Perturbation Analyses for the QR Factorization. - Xiao-Wen Chang; Christopher C. Paige; G. W. Stewart (SIAM J. Matrix Anal. Appl., 1997)

Perturbation Analyses for the Cholesky Downdating Problem. - Xiao-Wen Chang; Christopher C. Paige (SIAM J. Matrix Anal. Appl., 1998)

Componentwise perturbation analyses for the QR factorization. - Xiao-Wen Chang; Christopher C. Paige (Numerische Mathematik, 2001)

Numerical linear algebra in the integrity theory of the Global Positioning System. - Xiao-Wen Chang; Christopher C. Paige (Comput. Stat. Data Anal., 2002)

An Orthogonal Transformation Algorithm for GPS Positioning. - Xiao-Wen Chang; Christopher C. Paige (SIAM J. Sci. Comput., 2003)

Wavelet estimation of partially linear models. - Xiao-Wen Chang; Leming Qu (Comput. Stat. Data Anal., 2004)

Erratum to "Wavelet estimation of partially linear models" [Computational Statistics and Data Analysis 47/1 (2004) 31-48]. - Xiao-Wen Chang; Leming Qu (Comput. Stat. Data Anal., 2005)

Asymptotic properties of the QR factorization of banded Hessenberg-Toeplitz matrices. - Xiao-Wen Chang; Martin J. Gander; Samir Karaa (Numer. Linear Algebra Appl., 2005)

Computation of a Test Statistic in Data Quality Control. - Xiao-Wen Chang; Christopher C. Paige; Christian C. J. M. Tiberius (SIAM J. Sci. Comput., 2005)

Computation of Huber's M-estimates for a block-angular regression problem. - Xiao-Wen Chang (Comput. Stat. Data Anal., 2006)

An Efficient Tree Search Decoder with Column Reordering for Underdetermined MIMO Systems. - Xiao-Wen Chang; Xiaohua Yang (GLOBECOM, 2007)

An efficient regularization approach for underdetermined MIMO system decoding. - Xiao-Wen Chang; Xiaohua Yang (IWCMC, 2007)

A Maximum-Likelihood Decoder with a New Reduction Strategy for MIMO Channel Systems. - Xiao-Wen Chang; Xiaohua Yang (GLOBECOM, 2008)

Towards A Backward Perturbation Analysis For Data Least Squares Problems. - Xiao-Wen Chang; Gene H. Golub; Christopher C. Paige (SIAM J. Matrix Anal. Appl., 2008)

Characterizing Matrices That Are Consistent with Given Solutions. - Xiao-Wen Chang; Christopher C. Paige; David Titley-Péloquin (SIAM J. Matrix Anal. Appl., 2008)

Solving Box-Constrained Integer Least Squares Problems. - Xiao-Wen Chang; Qing Han (IEEE Trans. Wirel. Commun., 2008)

Partial regularisation approach for detection problems in underdetermined linear systems. - Xiao-Wen Chang; Xiaohua Yang; Tho Le-Ngoc; Ping Wang (IET Commun., 2009)

Solving Ellipsoid-Constrained Integer Least Squares Problems. - Xiao-Wen Chang; Gene H. Golub (SIAM J. Matrix Anal. Appl., 2009)

Stopping Criteria for the Iterative Solution of Linear Least Squares Problems. - Xiao-Wen Chang; Christopher C. Paige; David Titley-Péloquin (SIAM J. Matrix Anal. Appl., 2009)

Rigorous Perturbation Bounds of Some Matrix Factorizations. - Xiao-Wen Chang; Damien Stehlé (SIAM J. Matrix Anal. Appl., 2010)

TailCon: Power-Minimizing Tail Percentile Control of Response Time in Server Clusters. - Xi Chen 009; Xue Liu 001; Shengquan Wang; Xiao-Wen Chang (SRDS, 2012)

Partial LLL Reduction - Xiaohu Xie; Xiao-Wen Chang; Mazen Al Borno (CoRR, 2012)

Column Reordering for Box-Constrained Integer Least Squares Problems - Stephen Breen; Xiao-Wen Chang (CoRR, 2012)

Perturbation Analysis of the QR factor R in the context of LLL lattice basis reduction. - Xiao-Wen Chang; Damien Stehlé; Gilles Villard (Math. Comput., 2012)

On the perturbation of the Q-factor of the QR factorization. - Xiao-Wen Chang (Numer. Linear Algebra Appl., 2012)

A joint localization and synchronization technique using time of arrival at multiple antenna receivers. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (ACSSC, 2013)

Effects of the LLL Reduction on the Success Probability of the Babai Point and on the Complexity of Sphere Decoding. - Xiao-Wen Chang; Jinming Wen; Xiaohu Xie (IEEE Trans. Inf. Theory, 2013)

