Guang Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 118

Top Venues

Publications

Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. CoRR (2024)
Keya Xu, Guang Cheng
F3l: an automated and secure function-level low-overhead labeled encrypted traffic dataset construction method for IM in Android. Cybersecur. 7 (1) (2024)
Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. CoRR (2024)
Namjoon Suh, Guang Cheng
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models. CoRR (2024)
Yali Yuan, Yichao Wang, Guang Cheng
ProfistMAC: A Protocol Finite State Machine Classifier via Graph Representation. ACISP (2) (2024)
Haiyang Wei, Zhengjie Du, Haohui Huang, Yue Liu, Guang Cheng, Linzhang Wang, Bing Mao
Inferring State Machine from the Protocol Implementation via Large Langeuage Model. CoRR (2024)
Yu Xia, Chi-Hua Wang, Joshua Mabry, Guang Cheng
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data. CoRR (2024)
Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
Transfer Learning for Diffusion Models. CoRR (2024)
Junchen Li, Guang Cheng, Zongyao Chen, Peng Zhao
Protocol clustering of unknown traffic based on embedding of protocol specification. Comput. Secur. 136 (2024)
Zhaiming Shen, Menglun Wang, Guang Cheng, Ming-Jun Lai, Lin Mu, Ruihao Huang, Qi Liu, Hao Zhu
Tree-based Ensemble Learning for Out-of-distribution Detection. CoRR (2024)
Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng
CTSyn: A Foundational Model for Cross Tabular Data Generation. CoRR (2024)
Xianli Zeng, Guang Cheng, Edgar Dobriban
Minimax Optimal Fair Classification with Bounded Demographic Disparity. CoRR (2024)
Xianli Zeng, Guang Cheng, Edgar Dobriban
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing. CoRR (2024)
Hengzhi He, Peiyu Yu, Junpeng Ren, Ying Nian Wu, Guang Cheng
Watermarking Generative Tabular Data. CoRR (2024)
Yuantong Li, Guang Cheng, Xiaowu Dai
Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility. CoRR (2024)
Xiaoyan Hu, Ning Li, Guang Cheng, Ruidong Li, Hua Wu
A Novel Darknet Traffic Classification Method Based on Knowledge Graph with Dynamic Embedding Learning. ICC (2023)
Hongyu Zhu, Sichu Liang, Wentao Hu, Fang-Qi Li, Yali Yuan, Shi-Lin Wang, Guang Cheng
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule. CoRR (2023)
Guang Cheng, Yan Huang, Bing Yu
Recurrent Transformer for 3D Human Pose Estimation. ICBASE (2023)
Yuyang Zhou, Guang Cheng, Zongyao Chen, Shui Yu
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks. CoRR (2023)
Li Deng, Xianglin Wei, Yan Gao, Guang Cheng, Liang Liu, Ming Chen
NFV-empowered digital twin cyber platform: Architecture, prototype, and a use case. Comput. Commun. 210 (2023)
Shirong Xu, Will Wei Sun, Guang Cheng
Ranking Differential Privacy. CoRR (2023)
Zhiying Fang, Guang Cheng
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. Trans. Mach. Learn. Res. 2023 (2023)
Guang Cheng, Xiaoming Wang, Dapeng Li, Rui Jiang, Youyun Xu
Resource Allocation for Multi-cell Semantic Communication based on Deep Reinforcement Learning. ICCT (2023)
Shiyue Liu, Hua Wu, Guang Cheng, Xiaoyan Hu
Real-Time Phishing Detection Based on URL Multi-Perspective Features: Aiming at the Real Web Environment. ICC (2023)
Jingyi Zhou, Qingfang He, Guang Cheng, Zhiying Lin
Union-net: lightweight deep neural network model suitable for small data sets. J. Supercomput. 79 (7) (2023)
Yidong Ouyang, Liyan Xie, Guang Cheng
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process. ICML (2023)
Huiming Zhang, Haoyu Wei, Guang Cheng
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm. CoRR (2023)
Zhaoxu Ge, Hua Wu, Guang Cheng, Xiaoyan Hu
NFlowGAN: High-Utility Privacy-Preserving Network Flow Synthesis Based on GAN. ICC (2023)
Ximing Li, Chendi Wang, Guang Cheng
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms. ICLR (2023)
Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng
