Guang Cheng

According to our database1, Guang Cheng authored at least 57 papers between 2008 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network.
CoRR, 2020

Online Regularization for High-Dimensional Dynamic Pricing Algorithms.
CoRR, 2020

Directional Pruning of Deep Neural Networks.
CoRR, 2020

On Deep Instrumental Variables Estimate.
CoRR, 2020

Simultaneous Inference for Massive Data: Distributed Bootstrap.
CoRR, 2020

Residual Bootstrap Exploration for Bandit Algorithms.
CoRR, 2020

Predictive Power of Nearest Neighbors Algorithm under Random Perturbation.
CoRR, 2020

Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting.
CoRR, 2020

Building an efficient intrusion detection system based on feature selection and ensemble classifier.
Comput. Networks, 2020

Effectiveness Evaluation Method for Cyber Deception Based on Dynamic Bayesian Attack Graph.
Proceedings of the CSSE 2020: 3rd International Conference on Computer Science and Software Engineering, 2020

Non-asymptotic Analysis for Nonparametric Testing.
Proceedings of the Conference on Learning Theory, 2020

Online Batch Decision-Making with High-Dimensional Covariates.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Sparse and Low-rank Tensor Estimation via Cubic Sketchings.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Estimating Cardinality of Arbitrary Expression of Multiple Tag Sets in a Distributed RFID System.
IEEE/ACM Trans. Netw., 2019

A Protocol for Simultaneously Estimating Moments and Popular Groups in a Multigroup RFID System.
IEEE/ACM Trans. Netw., 2019

Nonparametric Bayesian Aggregation for Massive Data.
J. Mach. Learn. Res., 2019

Benefit of Interpolation in Nearest Neighbor Algorithms.
CoRR, 2019

A generalization of regularized dual averaging and its dynamics.
CoRR, 2019

Machine Learning in/for Blockchain: Future and Challenges.
CoRR, 2019

An Efficient Network Intrusion Detection System Based on Feature Selection and Ensemble Classifier.
CoRR, 2019

Electronic Skin Design Methods Applied to Capsule Robot.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Rates of Convergence for Large-scale Nearest Neighbor Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bootstrapping Upper Confidence Bound.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sharp Theoretical Analysis for Nonparametric Testing under Random Projection.
Proceedings of the Conference on Learning Theory, 2019

A Cost-effective Shuffling Method against DDoS Attacks using Moving Target Defense.
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

High Dimensional Inference in Partially Linear Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Inertial Sensor-Based Gait Analysis for Evaluating the Effects of Acupuncture Treatment in Parkinson's Disease.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018
Fudp: an SDN-based Mechanism for Controlling UDP flows.
Int. J. Robotics Autom., 2018

Stein Neural Sampler.
CoRR, 2018

Statistical Optimality of Interpolated Nearest Neighbor Algorithms.
CoRR, 2018

Early Stopping for Nonparametric Testing.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Encrypted Traffic Identification Based on N-gram Entropy and Cumulative Sum Test.
Proceedings of the 13th International Conference on Future Internet Technologies, 2018

Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Computational Limits of A Distributed Algorithm for Smoothing Spline.
J. Mach. Learn. Res., 2017

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models.
J. Mach. Learn. Res., 2017

Adaptive Sampling for OpenFlow Network Measurement Methods.
Proceedings of the 12th International Conference on Future Internet Technologies, 2017

Evaluation and Design of Non-cryptographic Hash Functions for Network Data Stream Algorithms.
Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

2016
On-Line Rigid Object Tracking via Discriminative Feature Classification.
IEICE Trans. Inf. Syst., 2016

Analysing the Semantic Change Based on Word Embedding.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Scene Adaptive Object Tracking Combining Local Feature and Color Feature.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Experimental Study on Comfort Ranges of Manual Operation in Standing Position.
Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016

Experimental Study on Discrimination Thresholds for Haptic Perception of Size in Manual Operation.
Proceedings of the Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, 2016

Experimental Research of Range of Motion About Wrist Joint.
Proceedings of the Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, 2016

2015
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior.
J. Mach. Learn. Res., 2015

Non-convex Statistical Optimization for Sparse Tensor Graphical Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Experimental Study on Grip Ergonomics of Manual Handling.
Proceedings of the Digital Human Modeling - Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health, 2015

2014
Efficient estimation of semiparametric copula models for bivariate survival data.
J. Multivar. Anal., 2014

Nearest Neighbor Classifier with Optimal Stability.
CoRR, 2014

2013
The cluster bootstrap consistency in generalized estimating equations.
J. Multivar. Anal., 2013

Perceptual Distortion Measure for Polygon-Based Shape Coding.
IEICE Trans. Inf. Syst., 2013

2012
Empirical likelihood inferences for the semiparametric additive isotonic regression.
J. Multivar. Anal., 2012

Semiparametric regression models with additive nonparametric components and high dimensional parametric components.
Comput. Stat. Data Anal., 2012

2011
Real-time inferring network traffic patterns.
Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011

2009
The penalized profile sampler.
J. Multivar. Anal., 2009

2008
Correlation Between Structure and Resistivity Variations of the Live Human Skull.
IEEE Trans. Biomed. Engineering, 2008


  Loading...