Jiang Bian
Jiang Bian
Ph. D. student of Computer Engineering, UCF
Verified email at knights.ucf.edu - Homepage
Cited by
Cited by
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
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing
S Yang, J Bian, L Wang, H Zhu, Y Fu, H Xiong
IEEE Access 7, 95122-95131, 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
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
De-biasing Covariance-Regularized Discriminant Analysis.
H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo
IJCAI, 2889-2897, 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
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
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
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
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
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
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
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
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
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
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
Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems
J Bian
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
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
Technical Program Committee Members
B Arnetz, L Barnes, D Bhatia, J Bian, P Bonato, P Chen, Y Chen, Y Chen, ...
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