Haowen Fang

According to our database, Haowen Fang authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline.

Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu

CoRR, 2023

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks.

Xi Xie, Hongwu Peng, Md Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration.

Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

CoRR, 2022

Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning.

Yilan Li, Haowen Fang, Mingyang Li, Yue Ma, Qinru Qiu

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor.

Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning.

Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET.

Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu

CoRR, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.

Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction.

Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multivariate Time Series Classification Using Spiking Neural Networks.

Haowen Fang, Amar Shrestha, Qinru Qiu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level.

Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs.

Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas.

Ziyi Zhao, Zhao Jin, Chen Luo, Haowen Fang, Franco Basti, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu

Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.

Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu

Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

A General Framework to Map Neural Networks onto Neuromorphic Processor.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu

Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks.

Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu

Proceedings of the International Conference on Neuromorphic Systems, 2019

An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics.

Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu

Proceedings of the International Conference on Computer-Aided Design, 2019

2018

Scalable NoC-based Neuromorphic Hardware Learning and Inference.

Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018