| 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 | 13 | 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 | 8 | 2018 |
| : 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 | 6 | 2018 |
| 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 | 6 | 2018 |
| De-biasing Covariance-Regularized Discriminant Analysis. H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo IJCAI, 2889-2897, 2018 | 5 | 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 | 4 | 2017 |
| 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 | 3 | 2017 |
| 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 | 2 | 2019 |
| SpHMC: Spectral Hamiltonian Monte Carlo H Xiong, K Wang, J Bian, Z Zhu, CZ Xu, Z Guo, J Huan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5516-5524, 2019 | 1 | 2019 |
| Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou arXiv preprint arXiv:2103.10689, 2021 | | 2021 |
| Sampling Sparse Representations with Randomized Measurement Langevin Dynamics K Wang, H Xiong, J Bian, Z Zhu, Q Gao, Z Guo, CZ Xu, J Huan, D Dou ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-21, 2021 | | 2021 |
| 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 (1), 377-395, 2021 | | 2021 |
| Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities S Vaidhun, Z Guo, J Bian, H Xiong, SK Das 2020 12th International Conference on Advanced Computational Intelligence …, 2020 | | 2020 |
| CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data J Bian, S Yang, H Xiong, L Wang, Y Fu, Z Sun, Z Guo, J Wang IEEE Transactions on Emerging Topics in Computational Intelligence, 2020 | | 2020 |
| COMO: Widening Deep Neural Networks with COnvolutional MaxOut B Zhao, H Xiong, J Bian, Z Guo, CZ Xu, D Dou IEEE Transactions on Multimedia, 2020 | | 2020 |
| 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 | | 2020 |
| Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems J Bian | | 2020 |
| On Generating Dominators of Customer Preferences J Bian, W Wang, X Zhang, W Wang, A Huang, Z Guo 2019 IEEE International Conference on Big Data (Big Data), 2177-2186, 2019 | | 2019 |
| FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification H Xiong, W Cheng, W Hu, J Bian, Z Guo arXiv preprint arXiv:1704.07790, 2017 | | 2017 |
| Technical Program Committee Members B Arnetz, L Barnes, D Bhatia, J Bian, P Bonato, P Chen, Y Chen, Y Chen, ... | | |
Haoyi XiongPrincipal Architect & Research Scientist, BaiduVerified email at baidu.com
