Exploiting deep learning accelerators for neuromorphic workloads (IOP Neuromorphic Computing and Engineering 2024)
Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems (Advanced Materials 2024)
ANN vs SNN: A case study for Neural Decoding in Implantable Brain-Machine Interfaces (arXiv 2023)
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking (NIST 2023)
Ebbinnot: a hardware-efficient hybrid event-frame tracker for stationary dynamic vision sensors (IEEE Internet of Things Journal 2022)
Research Experience
Worked at Everlight Electronics and Dynasafe Technology in Taiwan before starting the PhD.
Education
PhD Student at City University of Hong Kong, supervised by Professor Arindam Basu.
Background
Research interests include computer vision, deep learning, and robotics. Current research focus is on Neuromorphic Computing, with a particular emphasis on Spiking Neural Networks and Event Vision.