An experimental study on performance comparison of rate adaptation and fixed rate in IEEE 802.11g. - Dong Xia; Qiang Fu 011 (ATNAC, 2011)

Energy-Efficient Full Diversity Collaborative Unitary Space-Time Block Code Design via Unique Factorization of Signals - Dong Xia; Jian-Kang Zhang 002; Sorina Dumitrescu (CoRR, 2011)

On the performance of rate control algorithm Minstrel. - Dong Xia; Jonathan Hart; Qiang Fu 011 (PIMRC, 2012)

Full Diversity Non-Coherent Alamouti-Based Toeplitz Space-Time Block Codes. - Dong Xia; Jian-Kang Zhang 002; Sorina Dumitrescu; Fengkui Gong (IEEE Trans. Signal Process., 2012)

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs. - Dong Xia; Jonathan Hart; Qiang Fu 011 (ICC, 2013)

Energy-Efficient Full Diversity Collaborative Unitary Space-Time Block Code Designs via Unique Factorization of Signals. - Dong Xia; Jian-Kang Zhang 002; Sorina Dumitrescu (IEEE Trans. Inf. Theory, 2013)

Optimal estimation of low rank density matrices. - Vladimir Koltchinskii; Dong Xia (J. Mach. Learn. Res., 2015)

Mining Trip Attractive Areas Using Large-Scale Taxi Trajectory Data. - Linjiang Zheng; Dong Xia; Xin Zhao; Weining Liu (ISPA/IUCC, 2017)

The $ ell_ infty$ Perturbation of HOSVD and Low Rank Tensor Denoising. - Dong Xia; Fan Zhou (CoRR, 2017)

Guaranteed Tensor PCA with Optimality in Statistics and Computation. - Anru Zhang; Dong Xia (CoRR, 2017)

Tensor Sketching: Sparsification and Rank-One Projection. - Dong Xia; Ming Yuan 001 (CoRR, 2017)

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. - Dong Xia; Ming Yuan 001; Cun-Hui Zhang (CoRR, 2017)

Detonation Velocity Measurement with Chirped Fiber Bragg Grating. - Peng Wei 001; Hao Lang; Taolin Liu; Dong Xia (Sensors, 2017)

The Distribution of Transient Magnetic Field and Eddy Current Losses of Three-Phase Five-Legged Transformer Under DC Bias. - Dong Xia (iThings/GreenCom/CPSCom/SmartData, 2018)

Confidence interval of singular vectors for high-dimensional and low-rank matrix regression. - Dong Xia (CoRR, 2018)

Non-asymptotic bounds for percentiles of independent non-identical random variables. - Dong Xia (CoRR, 2018)

Novel Fiber-Optic Ring Acoustic Emission Sensor. - Peng Wei 001; Xiaole Han; Dong Xia; Taolin Liu; Hao Lang (Sensors, 2018)

Measurement Method for the Velocity of Acoustic Emission Wave in Liquid Nitrogen. - Peng Wei 001; Xiaole Han; Dong Xia (IEEE Trans. Ind. Electron., 2018)

Tensor SVD: Statistical and Computational Limits. - Anru Zhang; Dong Xia (IEEE Trans. Inf. Theory, 2018)

Classification of diabetic retinopathy based on DSIRNet. - Cong Wu Dong; Dong Xia; Jicheng Jin; Zhi Yang (ICCSE, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Carpooling Service for Private Vehicles Using Electronic Registration Identification Data. - Chen Cui; Linjiang Zheng; Dong Xia; Li Chen; Dihua Sun (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 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 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Data-dependent Confidence Regions of Singular Subspaces. - Dong Xia (CoRR, 2019)

Statistical Inferences of Linear Forms for Noisy Matrix Completion. - Dong Xia; Ming Yuan 001 (CoRR, 2019)

On Polynomial Time Methods for Exact Low-Rank Tensor Completion. - Dong Xia; Ming Yuan 001 (Found. Comput. Math., 2019)

The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising. - Dong Xia; Fan Zhou (J. Mach. Learn. Res., 2019)

Confidence Region of Singular Subspaces for Low-Rank Matrix Regression. - Dong Xia (IEEE Trans. Inf. Theory, 2019)

Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition. - Bing-Yi Jing; Ting Li; Zhongyuan Lyu; Dong Xia (CoRR, 2020)

Edgeworth expansions for network moments. - Yuan Zhang; Dong Xia (CoRR, 2020)

