Dong Xia

According to our database, Dong Xia authored at least 64 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ISTAP-Based Multichannel Radar DOA Estimation Under Rapid Airspace Rotation.

Lichao Zhou, Yifeng Wu, Lei Zhang, Dong Xia

IEEE Geosci. Remote. Sens. Lett., 2024

A Single Snapshot DOA Estimation Method Based on ADMM-Net.

Jiachen Wang, Yifeng Wu, Xiaobo Deng, Lei Zhang, Dong Xia, Qinquan Zhou

IEEE Geosci. Remote. Sens. Lett., 2024

Local Prediction-Powered Inference.

Yanwu Gu, Dong Xia

CoRR, 2024

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges.

Arnab Auddy, Dong Xia, Ming Yuan

CoRR, 2024

Online Policy Learning and Inference by Matrix Completion.

Congyuan Duan, Jingyang Li, Dong Xia

CoRR, 2024

Online Quantile Regression.

Yinan Shen, Dong Xia, Wen-Xin Zhou

CoRR, 2024

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices.

T. Tony Cai, Dong Xia, Mengyue Zha

CoRR, 2024

High-dimensional Linear Bandits with Knapsacks.

Wanteng Ma, Dong Xia, Jiashuo Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Price strategy of community fresh food e-commerce considering the heterogeneous needs of consumers and fresh quality transparency.

Bing Jiang, Xiaoling Liu, Chong Wang, Hongbing Luo, Jiankang Liu, Cheng Liu, Zhenyi Ji, Dong Xia

RAIRO Oper. Res., November, 2023

Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition.

Zhongyuan Lyu, Dong Xia, Yuan Zhang

J. Comput. Graph. Stat., 2023

Multiple Testing of Linear Forms for Noisy Matrix Completion.

Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan

CoRR, 2023

Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks.

Zhongyuan Lyu, Ting Li, Dong Xia

CoRR, 2023

Quantile and pseudo-Huber Tensor Decomposition.

Yinan Shen, Dong Xia

CoRR, 2023

Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret.

Jian-Feng Cai, Jingyang Li, Dong Xia

CoRR, 2023

Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression.

Yinan Shen, Jingyang Li, Jian-Feng Cai, Dong Xia

CoRR, 2023

rMultiNet: An R Package For Multilayer Networks Analysis.

Ting Li, Zhongyuan Lyu, Chenyu Ren, Dong Xia

CoRR, 2023

Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data.

Nandini Amit Gadhia, Michalis Smyrnakis, Po-Yu Liu, Damer Blake, Melanie Hay, Anh Nguyen, Dong Xia, Ritesh Krishna, Dominic Richards

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Link-Based Traffic Estimation and Simulation for Road Networks Using Electronic Registration Identification Data.

Dong Xia, Linjiang Zheng, Yi Tang, Xiaolin Cai, Li Chen, Weining Liu, Dihua Sun

IEEE Trans. Veh. Technol., 2022

Recognizing and Analyzing Private Car Commuters Using Big Data of Electronic Registration Identification of Vehicles.

Li Chen, Linjiang Zheng, Dong Xia, Xiaolin Cai, Dihua Sun, Weining Liu

IEEE Trans. Intell. Transp. Syst., 2022

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization.

Jian-Feng Cai, Jingyang Li, Dong Xia

J. Mach. Learn. Res., 2022

Urban Customized Bus Design for Private Car Commuters.

Dong Xia, Linjiang Zheng, Xiaolin Cai, Weining Liu, Dihua Sun

IEEE Internet Things J., 2022

STL-Detector: Detecting City-Wide Ride-Sharing Cars via Self-Taught Learning.

Li Chen, Linjiang Zheng, Dong Xia, Dihua Sun, Weining Liu

IEEE Internet Things J., 2022

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model.

Tianxi Cai, Dong Xia, Luwan Zhang, Doudou Zhou

CoRR, 2022

Optimal Regularized Online Convex Allocation by Adaptive Re-Solving.

Wanteng Ma, Ying Cao, Danny H. K. Tsang, Dong Xia

CoRR, 2022

Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model.

Zhongyuan Lyu, Dong Xia

CoRR, 2022

Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation.

Yinan Shen, Jingyang Li, Jian-Feng Cai, Dong Xia

CoRR, 2022

Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures.

Zhongyuan Lyu, Dong Xia

CoRR, 2022

A Particle Swarm-Based Commuter Matching Approach for Stable.

Chenglin Ye, Linjiang Zheng, Dong Xia

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Design of Comprehensive Energy System Considering Anomaly Detection of Multi-Energy Data.

Rongqiang Feng, Hongzhi Li, Dong Xia, Chenxi Huang, Wei Tang, Lei Zhao, Kun Zhang, Xiaoming Huang, Weiting Zhu

Proceedings of the 4th International Conference on Artificial Intelligence and Advanced Manufacturing, 2022

2021

Effective Tensor Sketching via Sparsification.

Dong Xia, Ming Yuan

IEEE Trans. Inf. Theory, 2021

DR-TSP: A Data Repairing Framework for Time Synchronization Problems in ERI Data.

Dong Xia, Linjiang Zheng, Li Chen, Weining Liu, Dihua Sun

IEEE Internet Things J., 2021

2020

Understanding Citywide Resident Mobility Using Big Data of Electronic Registration Identification of Vehicles.

