Shuanglong Liu

According to our database, Shuanglong Liu authored at least 34 papers between 2012 and 2024.

Collaborative distances:

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

2024

Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration.

Shuanglong Liu, Hongxiang Fan, Wayne Luk

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA.

Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan

CoRR, 2024

2023

High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point.

Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk

IEEE Trans. Neural Networks Learn. Syst., August, 2023

2022

Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs.

Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk

IEEE Trans. Neural Networks Learn. Syst., 2022

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks.

Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator.

Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk

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

2021

Reconfigurable Acceleration of Short Read Mapping with Biological Consideration.

Ho-Cheung Ng, Izaak Coleman, Shuanglong Liu, Wayne Luk

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA.

Shuanglong Liu, Hongxiang Fan, Wayne Luk

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Acceleration of Short Read Alignment with Runtime Reconfiguration.

Ho-Cheung Ng, Shuanglong Liu, Izaak Coleman, Ringo S. W. Chu, Man-Chung Yue, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2020

Optimizing Fully Spectral Convolutional Neural Networks on FPGA.

Shuanglong Liu, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2020

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search.

Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019

Optimizing CNN-based Hyperspectral ImageClassification on FPGAs.

Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang, Wayne Luk

CoRR, 2019

Towards an Efficient Accelerator for DNN-Based Remote Sensing Image Segmentation on FPGAs.

Shuanglong Liu, Wayne Luk

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism.

Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Efficient Weight Reuse for Large LSTMs.

Zhiqiang Que, Thomas Nugent, Shuanglong Liu, Li Tian, Xinyu Niu, Yongxin Zhu, Wayne Luk

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

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

Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

Optimizing CNN-Based Hyperspectral Image Classification on FPGAs.

Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang, Wayne Luk

Proceedings of the Applied Reconfigurable Computing - 15th International Symposium, 2019

2018

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

Shuanglong Liu, Hongxiang Fan, Xinyu Niu, Ho-Cheung Ng, Yang Chu, Wayne Luk

ACM Trans. Reconfigurable Technol. Syst., 2018

Memory-Efficient Architecture for Accelerating Generative Networks on FPGA.

Shuanglong Liu, Chenglong Zeng, Hongxiang Fan, Ho-Cheung Ng, Jiuxi Meng, Zhiqiang Que, Xinyu Niu, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2018

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

Hongxiang Fan, Shuanglong Liu, Martin Ferianc, Ho-Cheung Ng, Zhiqiang Que, Shen Liu, Xinyu Niu, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2018

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

Hongxiang Fan, Ho-Cheung Ng, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

ADAM: Automated Design Analysis and Merging for Speeding up FPGA Development.

Ho-Cheung Ng, Shuanglong Liu, Wayne Luk

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

A Low-Power Deconvolutional Accelerator for Convolutional Neural Network Based Segmentation on FPGA: Abstract Only.

Shuanglong Liu, Xinyu Niu, Wayne Luk

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Hardware Compilation of Deep Neural Networks: An Overview.

Ruizhe Zhao, Shuanglong Liu, Ho-Cheung Ng, Erwei Wang, James J. Davis, Xinyu Niu, Xiwei Wang, Huifeng Shi, George A. Constantinides, Peter Y. K. Cheung, Wayne Luk

Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2017

Acceleration of MCMC-based algorithms using reconfigurable logic.

Shuanglong Liu

PhD thesis, 2017

An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic.

Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis

IEEE Trans. Computers, 2017

CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets.

Shuanglong Liu, Chao Zhang, Jinwen Ma

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Reconfigurable acceleration of genetic sequence alignment: A survey of two decades of efforts.

Ho-Cheung Ng, Shuanglong Liu, Wayne Luk

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

Communication-Aware MCMC Method for Big Data Applications on FPGAs.

Shuanglong Liu, Christos-Savvas Bouganis

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

2016

Stock Price Prediction Through the Mixture of Gaussian Processes via the Precise Hard-cut EM Algorithm.

Shuanglong Liu, Jinwen Ma

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Stacked Auto-Encoders for Feature Extraction with Neural Networks.

Shuanglong Liu, Chao Zhang, Jinwen Ma

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015

An exact MCMC accelerator under custom precision regimes.

Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis

Proceedings of the 2015 International Conference on Field Programmable Technology, 2015

2014

Parallel resampling for particle filters on FPGAs.

Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis

Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

2012

Self-map building in wireless sensor network based on TDOA measurements.

Shuanglong Liu, Yuchao Tang, Chun Zhang, Shigang Yue

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012