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

A Convolutional Denoising Autoencoder for Protein Scaffold Filling. - Jordan Sturtz; Richard Annan; Binhai Zhu; Xiaowen Liu; Letu Qingge (ISBRA, 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 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)

Generative AI Models for the Protein Scaffold Filling Problem. - Letu Qingge; Kushal Badal; Richard Annan; Jordan Sturtz; Xiaowen Liu; Binhai Zhu (J. Comput. Biol., 2025)