Bin Li

Orcid: 0000-0003-0831-092X

Affiliations:
  • Louisiana State University, Department of Experimental Statistics, Baton Rouge, LA, USA
  • Ohio State University, Department of Statistics Columbus, OH, USA (PhD 2006)


According to our database1, Bin Li authored at least 32 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
A Smartphone-Enabled Imaging Device for Chromotropic Acid-Based Measurement of Nitrate in Soil Samples.
Sensors, September, 2023

2022
Ensemble of fast learning stochastic gradient boosting.
Commun. Stat. Simul. Comput., 2022

Using Nix color sensor and Munsell soil color variables to classify contrasting soil types and predict soil organic carbon in Eastern India.
Comput. Electron. Agric., 2022

2021
Data Integration Using Model-Based Boosting.
SN Comput. Sci., 2021

2020
Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture.
IEEE Trans. Geosci. Remote. Sens., 2020

Computer comparisons in the presence of performance variation.
Frontiers Comput. Sci., 2020

A field-portable acoustic sensing device to measure soil moisture.
Comput. Electron. Agric., 2020

2017
A nonparametric test of independence between 2 variables.
Stat. Anal. Data Min., 2017

2016
Soft error resilience in Big Data kernels through modular analysis.
J. Supercomput., 2016

2015
A framework for evaluating comprehensive fault resilience mechanisms in numerical programs.
J. Supercomput., 2015

Powering Up Dark Silicon: Mitigating the Limitation of Power Delivery via Dynamic Pin Switching.
IEEE Trans. Emerg. Top. Comput., 2015

Cross-architecture prediction based scheduling for energy efficient execution on single-ISA heterogeneous chip-multiprocessors.
Microprocess. Microsystems, 2015

Precise computer comparisons via statistical resampling methods.
Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

2014
Comprehensive and Efficient Design Parameter Selection for Soft Error Resilient Processors via Universal Rules.
IEEE Trans. Computers, 2014

Design configuration selection for hard-error reliable processors via statistical rules.
Microprocess. Microsystems, 2014

Energy efficient job scheduling in single-ISA heterogeneous chip-multiprocessors.
Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014

2013
Predicting Architectural Vulnerability on Multithreaded Processors under Resource Contention and Sharing.
IEEE Trans. Dependable Secur. Comput., 2013

2012
Model guided adaptive design and analysis in computer experiment.
Stat. Anal. Data Min., 2012

Optimal microarchitectural design configuration selection for processor hard-error reliability.
Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012

2011
Performance and Power Analysis of ATI GPU: A Statistical Approach.
Proceedings of the Sixth International Conference on Networking, Architecture, and Storage, 2011

Universal rules guided design parameter selection for soft error resilient processors.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2011

Architecture comparisons between Nvidia and ATI GPUs: Computation parallelism and data communications.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

Two-level soft error vulnerability prediction on SMT/CMP architectures.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

Tree structured analysis on GPU power study.
Proceedings of the IEEE 29th International Conference on Computer Design, 2011

Statistical GPU power analysis using tree-based methods.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2010
Efficient Microarchitectural Vulnerabilities Prediction Using Boosted Regression Trees and Patient Rule Inductions.
IEEE Trans. Computers, 2010

A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections.
Int. J. Inf. Secur. Priv., 2010

2009
Accurate and efficient processor performance prediction via regression tree based modeling.
J. Syst. Archit., 2009

Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics.
Proceedings of the 15th International Conference on High-Performance Computer Architecture (HPCA-15 2009), 2009

A case study: Using architectural features to improve sophisticated denial-of-service attack detections.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009

2008
Classification of functional data: A segmentation approach.
Comput. Stat. Data Anal., 2008

Efficient mart-aided modeling for microarchitecture design space exploration and performance prediction.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008


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