Fuwei Li

According to our database, Fuwei Li authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synchronous Dual-Switch Ultrahigh Step-Up DC-DC Converter Based on Coupled Inductor and Voltage Multiplier for Photovoltaic Systems.

Fuwei Li, Jie He, Daojiri Huang, Peng Luo, Haoyu Jiang

IEEE Trans. Ind. Electron., May, 2024

2023

Risk Region-based Prediction Model for the Epidemic Spreading.

Fuwei Li, Dianjie Lu, Baoxu An, Guijuan Zhang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Deep reinforcement learning-based panic crowd evacuation simulation.

Baoxu An, Guijuan Zhang, Fuwei Li, Nianyun Song, Hong Liu, Dianjie Lu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Machine Learning Algorithms - Adversarial Robustness in Signal Processing

Fuwei Li, Lifeng Lai, Shuguang Cui

Wireless Networks, Springer, ISBN: 978-3-031-16374-6, 2022

2021

Optimal Feature Manipulation Attacks Against Linear Regression.

Fuwei Li, Lifeng Lai, Shuguang Cui

IEEE Trans. Signal Process., 2021

On the Adversarial Robustness of LASSO Based Feature Selection.

Fuwei Li, Lifeng Lai, Shuguang Cui

IEEE Trans. Signal Process., 2021

On The Adversarial Robustness of Principal Component Analysis.

Ying Li, Fuwei Li, Lifeng Lai, Jun Wu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

On the Adversarial Robustness of Subspace Learning.

Fuwei Li, Lifeng Lai, Shuguang Cui

IEEE Trans. Signal Process., 2020

On the Adversarial Robustness of Linear Regression.

Fuwei Li, Lifeng Lai, Shuguang Cui

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

On the Adversarial Robustness of Feature Selection Using LASSO.

Fuwei Li, Lifeng Lai, Shuguang Cui

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2015

Robust One-Bit Bayesian Compressed Sensing with Sign-Flip Errors.

Fuwei Li, Jun Fang, Hongbin Li, Lei Huang

IEEE Signal Process. Lett., 2015

Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing.

Fuwei Li, Jun Fang, Huiping Duan, Zhi Chen, Hongbin Li

CoRR, 2015

Support knowledge-aided sparse Bayesian learning for compressed sensing.

Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, Zhi Chen

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information.

Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li

CoRR, 2014

2012

UKF-based training algorithm for feed-forward neural networks with application to XOR classification problem.

Xiaozhen Zhao, Jiaxiang Yu, Fuwei Li

Proceedings of the Eighth International Conference on Natural Computation, 2012