Inference for Low-rank Tensors - No Need to Debias. - Dong Xia; Anru R. Zhang; Yuchen Zhou (CoRR, 2020)

Short-term traffic flow prediction: From the perspective of traffic flow decomposition. - Li Chen; Linjiang Zheng; Jie Yang 044; Dong Xia; Weining Liu (Neurocomputing, 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)

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)

Effective Tensor Sketching via Sparsification. - Dong Xia; Ming Yuan 001 (IEEE Trans. Inf. Theory, 2021)

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 (AIAM, 2022)

A Particle Swarm-Based Commuter Matching Approach for Stable. - Chenglin Ye; Linjiang Zheng; Dong Xia (SMC, 2022)

Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures. - Zhongyuan Lyu; Dong Xia (CoRR, 2022)

Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation. - Yinan Shen; Jingyang Li; Jian-Feng Cai 001; Dong Xia (CoRR, 2022)

Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model. - Zhongyuan Lyu; Dong Xia (CoRR, 2022)

Optimal Regularized Online Convex Allocation by Adaptive Re-Solving. - Wanteng Ma; Ying Cao 007; Danny H. K. Tsang; Dong Xia (CoRR, 2022)

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. - Tianxi Cai; Dong Xia; Luwan Zhang; Doudou Zhou (CoRR, 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)

Urban Customized Bus Design for Private Car Commuters. - Dong Xia; Linjiang Zheng; Xiaolin Cai; Weining Liu; Dihua Sun (IEEE Internet Things J., 2022)

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization. - Jian-Feng Cai 001; Jingyang Li; Dong Xia (J. Mach. Learn. Res., 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)

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)

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 003; Dong Xia; Ritesh Krishna; Dominic Richards (BCB, 2023)

rMultiNet: An R Package For Multilayer Networks Analysis. - Ting Li; Zhongyuan Lyu; Chenyu Ren; Dong Xia (CoRR, 2023)

Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression. - Yinan Shen; Jingyang Li; Jian-Feng Cai 001; Dong Xia (CoRR, 2023)

Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret. - Jian-Feng Cai 001; Jingyang Li; Dong Xia (CoRR, 2023)

Quantile and pseudo-Huber Tensor Decomposition. - Yinan Shen; Dong Xia (CoRR, 2023)

Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks. - Zhongyuan Lyu; Ting Li; Dong Xia (CoRR, 2023)

Multiple Testing of Linear Forms for Noisy Matrix Completion. - Wanteng Ma; Lilun Du; Dong Xia; Ming Yuan 001 (CoRR, 2023)

Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition. - Zhongyuan Lyu; Dong Xia; Yuan Zhang (J. Comput. Graph. Stat., 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., 2023)

High-dimensional Linear Bandits with Knapsacks. - Wanteng Ma; Dong Xia; Jiashuo Jiang (ICML, 2024)

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices. - T. Tony Cai; Dong Xia; Mengyue Zha (CoRR, 2024)

Online Quantile Regression. - Yinan Shen; Dong Xia; Wen-Xin Zhou (CoRR, 2024)

Online Policy Learning and Inference by Matrix Completion. - Congyuan Duan; Jingyang Li; Dong Xia (CoRR, 2024)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges. - Arnab Auddy; Dong Xia; Ming Yuan 001 (CoRR, 2024)

Local Prediction-Powered Inference. - Yanwu Gu; Dong Xia (CoRR, 2024)

Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates. - Congyuan Duan; Wanteng Ma; Jiashuo Jiang; Dong Xia (CoRR, 2024)

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm. - Jingyang Li; T. Tony Cai; Dong Xia; Anru R. Zhang (CoRR, 2024)

A Single Snapshot DOA Estimation Method Based on ADMM-Net. - Jiachen Wang; Yifeng Wu; Xiaobo Deng; Lei Zhang 019; Dong Xia; Qinquan Zhou (IEEE Geosci. Remote. Sens. Lett., 2024)

ISTAP-Based Multichannel Radar DOA Estimation Under Rapid Airspace Rotation. - Lichao Zhou; Yifeng Wu; Lei Zhang 019; Dong Xia (IEEE Geosci. Remote. Sens. Lett., 2024)

Optimal Regularized Online Allocation by Adaptive Re-Solving. - Wanteng Ma; Ying Cao 007; Danny H. K. Tsang; Dong Xia (Oper. Res., 2025)