Pengfei Sun
- Lab member: 2025-
- Google Scholar
- ORCID
- Supervised by: Danyal Akarca, Dan Goodman
Pengfei Sun works on developing brain-inspired neural networks, with a particular focus on delay learning, neuromorphic applications, and EEG decoding.
Pengfei is supervised by Dan Akarca and co-supervised by Dan Goodman.
External publications
This is a short preview of the publications from other sources (ORCID, Semantic Scholar). Note that publications from work done outside the Neural Reckoning group are included in this list.
2025
- Pengfei Sun, Jorg De Winne, Malu Zhang, Paul Devos, Dick Botteldooren (2025)
Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals
Neural Networks
2024
- Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren (2024)
Delay learning based on temporal coding in Spiking Neural Networks
Neural Networks - Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren (2024)
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate
IEEE Transactions on Neural Networks and Learning Systems
2023
- Pengfei Sun, Yansong Chua, Paul Devos, Dick Botteldooren (2023)
Learnable axonal delay in spiking neural networks improves spoken word recognition
Frontiers in Neuroscience - Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren (2023)
Adaptive Axonal Delays in Feedforward Spiking Neural Networks for Accurate Spoken Word Recognition
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2022
- Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun (2022)
Spikemax: Spike-based Loss Methods for Classification
2022 International Joint Conference on Neural Networks (IJCNN) - Pengfei Sun, Longwei Zhu, Dick Botteldooren (2022)
Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021
- Nicholas LeBow, et al. (2021)
Real-Time Edge Neuromorphic Tasting From Chemical Microsensor Arrays
Frontiers in Neuroscience - Pengliang Sun, Xuetong Niu, Pengfei Sun, Kele Xu (2021)
Squeeze-and-Excitation network-Based Radar Object Detection With Weighted Location Fusion
Proceedings of the 2021 International Conference on Multimedia Retrieval
2020
- Roshan Gopalakrishnan, Yansong Chua, Pengfei Sun, Ashish Jith Sreejith Kumar, Arindam Basu (2020)
HFNet: A CNN Architecture Co-designed for Neuromorphic Hardware With a Crossbar Array of Synapses
Frontiers in Neuroscience