Interpretable fracturing optimization of shale oil reservoir production based on causal inference.
Appl. Intell., December, 2024
Synchronous Dual-Switch Ultrahigh Step-Up DC-DC Converter Based on Coupled Inductor and Voltage Multiplier for Photovoltaic Systems.
IEEE Trans. Ind. Electron., May, 2024
Feature Selection Based on Wasserstein Distance.
CoRR, 2024
Risk Region-based Prediction Model for the Epidemic Spreading.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
Deep reinforcement learning-based panic crowd evacuation simulation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
Machine Learning Algorithms - Adversarial Robustness in Signal Processing
Wireless Networks, Springer, ISBN: 978-3-031-16374-6, 2022
Optimal Feature Manipulation Attacks Against Linear Regression.
IEEE Trans. Signal Process., 2021
On the Adversarial Robustness of LASSO Based Feature Selection.
IEEE Trans. Signal Process., 2021
On The Adversarial Robustness of Principal Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2021
On the Adversarial Robustness of Subspace Learning.
IEEE Trans. Signal Process., 2020
On the Adversarial Robustness of Linear Regression.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
On the Adversarial Robustness of Feature Selection Using LASSO.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Robust One-Bit Bayesian Compressed Sensing with Sign-Flip Errors.
IEEE Signal Process. Lett., 2015
Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing.
CoRR, 2015
Support knowledge-aided sparse Bayesian learning for compressed sensing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information.
CoRR, 2014
UKF-based training algorithm for feed-forward neural networks with application to XOR classification problem.
Proceedings of the Eighth International Conference on Natural Computation, 2012