Jinhua Tao

According to our database1, Jinhua Tao authored at least 17 papers between 2010 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
An Instruction Set Architecture for Machine Learning.
ACM Trans. Comput. Syst., 2019

Estimating PM2.5 Concentrations Based on MODIS AOD and NAQPMS Data over Beijing-Tianjin-Hebei.
Sensors, 2019

A Retrieval of Glyoxal from OMI over China: Investigation of the Effects of Tropospheric NO2.
Remote Sensing, 2019

2018
Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China.
Remote Sensing, 2018

BenchIP: Benchmarking Intelligence Processors.
J. Comput. Sci. Technol., 2018

2017
How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?
Remote Sensing, 2017

Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations.
Remote Sensing, 2017

DLPlib: A Library for Deep Learning Processor.
J. Comput. Sci. Technol., 2017

Stealth-ACK: stealth transmissions of NoC acknowledgements.
SCIENCE CHINA Information Sciences, 2017

2016
Near-Memory Data Services.
IEEE Micro, 2016

Cambricon: An Instruction Set Architecture for Neural Networks.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

An improved constraint method in Optimal Estimation of CH4 from GOSAT SWIR observations.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A dual-phase air quality monitoring system based on satellite data: Framework and preliminary evaluation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Impacts of aerosol scattering on the short-wave infrared satellite observations of CO2.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
Synergetic Use of MODIS Cloud Parameters for Distinguishing High Aerosol Loadings From Clouds Over the North China Plain.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

2013
Retrieval of the Haze Optical Thickness in North China Plain Using MODIS Data.
IEEE Trans. Geoscience and Remote Sensing, 2013

2010
Analysis of Jing-Jin-Tang district seven-year aerosol change using MODIS data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


  Loading...