion with convolutional maxout B Zhao, H Xiong, J Bian, Z Guo, CZ Xu, D Dou IEEE Transactions on Multimedia 23, 1722-1730, 2020 | 16 | 2020 |
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis J Bian, LE Barnes, G Chen, H Xiong 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 14 | 2017 |
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing S Yang, J Bian, L Wang, H Zhu, Y Fu, H Xiong Ieee access 7, 95122-95131, 2018 | 12 | 2018 |
GLARE: A dataset for traffic sign detection in sun glare N Gray, M Moraes, J Bian, A Wang, A Tian, K Wilson, Y Huang, H Xiong, ... IEEE Transactions on Intelligent Transportation Systems, 2023 | 11 | 2023 |
MODES: model-based optimization on distributed embedded systems J Shi, J Bian, J Richter, KH Chen, J Rahnenführer, H Xiong, JJ Chen Machine Learning 110 (6), 1527-1547, 2021 | 8 | 2021 |
: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing H Xiong, W Cheng, J Bian, W Hu, Z Sun, Z Guo IEEE transactions on neural networks and learning systems 30 (3), 707-717, 2018 | 8 | 2018 |
De-biasing Covariance-Regularized Discriminant Analysis. H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo IJCAI, 2889-2897, 2018 | 8 | 2018 |
AWDA: An adaptive wishart discriminant analysis H Xiong, W Cheng, W Hu, J Bian, Z Guo 2017 IEEE International Conference on Data Mining (ICDM), 525-534, 2017 | 8 | 2017 |
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases S Yang, H Xiong, K Xu, L Wang, J Bian, Z Sun Applied Intelligence 51, 377-395, 2021 | 7 | 2021 |
MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning J Bian, H Xiong, Y Fu, J Huan, Z Guo ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-22, 2020 | 7 | 2020 |
COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search Y Li, H Xiong, Q Wang, L Kong, H Liu, H Li, J Bian, S Wang, G Chen, ... IEEE Transactions on Knowledge and Data Engineering, 2023 | 6 | 2023 |
Work-in-progress: a deep learning strategy for I/O scheduling in storage systems A Farhangi, J Bian, J Wang, Z Guo 2019 IEEE Real-Time Systems Symposium (RTSS), 568-571, 2019 | 6 | 2019 |
Multi-party sparse discriminant learning J Bian, H Xiong, W Cheng, W Hu, Z Guo, Y Fu 2017 IEEE International Conference on Data Mining (ICDM), 745-750, 2017 | 6 | 2017 |
Video4MRI: An empirical study on brain magnetic resonance image analytics with CNN-based video classification frameworks Y Zhang, Q Wang, J Bian, Y Liu, Y Xu, D Dou, H Xiong 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 5 | 2023 |