Guang Cheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
F3l: an automated and secure function-level low-overhead labeled encrypted traffic dataset construction method for IM in Android.
Cybersecur., December, 2024

Protocol clustering of unknown traffic based on embedding of protocol specification.
Comput. Secur., January, 2024

Minimax Optimal Fair Classification with Bounded Demographic Disparity.
CoRR, 2024

FairRR: Pre-Processing for Group Fairness through Randomized Response.
CoRR, 2024

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing.
CoRR, 2024

2023
NFV-empowered digital twin cyber platform: Architecture, prototype, and a use case.
Comput. Commun., October, 2023

Union-net: lightweight deep neural network model suitable for small data sets.
J. Supercomput., May, 2023

Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions.
Trans. Mach. Learn. Res., 2023

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks.
CoRR, 2023

MissDiff: Training Diffusion Models on Tabular Data with Missing Values.
CoRR, 2023

Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm.
CoRR, 2023

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process.
Proceedings of the International Conference on Machine Learning, 2023

Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Resource Allocation for Multi-cell Semantic Communication based on Deep Reinforcement Learning.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Recurrent Transformer for 3D Human Pose Estimation.
Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

2022
Power Iteration for Tensor PCA.
J. Mach. Learn. Res., 2022

On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore.
INFORMS J. Appl. Anal., 2022

Influencing Factors of Accounting Practitioners' Acceptance of Mobile Learning.
Int. J. Emerg. Technol. Learn., 2022

Improving Adversarial Robustness by Contrastive Guided Diffusion Process.
CoRR, 2022

Enhanced Nearest Neighbor Classification for Crowdsourcing.
CoRR, 2022

Attention Enables Zero Approximation Error.
CoRR, 2022

Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions.
CoRR, 2022

Bayes-Optimal Classifiers under Group Fairness.
CoRR, 2022

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees.
CoRR, 2022

Fair Bayes-Optimal Classifiers Under Predictive Parity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Human motion intention recognition based on EMG signal and angle signal.
Cogn. Comput. Syst., 2021

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Union-net: A deep neural network model adapted to small data sets.
CoRR, 2020

On Deep Instrumental Variables Estimate.
CoRR, 2020

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

Frequency Domain Spectroscopy for Non-Uniformly Distributed Moisture Detection in Transformer Bushings.
IEEE Access, 2020

Statistical Guarantees of Distributed Nearest Neighbor Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mutual Transfer Learning for Massive Data.
Proceedings of the 37th International Conference on Machine Learning, 2020

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

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

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

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

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

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

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

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

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. Eng., 2008


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