MissDiff: Training Diffusion Models on Tabular Data with Missing Values. CoRR (2023)
Ximing Li, Chendi Wang, Guang Cheng
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms. CoRR (2023)
Namjoon Suh, Xiaofeng Lin, Din-Yin Hsieh, Merhdad Honarkhah, Guang Cheng
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. CoRR (2023)
Guang Cheng, Yige Shao
Influencing Factors of Accounting Practitioners' Acceptance of Mobile Learning. iJET 17 (1) (2022)
Shuang Wu, Chi-Hua Wang, Yuantong Li, Guang Cheng
Residual bootstrap exploration for stochastic linear bandit. UAI (2022)
Xianli Zeng, Edgar Dobriban, Guang Cheng
Fair Bayes-Optimal Classifiers Under Predictive Parity. CoRR (2022)
Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. CoRR (2022)
Zhiying Fang, Guang Cheng
Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. CoRR (2022)
Jiaoyang Huang, Daniel Zhengyu Huang, Qing Yang, Guang Cheng
Power Iteration for Tensor PCA. J. Mach. Learn. Res. 23 (2022)
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) (2022)
Chi-Hua Wang, Wenjie Li, Guang Cheng, Guang Lin
Federated Online Sparse Decision Making. CoRR (2022)
Zhiying Fang, Yidong Ouyang, Ding-Xuan Zhou, Guang Cheng
Attention Enables Zero Approximation Error. CoRR (2022)
Xianli Zeng, Edgar Dobriban, Guang Cheng
Fair Bayes-Optimal Classifiers Under Predictive Parity. NeurIPS (2022)
Junchen Li, Guang Cheng, Zekun Jing, Haiyang Wei
Private Protocol Traffic Identification Based on Sequence Statistical Fingerprint. GLOBECOM (2022)
Shuang Wu, Chi-Hua Wang, Yuantong Li, Guang Cheng
Residual Bootstrap Exploration for Stochastic Linear Bandit. CoRR (2022)
Xianli Zeng, Edgar Dobriban, Guang Cheng
Bayes-Optimal Classifiers under Group Fairness. CoRR (2022)
Yuantong Li, Chi-Hua Wang, Guang Cheng, Will Wei Sun
Rate-Optimal Contextual Online Matching Bandit. CoRR (2022)
Yue Xing, Qifan Song, Guang Cheng
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. CoRR (2022)
Yue Xing, Qifan Song, Guang Cheng
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR (2022)
Jiexin Duan, Xingye Qiao, Guang Cheng
Enhanced Nearest Neighbor Classification for Crowdsourcing. CoRR (2022)
Yidong Ouyang, Liyan Xie, Guang Cheng
Improving Adversarial Robustness by Contrastive Guided Diffusion Process. CoRR (2022)
Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. CoRR (2021)
Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. AISTATS (2021)
Yue Xing, Qifan Song, Guang Cheng
On the Generalization Properties of Adversarial Training. AISTATS (2021)
Hua Wu, Tingzheng Chen, Ziling Shao, Guang Cheng, Xiaoyan Hu
Accurate and Fast Detection of DDoS Attacks in High-Speed Network with Asymmetric Routing. GLOBECOM (2021)
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) (2021)
Yuantong Li, Chi-Hua Wang, Guang Cheng
Online Forgetting Process for Linear Regression Models. AISTATS (2021)
Yue Xing, Ruizhi Zhang, Guang Cheng
Adversarially Robust Estimate and Risk Analysis in Linear Regression. AISTATS (2021)
Yue Xing, Qifan Song, Guang Cheng
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. AISTATS (2021)
Wenjie Li, Chi-Hua Wang, Guang Cheng
Optimum-statistical collaboration towards efficient black-box optimization. CoRR (2021)
Shanqing Jiang, Lin Yang, Guang Cheng, Xianming Gao, Tao Feng, Yuyang Zhou
A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network. CoRR (2021)
Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. CoRR (2020)
Jincheng Bai, Qifan Song, Guang Cheng
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee. CoRR (2020)
Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng
Directional Pruning of Deep Neural Networks. NeurIPS (2020)
Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng
Variance Reduction on Adaptive Stochastic Mirror Descent. CoRR (2020)
Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng
Residual Bootstrap Exploration for Bandit Algorithms. CoRR (2020)
Yun Yang, Zuofeng Shang, Guang Cheng