Linjiang Zheng, Dong Xia, Li Chen, Dihua Sun

IEEE Trans. Intell. Transp. Syst., 2020

Short-term traffic flow prediction: From the perspective of traffic flow decomposition.

Li Chen, Linjiang Zheng, Jie Yang, Dong Xia, Weining Liu

Neurocomputing, 2020

Inference for Low-rank Tensors - No Need to Debias.

Dong Xia, Anru R. Zhang, Yuchen Zhou

CoRR, 2020

Edgeworth expansions for network moments.

Yuan Zhang, Dong Xia

CoRR, 2020

Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition.

Bing-Yi Jing, Ting Li, Zhongyuan Lyu, Dong Xia

CoRR, 2020

2019

Confidence Region of Singular Subspaces for Low-Rank Matrix Regression.

Dong Xia

IEEE Trans. Inf. Theory, 2019

The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising.

Dong Xia, Fan Zhou

J. Mach. Learn. Res., 2019

On Polynomial Time Methods for Exact Low-Rank Tensor Completion.

Dong Xia, Ming Yuan

Found. Comput. Math., 2019

Statistical Inferences of Linear Forms for Noisy Matrix Completion.

Dong Xia, Ming Yuan

CoRR, 2019

Data-dependent Confidence Regions of Singular Subspaces.

Dong Xia

CoRR, 2019

Short-Term Travel Time Prediction on Urban Road Networks using Massive ERI Data.

Jing Huang, Linjiang Zheng, Jiangling Qin, Dong Xia, Li Chen, Dihua Sun

Proceedings of the 2019 IEEE SmartWorld, 2019

A Carpooling Service for Private Vehicles Using Electronic Registration Identification Data.

Chen Cui, Linjiang Zheng, Dong Xia, Li Chen, Dihua Sun

Proceedings of the 2019 IEEE SmartWorld, 2019

CSIndex: A Coprocessor-Based Classified Secondary Index Mechanism for Efficient HBase Query.

Zhe Zou, Linjiang Zheng, Dong Xia, Yiwei Chen, Weining Liu, Yixiong Chen

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Classification of diabetic retinopathy based on DSIRNet.

Cong Wu Dong, Dong Xia, Jicheng Jin, Zhi Yang

Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018

Tensor SVD: Statistical and Computational Limits.

Anru Zhang, Dong Xia

IEEE Trans. Inf. Theory, 2018

Measurement Method for the Velocity of Acoustic Emission Wave in Liquid Nitrogen.

Peng Wei, Xiaole Han, Dong Xia

IEEE Trans. Ind. Electron., 2018

Novel Fiber-Optic Ring Acoustic Emission Sensor.

Peng Wei, Xiaole Han, Dong Xia, Taolin Liu, Hao Lang

Sensors, 2018

Non-asymptotic bounds for percentiles of independent non-identical random variables.

Dong Xia

CoRR, 2018

Confidence interval of singular vectors for high-dimensional and low-rank matrix regression.

Dong Xia

CoRR, 2018

The Distribution of Transient Magnetic Field and Eddy Current Losses of Three-Phase Five-Legged Transformer Under DC Bias.

Dong Xia

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017

Detonation Velocity Measurement with Chirped Fiber Bragg Grating.

Peng Wei, Hao Lang, Taolin Liu, Dong Xia

Sensors, 2017

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries.

Dong Xia, Ming Yuan, Cun-Hui Zhang

CoRR, 2017

Tensor Sketching: Sparsification and Rank-One Projection.

Dong Xia, Ming Yuan

CoRR, 2017

Guaranteed Tensor PCA with Optimality in Statistics and Computation.

Anru Zhang, Dong Xia

CoRR, 2017

The $\ell_\infty$ Perturbation of HOSVD and Low Rank Tensor Denoising.

Dong Xia, Fan Zhou

CoRR, 2017

Mining Trip Attractive Areas Using Large-Scale Taxi Trajectory Data.

Linjiang Zheng, Dong Xia, Xin Zhao, Weining Liu

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2015

Optimal estimation of low rank density matrices.

Vladimir Koltchinskii, Dong Xia

J. Mach. Learn. Res., 2015

2013

Energy-Efficient Full Diversity Collaborative Unitary Space-Time Block Code Designs via Unique Factorization of Signals.

Dong Xia, Jian-Kang Zhang, Sorina Dumitrescu

IEEE Trans. Inf. Theory, 2013

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs.

Dong Xia, Jonathan Hart, Qiang Fu

Proceedings of IEEE International Conference on Communications, 2013

2012

Full Diversity Non-Coherent Alamouti-Based Toeplitz Space-Time Block Codes.

Dong Xia, Jian-Kang Zhang, Sorina Dumitrescu, Fengkui Gong

IEEE Trans. Signal Process., 2012

On the performance of rate control algorithm Minstrel.

Dong Xia, Jonathan Hart, Qiang Fu

Proceedings of the 23rd IEEE International Symposium on Personal, 2012

2011

Energy-Efficient Full Diversity Collaborative Unitary Space-Time Block Code Design via Unique Factorization of Signals

Dong Xia, Jian-Kang Zhang, Sorina Dumitrescu

CoRR, 2011

An experimental study on performance comparison of rate adaptation and fixed rate in IEEE 802.11g.

Dong Xia, Qiang Fu

Proceedings of the Australasian Telecommunication Networks and Applications Conference, 2011