Hongxiang Fan

发表

Optimizing Reconfigurable Recurrent Neural Networks

Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, 2020, 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search

Zhiqiang Que, Hongxiang Fan, Xinyu Niu, 2020, 2020 IEEE 38th International Conference on Computer Design (ICCD).

A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

F-C3D: FPGA-based 3-dimensional convolutional neural network

Wayne Luk, Qiang Liu, Hongxiang Fan, 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).

Towards efficient deep neural network training by FPGA-based batch-level parallelism

Wayne Luk, Hongxiang Fan, Cheng Luo, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks

Hongxiang Fan, Wayne Luk, Martin Ferianc, 2020, ARC.

Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2018, ACM Trans. Reconfigurable Technol. Syst..

Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA

Hongxiang Fan, Xinyu Niu, Wayne Luk, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).

Mapping Large LSTMs to FPGAs with Weight Reuse

Yongxin Zhu, Zhiqiang Que, Hongxiang Fan, 2020, Journal of Signal Processing Systems.

VINNAS: Variational Inference-based Neural Network Architecture Search pdf

Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, 2020, ArXiv.

IC security evaluation against fault injection attack based on FPGA emulation

Tao Li, Qiang Liu, Hongxiang Fan, 2016, 2016 International Conference on Field-Programmable Technology (FPT).

Towards efficient deep neural network training by FPGA-based batch-level parallelism

Hongxiang Fan, Wayne Luk, Shuanglong Liu, 2020 .

Memory-Efficient Architecture for Accelerating Generative Networks on FPGA

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, ArXiv.

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, 2021, ICANN.

Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

Quantum Most-Significant Digit-First Addition

Hongxiang Fan, Jiawei Liang, He Li, 2021, 2021 12th International Green and Sustainable Computing Conference (IGSC).

Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021 .

Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2021 International Conference on Field-Programmable Technology (ICFPT).

Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA

Hongxiang Fan, Shuanglong Liu, Wayne Luk, 2021, 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).

High-Performance FPGA-based Accelerator for Bayesian Neural Networks

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).