SyRaFa: Synchronous Rate and Frequency Adjustment for Utilization Control in Distributed Real-Time Embedded Systems. - Xi Chen 009; Xiao-Wen Chang; Xue Liu 001 (IEEE Trans. Parallel Distributed Syst., 2013)

Cooperative localization of mobile nodes in NLOS. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (PIMRC, 2014)

Distributed cooperative localization in wireless sensor networks without NLOS identification. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (WPNC, 2014)

Lattice preconditioning for the real relaxation branch-and-bound approach for integer least squares problems. - Miguel F. Anjos; Xiao-Wen Chang; Wen-Yang Ku (J. Glob. Optim., 2014)

Compute-and-forward protocol design based on improved sphere decoding. - Jinming Wen; Baojian Zhou; Wai Ho Mow; Xiao-Wen Chang (ICC, 2015)

Sensor localization in NLOS environments with anchor uncertainty and unknown clock parameters. - Siamak Yousefi; Reza Monir Vaghefi; Xiao-Wen Chang; Benoît Champagne 001; R. Michael Buehrer (ICC Workshops, 2015)

A modified KZ reduction algorithm. - Jinming Wen; Xiao-Wen Chang (ISIT, 2015)

Mobile Localization in Non-Line-of-Sight Using Constrained Square-Root Unscented Kalman Filter. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (IEEE Trans. Veh. Technol., 2015)

A linearithmic time algorithm for a shortest vector problem in compute-and-forward design. - Jinming Wen; Xiao-Wen Chang (ISIT, 2016)

Tight Two-Dimensional Outer-Approximations of Feasible Sets in Wireless Sensor Networks. - Siamak Yousefi; Henk Wymeersch; Xiao-Wen Chang; Benoît Champagne 001 (IEEE Commun. Lett., 2016)

An Efficient Algorithm for Optimally Solving a Shortest Vector Problem in Compute-and-Forward Design. - Jinming Wen; Baojian Zhou; Wai Ho Mow; Xiao-Wen Chang (IEEE Trans. Wirel. Commun., 2016)

On the success probability of the box-constrained rounding and Babai detectors. - Jinming Wen; Xiao-Wen Chang; Chintha Tellambura (ISIT, 2017)

LocMe: Human locomotion and map exploitation based indoor localization. - Xinye Lin; Xiao-Wen Chang; Xue Liu (PerCom, 2017)

A KZ Reduction Algorithm. - Jinming Wen; Xiao-Wen Chang (CoRR, 2017)

GfcLLL: A Greedy Selection-Based Approach for Fixed-Complexity LLL Reduction. - Jinming Wen; Xiao-Wen Chang (IEEE Commun. Lett., 2017)

SHOW: Smart Handwriting on Watches. - Xinye Lin; Yixin Chen; Xiao-Wen Chang; Xue Liu; Xiaodong Wang 002 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Success Probability of the Babai Estimators for Box-Constrained Integer Linear Models. - Jinming Wen; Xiao-Wen Chang (IEEE Trans. Inf. Theory, 2017)

Success Probability of a Suboptimal Solution to the Sparse MAP Detection. - Xiao-Wen Chang; Victor Jukic Prevost (ISIT, 2018)

A novel approach for ellipsoidal outer-approximation of the intersection region of ellipses in the plane. - Siamak Yousefi; Xiao-Wen Chang; Henk Wymeersch; Benoît Champagne 001; Godfried Toussaint (Comput. Optim. Appl., 2018)

Improved Upper Bounds on the Hermite and KZ Constants. - Jinming Wen; Xiao-Wen Chang; Jian Weng 001 (ISIT, 2019)

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. - Sitao Luan; Mingde Zhao 001; Xiao-Wen Chang; Doina Precup (NeurIPS, 2019)

Efficient Detection Scheme for Physical-Layer Network Coding in Multiway Relay Channels. - Hao Li 037; Xiao-Wen Chang; Yunlong Cai; Benoît Champagne 001 (IEEE Access, 2019)

Revisit Policy Optimization in Matrix Form. - Sitao Luan; Xiao-Wen Chang; Doina Precup (CoRR, 2019)

On the KZ Reduction. - Jinming Wen; Xiao-Wen Chang (IEEE Trans. Inf. Theory, 2019)

Design Criteria for Omnidirectional STBC in Massive MIMO Systems. - Alireza Morsali; Seyyed Saleh Hosseini; Benoît Champagne 001; Xiao-Wen Chang (IEEE Wirel. Commun. Lett., 2019)

META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. - Mingde Zhao 001; Sitao Luan; Ian Porada; Xiao-Wen Chang; Doina Precup (AAMAS, 2020)

On the Randomized Babai Point. - Xiao-Wen Chang; Zhilong Chen; Yingzi Xu (ISIT, 2020)

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. - Sitao Luan; Mingde Zhao 001; Chenqing Hua; Xiao-Wen Chang; Doina Precup (CoRR, 2020)

