| Ftrans: energy-efficient acceleration of transformers using fpga B Li, S Pandey, H Fang, Y Lyv, J Li, J Chen, M Xie, L Wan, H Liu, C Ding Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020 | 185 | 2020 |
| A survey on neuromorphic computing: Models and hardware A Shrestha, H Fang, Z Mei, DP Rider, Q Wu, Q Qiu IEEE Circuits and Systems Magazine 22 (2), 6-35, 2022 | 84 | 2022 |
| Encoding, model, and architecture: Systematic optimization for spiking neural network in FPGAs H Fang, Z Mei, A Shrestha, Z Zhao, Y Li, Q Qiu Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 72 | 2020 |
| Exploiting neuron and synapse filter dynamics in spatial temporal learning of deep spiking neural network H Fang, A Shrestha, Z Zhao, Q Qiu 2020 International Joint Conferences on Artificial Intelligence (IJCAI …, 2020 | 70 | 2020 |
| Approximating back-propagation for a biologically plausible local learning rule in spiking neural networks A Shrestha, H Fang, Q Wu, Q Qiu Proceedings of the International Conference on Neuromorphic Systems, 1-8, 2019 | 59 | 2019 |
| Gisnet: Graph-based information sharing network for vehicle trajectory prediction Z Zhao, H Fang, Z Jin, Q Qiu 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 53 | 2020 |
| Accel-gcn: High-performance gpu accelerator design for graph convolution networks X Xie, H Peng, A Hasan, S Huang, J Zhao, H Fang, W Zhang, T Geng, ... 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 36 | 2023 |
| Scalable NoC-based neuromorphic hardware learning and inference H Fang, A Shrestha, D Ma, Q Qiu 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 36 | 2018 |
| In-hardware learning of multilayer spiking neural networks on a neuromorphic processor A Shrestha, H Fang, DP Rider, Z Mei, Q Qiu 2021 58th ACM/IEEE Design Automation Conference (DAC), 367-372, 2021 | 28 | 2021 |
| Multivariate time series classification using spiking neural networks H Fang, A Shrestha, Q Qiu 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 22 | 2020 |
| An event-driven neuromorphic system with biologically plausible temporal dynamics H Fang, A Shrestha, Z Zhao, Y Li, Q Qiu 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 22 | 2019 |
| Fast and accurate trajectory tracking for unmanned aerial vehicles based on deep reinforcement learning Y Li, H Li, Z Li, H Fang, AK Sanyal, Y Wang, Q Qiu 2019 IEEE 25th International Conference on Embedded and Real-Time Computing …, 2019 | 22 | 2019 |
| Neuromorphic algorithm-hardware codesign for temporal pattern learning H Fang, B Taylor, Z Li, Z Mei, HH Li, Q Qiu 2021 58th ACM/IEEE Design Automation Conference (DAC), 361-366, 2021 | 15 | 2021 |
| Securing the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples N Xu, K Mahmood, H Fang, E Rathbun, C Ding, W Wen arXiv e-prints, arXiv: 2209.03358, 2022 | 10 | 2022 |
| Neural network pruning and fast training for DRL-based UAV trajectory planning Y Li, H Fang, M Li, Y Ma, Q Qiu 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 574-579, 2022 | 10 | 2022 |
| Temporal and spatial routing for large scale safe and connected uas traffic management in urban areas Z Zhao, Z Jin, C Luo, H Fang, F Basti, MC Gursoy, C Caicedo, Q Qiu 2019 IEEE 25th International Conference on Embedded and Real-Time Computing …, 2019 | 9 | 2019 |
| A general framework to map neural networks onto neuromorphic processor H Fang, A Shrestha, Z Zhao, Y Wang, Q Qiu 20th International Symposium on Quality Electronic Design (ISQED), 20-25, 2019 | 9 | 2019 |
| Neurogenesis dynamics-inspired spiking neural network training acceleration S Huang, H Fang, K Mahmood, B Lei, N Xu, B Lei, Y Sun, D Xu, W Wen, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 7 | 2023 |
| Magnet: Multi-region attention-assisted grounding of natural language queries at phrase level A Shrestha, K Pugdeethosapol, H Fang, Q Qiu 2020 25th International Conference on Pattern Recognition (ICPR), 8275-8282, 2021 | 5 | 2021 |
| High-level plan for behavioral robot navigation with natural language directions and r-net A Shrestha, K Pugdeethosapol, H Fang, Q Qiu arXiv preprint arXiv:2001.02330, 2020 | 4 | 2020 |
Qinru QiuProfessor of Computer Engineering, Syracuse UniversityVerified email at syr.edu
