Liqiang Lu

发表

Accelerating convolutional neural networks on FPGAs

Deming Chen, Liqiang Lu, Size Zheng, 2019 .

EMMS-based numerical simulation on gas and solids distribution in large-scale FCC regenerators

Lei Wu, Liqiang Lu, Yaning Liu, 2015 .

Analysis of the Communication Demand of Smart Grid

Tao Fu, Cheng Zhang, Sun Jia, 2016 .

Speedy: An Accelerator for Sparse Convolutional Neural Networks on FPGAs

Wei Lin, Yun Liang, Jiansong Zhang, 2019, FPGA.

Quasi-real-time simulation of rotating drum using discrete element method with parallel GPU computing

Wei Ge, Jinghai Li, Xiaowei Wang, 2011 .

Computer virtual experiment on fluidized beds using a coarse-grained discrete particle method-EMMS-DPM

Liqiang Lu, Ji Xu, Wei Ge, 2016 .

Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs

Shengen Yan, Yun Liang, Liqiang Lu, 2017, 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

An efficient and reliable predictive method for fluidized bed simulation

Liqiang Lu, Sofiane Benyahia, Tingwen Li, 2017 .

SpWA: an efficient sparse winograd convolutional neural networks accelerator on FPGAs

Yun Liang, Liqiang Lu, 2018, DAC.

EMMS-based discrete particle method (EMMS–DPM) for simulation of gas–solid flows

Jinghai Li, Xinhua Liu, Liqiang Lu, 2014 .

Multiscale Discrete Supercomputing – A Game Changer for Process Simulation?

Jinghai Li, Liqiang Lu, Ji Xu, 2015 .

Application and Prospect of Internet of Things in Intelligent Traffic Management

Liqiang Lu, Hongtong Qiu, Leiyuan Zhang, 2011 .

Advances in Coarse Discrete Particle Methods With Industrial Applications

Liqiang Lu, Sofiane Benyahia, S. Benyahia, 2018 .

Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs

Shengen Yan, Liqiang Lu, Qingcheng Xiao, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

SpWA: An Efficient Sparse Winograd Convolutional Neural Networks Accelerator on FPGAs

Yun Liang, Liqiang Lu, Yun Liang, 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).

Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs

Shengen Yan, Yun Liang, Yu-Wing Tai, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

Numerical Investigation of the Ability of Salt Tracers to Represent the Residence Time Distribution of Fluidized Catalytic Cracking Particles

Liqiang Lu, Tingwen Li, Sofiane Benyahia, 2017 .

Discrete simulation of granular and particle-fluid flows: from fundamental study to engineering application

Wei Ge, Jinghai Li, Liqiang Lu, 2017 .

Coarse-Grained-Particle Method for Simulation of Liquid–Solids Reacting Flows

Liqiang Lu, Kisoo Yoo, Sofiane Benyahia, 2016 .

Experimental study and discrete element method simulation of Geldart Group A particles in a small-scale fluidized bed

Liqiang Lu, William A. Rogers, Tingwen Li, 2017 .

Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed

Liqiang Lu, Sofiane Benyahia, Balaji Gopalan, 2017 .

Extension of a coarse grained particle method to simulate heat transfer in fluidized beds

Liqiang Lu, Tingwen Li, A. B. Morris, 2017 .

Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow

Liqiang Lu, Tingwen Li, Sofiane Benyahia, 2018 .

Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes

Liqiang Lu, William A. Rogers, Tingwen Li, 2018, Chemical Engineering Science.