According to our database1, Jintao Zhang authored at least 36 papers between 2008 and 2019.
Legend:Book In proceedings Article PhD thesis Other
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
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
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
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
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
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
Multi-task and Multi-view Learning for Predicting Adverse Drug Reactions.
PhD thesis, 2012
Study on Orthogonal and Symmetric Five-fingered Pneumatic Robot Hand.
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
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
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
Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.
BMC Bioinformatics, 2009
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