An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks. - Peyton Chandarana; Junlin Ou; Ramtin Zand (IGSC (Workshops), 2021)

GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization. - Junlin Ou; Seong Hyeon Hong; Paul Ziehl; Yi Wang 070 (J. Intell. Robotic Syst., 2022)

Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter. - Seong Hyeon Hong; Junlin Ou; Yi Wang 070 (Neural Comput. Appl., 2023)

GPU-enabled microfluidic design automation for concentration gradient generators. - Seong Hyeon Hong; Jung-Il Shu; Junlin Ou; Yi Wang 070 (Eng. Comput., 2023)

A low-cost indoor positioning system based on data-driven modeling for robotics research and education. - Junlin Ou; Seong Hyeon Hong; Tristan Kyzer; Haizhou Yang; Xianlian Zhou 001; Yi Wang 070 (Robotica, 2023)

Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots. - Junlin Ou; Seong Hyeon Hong; Ge Song; Yi Wang 070 (Eng. Appl. Artif. Intell., 2023)

Graphics processing unit-enabled path planning based on global evolutionary dynamic programming and local genetic algorithm optimization. - Junlin Ou; Ge Song; Yi Wang 070 (Appl. Soft Comput., 2025)