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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Guang Cheng 0001
![[0000-0001-8642-4362]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8642-4362")
— Southeast University, Nanjing, China - Guang Cheng 0002 — University of Florida, Gainesville, FL, USA
- Guang Cheng 0003 — University of California Los Angeles, Department of Statistics, CA, USA (and 1 more)
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2020 – today
- 2023
[i20]Ximing Li, Chendi Wang, Guang Cheng:
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms. CoRR abs/2301.08844 (2023)- [i19]Huiming Zhang, Haoyu Wei, Guang Cheng:
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm. CoRR abs/2303.07287 (2023) - 2022
- [j15]Guang Cheng, Yige Shao:
Influencing Factors of Accounting Practitioners' Acceptance of Mobile Learning. Int. J. Emerg. Technol. Learn. 17(1) (2022) - [j14]Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng:
On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore. INFORMS J. Appl. Anal. 52(6): 524-538 (2022) - [c21]Junchen Li, Guang Cheng, Zekun Jing, Haiyang Wei:
Private Protocol Traffic Identification Based on Sequence Statistical Fingerprint. GLOBECOM 2022: 1356-1361 - [i18]Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng:
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. CoRR abs/2201.08507 (2022) - [i17]Xianli Zeng, Edgar Dobriban, Guang Cheng:
Bayes-Optimal Classifiers under Group Fairness. CoRR abs/2202.09724 (2022) - [i16]Zhiying Fang, Guang Cheng:
Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. CoRR abs/2202.12119 (2022) - [i15]Zhiying Fang, Yidong Ouyang, Ding-Xuan Zhou, Guang Cheng:
Attention Enables Zero Approximation Error. CoRR abs/2202.12166 (2022) - [i14]Jiexin Duan, Xingye Qiao, Guang Cheng:
Enhanced Nearest Neighbor Classification for Crowdsourcing. CoRR abs/2203.00781 (2022) - [i13]Xianli Zeng, Edgar Dobriban, Guang Cheng:
Fair Bayes-Optimal Classifiers Under Predictive Parity. CoRR abs/2205.07182 (2022) - [i12]Yidong Ouyang, Liyan Xie, Guang Cheng:
Improving Adversarial Robustness by Contrastive Guided Diffusion Process. CoRR abs/2210.09643 (2022) - 2021
- [j13]Baixin Sun, Guang Cheng, Quanmin Dai, Tianlin Chen, Weifeng Liu, Xiaorong Xu:
Human motion intention recognition based on EMG signal and angle signal. Cogn. Comput. Syst. 3(1): 37-47 (2021) - [c20]Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. AISTATS 2021: 829-837 - 2020
- [j12]Quanmin Dai, Yanxia Liu, Guang Cheng:
Frequency Domain Spectroscopy for Non-Uniformly Distributed Moisture Detection in Transformer Bushings. IEEE Access 8: 210429-210434 (2020) - [c19]Yun Yang, Zuofeng Shang, Guang Cheng:
Non-asymptotic Analysis for Nonparametric Testing. COLT 2020: 3709-3755 - [c18]Ching-Wei Cheng, Xingye Qiao, Guang Cheng:
Mutual Transfer Learning for Massive Data. ICML 2020: 1800-1809 - [c17]Yang Yu, Shih-Kang Chao, Guang Cheng:
Simultaneous Inference for Massive Data: Distributed Bootstrap. ICML 2020: 10892-10901 - [c16]Jiexin Duan, Xingye Qiao, Guang Cheng:
Statistical Guarantees of Distributed Nearest Neighbor Classification. NeurIPS 2020 - [i11]Tianyang Hu, Zuofeng Shang, Guang Cheng:
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR abs/2001.06892 (2020) - [i10]Yang Yu, Shih-Kang Chao, Guang Cheng:
Simultaneous Inference for Massive Data: Distributed Bootstrap. CoRR abs/2002.08443 (2020) - [i9]Ruiqi Liu, Zuofeng Shang, Guang Cheng:
On Deep Instrumental Variables Estimate. CoRR abs/2004.14954 (2020) - [i8]Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. CoRR abs/2007.02486 (2020) - [i7]Qingfang He, Guang Cheng, Zhiying Lin:
Union-net: A deep neural network model adapted to small data sets. CoRR abs/2012.13044 (2020)
2010 – 2019
- 2019
- [c15]Lei Wang, Xiaoqing Jin, Yingying Sun, Lihong Li, Qingguo Li, Yan Guo, Guang Cheng, Tao Liu:
Inertial Sensor-Based Gait Analysis for Evaluating the Effects of Acupuncture Treatment in Parkinson's Disease. AIM 2019: 323-328 - [c14]Ying Zhu, Zhuqing Yu, Guang Cheng:
High Dimensional Inference in Partially Linear Models. AISTATS 2019: 2760-2769 - [c13]Meimei Liu, Zuofeng Shang, Guang Cheng:
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. COLT 2019: 2175-2209 - [c12]Xingye Qiao, Jiexin Duan, Guang Cheng:
Rates of Convergence for Large-scale Nearest Neighbor Classification. NeurIPS 2019: 10768-10779 - [c11]Baixin Sun, Quanmin Dai, Guang Cheng, Tianlin Chen, Weifeng Liu, Xiaorong Xu:
