Scalable NoC-based Neuromorphic Hardware Learning and Inference. - Haowen Fang; Amar Shrestha; De Ma; Qinru Qiu (IJCNN, 2018)

An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Yilan Li; Qinru Qiu (ICCAD, 2019)

Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. - Amar Shrestha; Haowen Fang; Qing Wu 002; Qinru Qiu (ICONS, 2019)

A General Framework to Map Neural Networks onto Neuromorphic Processor. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Yanzhi Wang; Qinru Qiu (ISQED, 2019)

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. - Yilan Li; Hongjia Li; Zhe Li 001; Haowen Fang; Amit K. Sanyal; Yanzhi Wang; Qinru Qiu (RTCSA, 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 001; Qinru Qiu (RTCSA, 2019)

Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. - Haowen Fang; Zaidao Mei; Amar Shrestha; Ziyi Zhao; Yilan Li; Qinru Qiu (ICCAD, 2020)

MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. - Amar Shrestha; Krittaphat Pugdeethosapol; Haowen Fang; Qinru Qiu (ICPR, 2020)

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Qinru Qiu (IJCAI, 2020)

Multivariate Time Series Classification Using Spiking Neural Networks. - Haowen Fang; Amar Shrestha; Qinru Qiu (IJCNN, 2020)

GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. - Ziyi Zhao; Haowen Fang; Zhao Jin; Qinru Qiu (IJCNN, 2020)

FTRANS: energy-efficient acceleration of transformers using FPGA. - Bingbing Li; Santosh Pandey; Haowen Fang; Yanjun Lyv; Ji Li 006; Jieyang Chen; Mimi Xie; Lipeng Wan 001; Hang Liu 001; Caiwen Ding (ISLPED, 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)

Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. - Haowen Fang; Brady Taylor; Ziru Li; Zaidao Mei; Hai Helen Li; Qinru Qiu (DAC, 2021)

In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. - Amar Shrestha; Haowen Fang; Daniel Patrick Rider; Zaidao Mei; Qinru Qiu (DAC, 2021)

Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. - Yilan Li; Haowen Fang; Mingyang Li; Yue Ma; Qinru Qiu (ASP-DAC, 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)

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 (DAC, 2023)

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. - Xi Xie; Hongwu Peng; Amit Hasan 001; Shaoyi Huang; Jiahui Zhao; Haowen Fang; Wei Zhang; Tong Geng; Omer Khan; Caiwen Ding (ICCAD, 2023)

Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. - Zhenhang Zhang; Jingang Jin; Haowen Fang; Qinru Qiu (CoRR, 2023)

SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. - Zhenhang Zhang; Jingang Jin; Haowen Fang; Qinru Qiu (ASPDAC, 2024)