Non-asymptotic Analysis for Nonparametric Testing. COLT (2020)
Hua Wu, Qiuyan Wu, Guang Cheng, Shuyi Guo
Instagram User Behavior Identification Based on Multidimensional Features. INFOCOM Workshops (2020)
Yang Yu, Shih-Kang Chao, Guang Cheng
Simultaneous Inference for Massive Data: Distributed Bootstrap. ICML (2020)
Botao Hao, Anru R. Zhang, Guang Cheng
Sparse and Low-rank Tensor Estimation via Cubic Sketchings. AISTATS (2020)
Chi-Hua Wang, Guang Cheng
Online Batch Decision-Making with High-Dimensional Covariates. CoRR (2020)
Yue Xing, Qifan Song, Guang Cheng
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. CoRR (2020)
Yuantong Li, Chi-Hua Wang, Guang Cheng
Online Forgetting Process for Linear Regression Models. CoRR (2020)
Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Chi-Hua Wang, Guang Cheng
Online Batch Decision-Making with High-Dimensional Covariates. AISTATS (2020)
Yue Xing, Qifan Song, Guang Cheng
On the Generalization Properties of Adversarial Training. CoRR (2020)
Botao Hao, Anru Zhang, Guang Cheng
Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Trans. Inf. Theory 66 (9) (2020)
Jincheng Bai, Qifan Song, Guang Cheng
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors. CoRR (2020)
Jincheng Bai, Qifan Song, Guang Cheng
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee. NeurIPS (2020)
Tianyang Hu, Zuofeng Shang, Guang Cheng
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR (2020)
Jiexin Duan, Xingye Qiao, Guang Cheng
Statistical Guarantees of Distributed Nearest Neighbor Classification. NeurIPS (2020)
Ching-Wei Cheng, Xingye Qiao, Guang Cheng
Mutual Transfer Learning for Massive Data. ICML (2020)
Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng
Directional Pruning of Deep Neural Networks. CoRR (2020)
Ruiqi Liu, Zuofeng Shang, Guang Cheng
On Deep Instrumental Variables Estimate. CoRR (2020)
Yue Xing, Ruizhi Zhang, Guang Cheng
Adversarially Robust Estimate and Risk Analysis in Linear Regression. CoRR (2020)
Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng
Online Regularization for High-Dimensional Dynamic Pricing Algorithms. CoRR (2020)
Qingfang He, Guang Cheng, Zhiying Lin
Union-net: A deep neural network model adapted to small data sets. CoRR (2020)
Quanmin Dai, Yanxia Liu, Guang Cheng
Frequency Domain Spectroscopy for Non-Uniformly Distributed Moisture Detection in Transformer Bushings. IEEE Access 8 (2020)
Yang Yu, Shih-Kang Chao, Guang Cheng
Simultaneous Inference for Massive Data: Distributed Bootstrap. CoRR (2020)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. CoRR (2019)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. NeurIPS (2019)
Baixin Sun, Quanmin Dai, Guang Cheng, Tianlin Chen, Weifeng Liu, Xiaorong Xu
Electronic Skin Design Methods Applied to Capsule Robot. ROBIO (2019)
Meimei Liu, Zuofeng Shang, Guang Cheng
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. COLT (2019)
Zuofeng Shang, Botao Hao, Guang Cheng
Nonparametric Bayesian Aggregation for Massive Data. J. Mach. Learn. Res. 20 (2019)
Fang Chen, Hong Wan, Hua Cai, Guang Cheng
Machine Learning in/for Blockchain: Future and Challenges. CoRR (2019)
Yuyang Zhou, Guang Cheng, Shanqing Jiang, Ying Hu, Yuyu Zhao, Zihan Chen
A cost-effective shuffling method against DDoS attacks using Moving Target Defense. CoRR (2019)
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)
Ying Zhu, Zhuqing Yu, Guang Cheng
High Dimensional Inference in Partially Linear Models. AISTATS (2019)
Xingye Qiao, Jiexin Duan, Guang Cheng
Rates of Convergence for Large-scale Nearest Neighbor Classification. NeurIPS (2019)
Yu-Yang Zhou, Guang Cheng
An Efficient Network Intrusion Detection System Based on Feature Selection and Ensemble Classifier. CoRR (2019)
Yue Xing, Qifan Song, Guang Cheng
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

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Guang Cheng