A Deep Q-network (DQN) Based Path Planning Method for Mobile Robots. - Siyu Zhou; Xin Liu; Yingfu Xu; Jifeng Guo (ICIA, 2018)

CNN-based Ego-Motion Estimation for Fast MAV Maneuve. - Yingfu Xu; Guido C. H. E. de Croon (ICRA, 2021)

CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers. - Yingfu Xu; Guido C. H. E. de Croon (CoRR, 2021)

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. - Cina Arjmand; Yingfu Xu; Kevin Shidqi; Alexandra F. Dobrita; Kanishkan Vadivel; Paul Detterer; Manolis Sifalakis; Amirreza Yousefzadeh; Guangzhi Tang (ICONS, 2024)

Fully neuromorphic vision and control for autonomous drone flight. - Federico Paredes-Vallés; Jesse J. Hagenaars; Julien Dupeyroux; Stein Stroobants; Yingfu Xu; Guido C. H. E. de Croon (Sci. Robotics, 2024)

Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification. - Yingfu Xu; Guangzhi Tang; Amirreza Yousefzadeh; Guido C. H. E. de Croon; Manolis Sifalakis (Neural Networks, 2025)

CUAHN-VIO: Content-and-uncertainty-aware homography network for visual-inertial odometry. - Yingfu Xu; Guido C. H. E. de Croon (Robotics Auton. Syst., 2025)

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. - Ivan Knunyants; Maryam Tavakol; Manolis Sifalakis; Yingfu Xu; Amirreza Yousefzadeh; Guangzhi Tang (CoRR, 2025)

SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems. - Prithvish Nembhani; Oliver Rhodes; Guangzhi Tang; Alexandra F. Dobrita; Yingfu Xu; Kanishkan Vadivel; Kevin Shidqi; Paul Detterer; Mario Konijnenburg; Gert-Jan van Schaik; Manolis Sifalakis; Zaid Al-Ars; et al. (CoRR, 2025)

Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. - Shenqi Wang; Yingfu Xu; Amirreza Yousefzadeh; Sherif Eissa; Henk Corporaal; Federico Corradi; Guangzhi Tang (CoRR, 2025)