Electronic Skin Design Methods Applied to Capsule Robot. ROBIO 2019: 252-256 - [i6]Yu-Yang Zhou, Guang Cheng:
An Efficient Network Intrusion Detection System Based on Feature Selection and Ensemble Classifier. CoRR abs/1904.01352 (2019) - [i5]Xingye Qiao, Jiexin Duan, Guang Cheng:
Rates of Convergence for Large-scale Nearest Neighbor Classification. CoRR abs/1909.01464 (2019) - [i4]Fang Chen, Hong Wan, Hua Cai, Guang Cheng:
Machine Learning in/for Blockchain: Future and Challenges. CoRR abs/1909.06189 (2019) - [i3]Shih-Kang Chao, Guang Cheng:
A generalization of regularized dual averaging and its dynamics. CoRR abs/1909.10072 (2019) - 2018
- [j11]Hui Hu, Bo Liu, Chao Hu, Ming Chen, Guang Cheng, Chang-you Xing:
Fudp: an SDN-based Mechanism for Controlling UDP flows. Int. J. Robotics Autom. 33(5) (2018) - [c10]Meimei Liu, Jean Honorio, Guang Cheng:
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. Allerton 2018: 1005-1011 - [c9]Ganggang Xu, Zuofeng Shang, Guang Cheng:
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. ICML 2018: 5479-5487 - [c8]Meimei Liu, Guang Cheng:
Early Stopping for Nonparametric Testing. NeurIPS 2018: 3989-3998 - [i2]Meimei Liu, Jean Honorio, Guang Cheng:
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. CoRR abs/1809.06019 (2018) - [i1]Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng:
Stein Neural Sampler. CoRR abs/1810.03545 (2018) - 2017
- [j10]Zuofeng Shang, Guang Cheng:
Computational Limits of A Distributed Algorithm for Smoothing Spline. J. Mach. Learn. Res. 18: 108:1-108:37 (2017) - [c7]Guang Cheng, Yang Yan:
Evaluation and Design of Non-cryptographic Hash Functions for Network Data Stream Algorithms. BigCom 2017: 239-244 - 2016
- [j9]Quan Miao, Chenbo Shi, Long Meng, Guang Cheng:
On-Line Rigid Object Tracking via Discriminative Feature Classification. IEICE Trans. Inf. Syst. 99-D(11): 2824-2827 (2016) - [c6]Wen-Yu Fu, Guang Cheng, Yu-Feng Ma, Ai-Ping Yang:
Experimental Research of Range of Motion About Wrist Joint. HCI (15) 2016: 3-12 - [c5]Ai-Ping Yang, Guang Cheng, Wen-Yu Fu, Huimin Hu, Xin Zhang, Chau-Kuang Chen:
Experimental Study on Discrimination Thresholds for Haptic Perception of Size in Manual Operation. HCI (15) 2016: 66-72 - [c4]Ai-Ping Yang, Wen-Yu Fu, Guang Cheng, Xin Zhang, Hui-min Hu, Chau-Kuang Chen:
Experimental Study on Comfort Ranges of Manual Operation in Standing Position. HCI (26) 2016: 547-552 - [c3]Quan Miao, Guang Cheng:
Scene Adaptive Object Tracking Combining Local Feature and Color Feature. ICIMCS 2016: 207-210 - 2015
- [j8]Debdeep Pati, Anirban Bhattacharya, Guang Cheng:
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. 16: 2837-2851 (2015) - [c2]Aiping Yang, Guang Cheng, Wen-Yu Fu, Huimin Hu, Xin Zhang, Chau-Kuang Chen:
Experimental Study on Grip Ergonomics of Manual Handling. HCI (17) 2015: 92-99 - 2014
- [j7]Guang Cheng, Lan Zhou, Xiaohong Chen, Jianhua Z. Huang:
Efficient estimation of semiparametric copula models for bivariate survival data. J. Multivar. Anal. 123: 330-344 (2014) - 2013
- [j6]Zhongyuan Lai, Wenyu Liu, Fan Zhang, Guang Cheng:
Perceptual Distortion Measure for Polygon-Based Shape Coding. IEICE Trans. Inf. Syst. 96-D(3): 750-753 (2013) - [j5]Guang Cheng, Zhuqing Yu, Jianhua Z. Huang:
The cluster bootstrap consistency in generalized estimating equations. J. Multivar. Anal. 115: 33-47 (2013) - 2012
- [j4]Pang Du, Guang Cheng, Hua Liang:
Semiparametric regression models with additive nonparametric components and high dimensional parametric components. Comput. Stat. Data Anal. 56(6): 2006-2017 (2012) - [j3]Guang Cheng, Yichuan Zhao, Bo Li:
Empirical likelihood inferences for the semiparametric additive isotonic regression. J. Multivar. Anal. 112: 172-182 (2012) - 2011
- [c1]Guang Cheng:
Real-time inferring network traffic patterns. CCNC 2011: 457-461
2000 – 2009
- 2009
- [j2]Guang Cheng, Michael R. Kosorok:
The penalized profile sampler. J. Multivar. Anal. 100(3): 345-362 (2009) - 2008
- [j1]Chi Tang, Fusheng You, Guang Cheng, Dakuan Gao, Feng Fu, Guosheng Yang, Xiuzhen Dong:
Correlation Between Structure and Resistivity Variations of the Live Human Skull. IEEE Trans. Biomed. Eng. 55(9): 2286-2292 (2008)
Coauthor Index
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last updated on 2023-03-25 01:46 CET by the dblp team
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