Nested-loop neural network vector control of permanent magnet synchronous motors. - Shuhui Li 001; Michael Fairbank; Xingang Fu; Donald C. Wunsch; Eduardo Alonso (IJCNN, 2013)

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. - Michael Fairbank; Shuhui Li 001; Xingang Fu; Eduardo Alonso; Donald C. Wunsch II (Neural Networks, 2014)

Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. - Shuhui Li 001; Xingang Fu; Ishan Jaithwa; Eduardo Alonso; Michael Fairbank; Donald C. Wunsch II (IJCCI (NCTA), 2015)

Wavelet Enhanced Image Preprocessing and Neural Networks for Hand Gesture Recognition. - Xingang Fu; Jiang Lu; Ting Zhang; Chadwell Bonair; Marvin L. Coats (SmartCity, 2015)

Implement Optimal Vector Control for LCL-Filter-Based Grid-Connected Converters by Using Recurrent Neural Networks. - Xingang Fu; Shuhui Li 001; Ishan Jaithwa (IEEE Trans. Ind. Electron., 2015)

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. - Xingang Fu; Shuhui Li 001; Michael Fairbank; Donald C. Wunsch; Eduardo Alonso (IEEE Trans. Neural Networks Learn. Syst., 2015)

A smart system for face detection with spatial correlation improvement in IoT environment. - Jiang Lu; Xingang Fu; Ting Zhang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

The Effect of High Performance Computer on Deep Learning: A Face Expression Recognition Case. - Xin Zhang; Francisco Reveriano; Jiang Lu; Xingang Fu; Ting Zhang (CSE/EUC, 2019)

Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. - Shuhui Li 001; Hoyun Won; Xingang Fu; Michael Fairbank; Donald C. Wunsch; Eduardo Alonso (IEEE Trans. Cybern., 2020)

Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. - Weizhen Dong; Shuhui Li 001; Xingang Fu; Zhongwen Li; Michael Fairbank; Yixiang Gao (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Deep Learning Approaches for the Protein Scaffold Filling Problem. - Binhai Zhu; Jordan Sturtz; Xiaowen Liu; Letu Qingge; Xiaohong Yuan; Xingang Fu (ICTAI, 2022)

FPGA Acceleration of a Real-time Neural Network Controller for Solar Inverter. - Chanakya Hingu; Xingang Fu; Scott Smith; Taofiki Saliyu; Letu Qingge (UEMCON, 2022)

VHDL Schematic Design and FPGA Simulation of Neural Network Activation Function using Continued Fractions. - Taofiki Saliyu; Xingang Fu; Chanakya Hingu (UEMCON, 2022)

Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier. - Piotr J. Smieja; Jiang Lu; Qingquan Sun; Xingang Fu; Ting Zhang (ISCID, 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 (SMARTCOMP, 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 (UEMCON, 2023)

Hardware Evaluation for GaN-Based Single-Phase Five-Level Inverter. - Abdullah Al Hadi; Xingang Fu; Eklas Hossain; Rajab Challoo (IEEE Access, 2023)

Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. - Xingang Fu; Shuhui Li 001; Donald C. Wunsch; Eduardo Alonso (IEEE Trans. Neural Networks Learn. Syst., 2023)

Accelerating RNN Controllers with Parallel Computing and Weight Dropout Techniques. - Maxwell Sam; Kushal Kalyan Devalmapeta Surendranath; Xingang Fu; Letu Qingge (IEA/AIE, 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 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)

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)