Jintao Zhang

According to our database1, Jintao Zhang authored at least 36 papers between 2008 and 2019.

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Bibliography

2019
Scaling Up In-Memory-Computing Classifiers via Boosted Feature Subsets in Banked Architectures.
IEEE Trans. on Circuits and Systems, 2019

A Novel FPGA-Based Architecture for Fast Automatic Target Detection in Hyperspectral Images.
Remote Sensing, 2019

Peer contagion processes for problematic internet use among Chinese college students: A process model involving peer pressure and maladaptive cognition.
Computers in Human Behavior, 2019

DPW-LRU: An Efficient Buffer Management Policy Based on Dynamic Page Weight for Flash Memory in Cyber-Physical Systems.
IEEE Access, 2019

2018
A Deep Pipelined Implementation of Hyperspectral Target Detection Algorithm on FPGA Using HLS.
Remote Sensing, 2018

Personality and Problematic Internet Use Among Chinese College Students: The Mediating Role of Maladaptive Cognitions Over Internet Use.
Cyberpsy., Behavior, and Soc. Networking, 2018

An Improved Collaborative Filtering Algorithm and Application in Scenic Spot Recommendation.
Proceedings of the Data Science, 2018

2017
In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array.
J. Solid-State Circuits, 2017

Symmetric Homotopy Method for Discretized Elliptic Equations with Cubic and Quintic Nonlinearities.
J. Sci. Comput., 2017

2016
Singularity Analysis and Avoidance for Robot Manipulators With Nonspherical Wrists.
IEEE Trans. Industrial Electronics, 2016

Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips&Tricks].
IEEE Signal Process. Mag., 2016

Polynomial Homotopy Method for the Sparse Interpolation Problem Part I: Equally Spaced Sampling.
SIAM J. Numerical Analysis, 2016

A machine-learning classifier implemented in a standard 6T SRAM array.
Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016

A Flexible Capacitive Tactile Sensor for Manipulator.
Proceedings of the Cognitive Systems and Signal Processing, 2016

2015
Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC.
IEEE Trans. Biomed. Circuits and Systems, 2015

The RCH method for computing minimal polynomials of polynomial matrices.
J. Systems Science & Complexity, 2015

18.4 A matrix-multiplying ADC implementing a machine-learning classifier directly with data conversion.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

Reducing quantization error in low-energy FIR filter accelerators.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A seizure-detection IC employing machine learning to overcome data-conversion and analog-processing non-idealities.
Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

A look at signal analysis in resource-constrained medical-sensor applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2013
Eigenfunction Expansion Method for Multiple Solutions of Semilinear Elliptic Equations with Polynomial Nonlinearity.
SIAM J. Numerical Analysis, 2013

Identifying the singularity conditions of Canadarm2 based on elementary Jacobian transformation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A new on-line chemical biology data visualization system.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Multi-task and Multi-view Learning for Predicting Adverse Drug Reactions.
PhD thesis, 2012

Study on Orthogonal and Symmetric Five-fingered Pneumatic Robot Hand.
JCP, 2012

Inductive multi-task learning with multiple view data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Drug-induced QT prolongation prediction using co-regularized multi-view learning.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Multi-target protein-chemical interaction prediction using task-regularized and boosted multi-task learning.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
An efficient graph-mining method for complicated and noisy data with real-world applications.
Knowl. Inf. Syst., 2011

Characterizing the Diversity and Biological Relevance of the MLPCN Assay Manifold and Screening Set.
Journal of Chemical Information and Modeling, 2011

The BioAssay network and its implications to future therapeutic discovery.
BMC Bioinformatics, 2011

2010
Novel biological network features discovery for in silico identification of drug targets.
Proceedings of the ACM International Health Informatics Symposium, 2010

Exploratory analysis of the BioAssay Network with implications to therapeutic discovery.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.
BMC Bioinformatics, 2009

2008
Surface Conduction Electron Emission from ZnO Film.
IEICE Transactions, 2008

A Genetic Algorithm for Finding Minimal Multi-homogeneous Bézout Number.
Proceedings of the 7th IEEE/ACIS International Conference on Computer and Information Science, 2008


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