Shuanglong Liu

发表

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

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021 .

Reconfigurable Acceleration of Short Read Mapping with Biological Consideration

Wayne Luk, Shuanglong Liu, Ho-Cheung Ng, 2021, FPGA.

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks

W. Luk, Zhiqiang Que, Hongxiang Fan, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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

Wayne Luk, Shuanglong Liu, Ho-Cheung Ng, 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).

Efficient Weight Reuse for Large LSTMs

Li Tian, Yongxin Zhu, Wayne Luk, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

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).

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).

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).

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..

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

Jinwen Ma, Chao Zhang, Shuanglong Liu, 2017, ICONIP.

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

Wayne Luk, Shuanglong Liu, W. Luk, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

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).

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).

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

W. Luk, Hongxiang Fan, Xinyu Niu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Memory-Efficient Architecture for Accelerating Generative Networks on FPGA

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

Acceleration of Short Read Alignment with Runtime Reconfiguration

Ringo S. W. Chu, W. Luk, Man-Chung Yue, 2020, 2020 International Conference on Field-Programmable Technology (ICFPT).

Hardware Compilation of Deep Neural Networks: An Overview

Wayne Luk, Xinyu Niu, Xiwei Wang, 2018, 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

An exact MCMC accelerator under custom precision regimes

Christos-Savvas Bouganis, Shuanglong Liu, Grigorios Mingas, 2015, 2015 International Conference on Field Programmable Technology (FPT).

Acceleration of MCMC-based algorithms using reconfigurable logic

Shuanglong Liu, Shuanglong Liu, 2017 .

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).

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

W. Luk, Zhiqiang Que, Hongxiang Fan, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Communication-Aware MCMC Method for Big Data Applications on FPGAs

Christos-Savvas Bouganis, Shuanglong Liu, C. Bouganis, 2017, 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Parallel resampling for particle filters on FPGAs

Christos-Savvas Bouganis, Shuanglong Liu, Grigorios Mingas, 2014, 2014 International Conference on Field-Programmable Technology (FPT).