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Conference and Workshop Papers
- 2024
[c18]Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu:
SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. ASPDAC 2024: 848-853- 2023
- [c17]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC 2023: 1-6 - [c16]Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding:
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. ICCAD 2023: 1-9 - 2022
- [c15]Yilan Li, Haowen Fang, Mingyang Li, Yue Ma, Qinru Qiu:
Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. ASP-DAC 2022: 574-579 - 2021
- [c14]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC 2021: 361-366 - [c13]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. DAC 2021: 367-372 - 2020
- [c12]Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. ICCAD 2020: 62:1-62:9 - [c11]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR 2020: 8275-8282 - [c10]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. IJCAI 2020: 2799-2806 - [c9]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN 2020: 1-7 - [c8]Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. IJCNN 2020: 1-7 - [c7]Bingbing Li, Santosh Pandey
, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED 2020: 175-180 - 2019
- [c6]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD 2019: 1-8 - [c5]Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu:
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS 2019: 10:1-10:8 - [c4]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu:
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED 2019: 20-25 - [c3]Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu:
Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. RTCSA 2019: 1-9 - [c2]Ziyi Zhao, Zhao Jin, Chen Luo, Haowen Fang, Franco Basti, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu:
Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas. RTCSA 2019: 1-6 - 2018
- [c1]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN 2018: 1-8
Informal and Other Publications
- 2023
- [i13]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR abs/2304.12214 (2023) - [i12]Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu:
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. CoRR abs/2307.11314 (2023) - [i11]Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding:
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. CoRR abs/2308.11825 (2023) - 2022
- [i10]Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen:
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR abs/2209.03358 (2022) - 2021
- [i9]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR abs/2104.10712 (2021) - [i8]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR abs/2105.03649 (2021) - 2020
- [i7]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR abs/2001.02330 (2020) - [i6]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR abs/2003.02944 (2020) - [i5]Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. CoRR abs/2003.11973 (2020) - [i4]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR abs/2006.03776 (2020) - [i3]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. CoRR abs/2007.03547 (2020) - [i2]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR abs/2007.08563 (2020) - 2018
- [i1]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR abs/1810.09233 (2018)
Coauthor Index
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