Kai Zhong

According to our database1, Kai Zhong authored at least 51 papers between 2007 and 2020.

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Bibliography

2020
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference.
IEEE Trans. Control. Syst. Technol., 2020

An efficient parallel direction-based clustering algorithm.
J. Parallel Distributed Comput., 2020

Data-driven based fault prognosis for industrial systems: a concise overview.
IEEE CAA J. Autom. Sinica, 2020

Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective.
Eng. Appl. Artif. Intell., 2020

PECOS: Prediction for Enormous and Correlated Output Spaces.
CoRR, 2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.
CoRR, 2020

Design of Navigation System for Liver Surgery Guided by Augmented Reality.
IEEE Access, 2020

Taming Pretrained Transformers for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview.
IEEE Trans. Cybern., 2019

Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors.
Sensors, 2019

High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry.
Sensors, 2019

A Stereo-Vision System for Measuring the Ram Speed of Steam Hammers in an Environment with a Large Field of View and Strong Vibrations.
Sensors, 2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR, 2019

Provable Non-linear Inductive Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
In Situ 3D Monitoring of Geometric Signatures in the Powder-Bed-Fusion Additive Manufacturing Process via Vision Sensing Methods.
Sensors, 2018

A Robot-Driven 3D Shape Measurement System for Automatic Quality Inspection of Thermal Objects on a Forging Production Line.
Sensors, 2018

Fast HEVC Inter-Prediction Algorithm Based on Matching Block Features.
Int. J. Mob. Comput. Multim. Commun., 2018

Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.
CoRR, 2018

Deep learning for steganalysis based on filter diversity selection.
Sci. China Inf. Sci., 2018

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Power Grid Reduction by Sparse Convex Optimization.
Proceedings of the 2018 International Symposium on Physical Design, 2018

Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
New algebraic conditions for ISS of memristive neural networks with variable delays.
Neural Comput. Appl., 2017

Investigation on the Performances of Vuilleumier Cycle Heat Pump Adopting Mixture Refrigerants.
Entropy, 2017

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.
CoRR, 2017

Fast second-order cone programming for safe mission planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Recovery Guarantees for One-hidden-layer Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fast Classification with Binary Prototypes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2016

Further results for global exponential stability of stochastic memristor-based neural networks with time-varying delays.
Int. J. Syst. Sci., 2016

Mixed Linear Regression with Multiple Components.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coordinate-wise Power Method.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Practical public PUF enabled by solving max-flow problem on chip.
Proceedings of the 53rd Annual Design Automation Conference, 2016

2015
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.
CoRR, 2015

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances.
Neural Networks, 2014

Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching.
Neural Comput. Appl., 2014

Robustness analysis for parameter matrices of global exponential stable stochastic time varying delay systems.
Commun. Nonlinear Sci. Numer. Simul., 2014

Robustness analysis for parameter matrices of global exponential stability time varying delay systems.
Appl. Math. Comput., 2014

Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Real-time 3D shape measurement system with full temporal resolution and spatial resolution.
Proceedings of the Three-Dimensional Image Processing, 2014

2011
Phase contrast imaging in neonates.
NeuroImage, 2011

2008
The molecular basis for gray and white matter contrast in phase imaging.
NeuroImage, 2008

2007
MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance.
NeuroImage, 2007


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