Xingang Fu

According to our database, Xingang Fu authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Parallel Trajectory Training of Recurrent Neural Network Controllers With Levenberg-Marquardt and Forward Accumulation Through Time in Closed-Loop Control Systems.

Xingang Fu, Jordan Sturtz, Eduardo Alonso, Rajab Challoo, Letu Qingge

IEEE Trans. Sustain. Comput., 2024

Accelerating the neural network controller embedded implementation on FPGA with novel dropout techniques for a solar inverter.

Jordan Sturtz, Kushal Kalyan Devalampeta Surendranath, Maxwell Sam, Xingang Fu, Chanakya Dinesh Hingu, Rajab Challoo, Letu Qingge

Pervasive Mob. Comput., 2024

32-Bit Fixed and Floating-Point Hardware Implementation for Enhanced Inverter Control: Leveraging FPGA in Recurrent Neural Network Applications.

Chanakya Hingu, Xingang Fu, Praneeth Vangala, Ramkrishna Mishan, Poria Fajri

IEEE Access, 2024

Accelerating RNN Controllers with Parallel Computing and Weight Dropout Techniques.

Maxwell Sam, Kushal Kalyan Devalmapeta Surendranath, Xingang Fu, Letu Qingge

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

2023

Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.

Xingang Fu, Shuhui Li, Donald C. Wunsch, Eduardo Alonso

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Hardware Evaluation for GaN-Based Single-Phase Five-Level Inverter.

Abdullah Al Hadi, Xingang Fu, Eklas Hossain, Rajab Challoo

IEEE Access, 2023

Accelerating FPGA Implementation of Neural Network Controllers via 32-bit Fixed-Point Design for Real-Time Control.

Chanakya Hingu, Xingang Fu, Rajab Challoo, Jiang Lu, Xiaokun Yang, Letu Qingge

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

A Novel Weight Dropout Approach to Accelerate the Neural Network Controller Embedded Implementation on FPGA for a Solar Inverter.

Jordan Sturtz, Xingang Fu, Chanakya Hingu, Letu Qingge

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier.

Piotr J. Smieja, Jiang Lu, Qingquan Sun, Xingang Fu, Ting Zhang

Proceedings of the 16th International Symposium on Computational Intelligence and Design, 2023

2022

VHDL Schematic Design and FPGA Simulation of Neural Network Activation Function using Continued Fractions.

Taofiki Saliyu, Xingang Fu, Chanakya Hingu

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

FPGA Acceleration of a Real-time Neural Network Controller for Solar Inverter.

Chanakya Hingu, Xingang Fu, Scott Smith, Taofiki Saliyu, Letu Qingge

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Deep Learning Approaches for the Protein Scaffold Filling Problem.

Binhai Zhu, Jordan Sturtz, Xiaowen Liu, Letu Qingge, Xiaohong Yuan, Xingang Fu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks.

Weizhen Dong, Shuhui Li, Xingang Fu, Zhongwen Li, Michael Fairbank, Yixiang Gao

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

2020

Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results.

Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso

IEEE Trans. Cybern., 2020

2019

The Effect of High Performance Computer on Deep Learning: A Face Expression Recognition Case.

Xin Zhang, Francisco Reveriano, Jiang Lu, Xingang Fu, Ting Zhang

Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2017

A smart system for face detection with spatial correlation improvement in IoT environment.

Jiang Lu, Xingang Fu, Ting Zhang

Proceedings of the 2017 IEEE SmartWorld, 2017

2015

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso

IEEE Trans. Neural Networks Learn. Syst., 2015

Implement Optimal Vector Control for LCL-Filter-Based Grid-Connected Converters by Using Recurrent Neural Networks.

Xingang Fu, Shuhui Li, Ishan Jaithwa

IEEE Trans. Ind. Electron., 2015

Wavelet Enhanced Image Preprocessing and Neural Networks for Hand Gesture Recognition.

Xingang Fu, Jiang Lu, Ting Zhang, Chadwell Bonair, Marvin L. Coats

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks.

Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances.

Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, Donald C. Wunsch II

Neural Networks, 2014

2013

Nested-loop neural network vector control of permanent magnet synchronous motors.

Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013