Success-Probability-Based Power Allocation for Downlink PNC in Multi-way Relay Channels. - Hao Li 037; Xiao-Wen Chang; Benoît Champagne 001 (VTC Spring, 2021)

A Green Downlink Power Allocation Scheme for Cell-Free Massive MIMO Systems. - Seyyed Saleh Hosseini; Benoît Champagne 001; Xiao-Wen Chang (IEEE Access, 2021)

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Mingde Zhao 001; Shuyuan Zhang; Xiao-Wen Chang; Doina Precup (CoRR, 2021)

On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model. - Jinming Wen; Xiao-Wen Chang (IEEE Trans. Commun., 2021)

Optimal Power Allocation Based on Success Probability of SIC Detection in MWRC PNC. - Hao Li 037; Xiao-Wen Chang; Benoît Champagne 001 (CCECE, 2022)

Revisiting Heterophily For Graph Neural Networks. - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Mingde Zhao 001; Shuyuan Zhang; Xiao-Wen Chang; Doina Precup (NeurIPS, 2022)

A Low-Complexity DNN-Based DoA Estimation Method for EHF and THF Cell-Free Massive MIMO. - Seyyed Saleh Hosseini; Benoît Champagne 001; Xiao-Wen Chang (VTC Fall, 2022)

When Do We Need GNN for Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Doina Precup (CoRR, 2022)

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. - Sitao Luan; Mingde Zhao 001; Chenqing Hua; Xiao-Wen Chang; Doina Precup (CoRR, 2022)

Sharper bounds on four lattice constants. - Jinming Wen; Xiao-Wen Chang (Des. Codes Cryptogr., 2022)

Product-to-Product Virtual Metrology of Color Filter Processes in Panel Industry. - Shu-Kai S. Fan; Xiao-Wen Chang; Yu-Yu Lin (IEEE Trans Autom. Sci. Eng., 2022)

When Do We Need Graph Neural Networks for Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Doina Precup (COMPLEX NETWORKS (1), 2023)

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. - Sitao Luan; Mingde Zhao 001; Xiao-Wen Chang; Doina Precup (COMPLEX NETWORKS (1), 2023)

Success Probabilities of L2-norm Regularized Babai Detectors and Maximization. - Xiao-Wen Chang; Qincheng Lu; Yingzi Xu (ISIT, 2023)

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. - Sitao Luan; Chenqing Hua; Minkai Xu; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Jie Fu; Jure Leskovec; Doina Precup (NeurIPS, 2023)

Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion. - Erqun Dong; Sheroze Sheriffdeen; Shichao Yang; Jing Dong 002; Renzo De Nardi; Carl Yuheng Ren; Xiao-Wen Chang; Xue Liu; Zijian Wang (CoRR, 2023)

New LLRT-Based Methods for Active Eavesdropper Detection in Cell-Free Massive MIMO. - Seyyed Saleh Hosseini; Xiao-Wen Chang; Benoît Champagne 001 (IEEE Open J. Commun. Soc., 2023)

GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection. - Qincheng Lu; Sitao Luan; Xiao-Wen Chang (GLOBECOM, 2024)

On the Success Probability of the $L_{0}$-regularized Box-constrained Babai Point. - Xiao-Wen Chang; Yingzi Xu (ISIT, 2024)

Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph Learning. - Qincheng Lu; Jiaqi Zhu; Sitao Luan; Xiao-Wen Chang (LoG, 2024)

Success probability of the L0-regularized box-constrained Babai point and column permutation strategies. - Xiao-Wen Chang; Yingzi Xu (CoRR, 2024)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention. - Qincheng Lu; Jiaqi Zhu; Sitao Luan; Xiao-Wen Chang (CoRR, 2024)

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. - Sitao Luan; Chenqing Hua; Qincheng Lu; Liheng Ma; Lirong Wu; Xinyu Wang; Minkai Xu; Xiao-Wen Chang; Doina Precup; Rex Ying; Stan Z. Li; Jian Tang 005; et al. (CoRR, 2024)

Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. - Sitao Luan; Qincheng Lu; Chenqing Hua; Xinyu Wang; Jiaqi Zhu; Xiao-Wen Chang; Guy Wolf; Jian Tang 005 (CoRR, 2024)

An ADMM based method for underdetermined box-constrained integer least squares problems. - Xiao-Wen Chang; Tianchi Ma (Optim. Methods Softw., 2024)

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval. - Xinyu Wang; Linrui Ma; Jerry Huang; Peng Lu; Prasanna Parthasarathi; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)

SCAR: Shapley Credit Assignment for More Efficient RLHF. - Meng Cao; Shuyuan Zhang; Xiao-Wen Chang; Doina Precup (CoRR, 2025)

PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. - Xinyu Wang; Vahid Partovi Nia; Peng Lu; Jerry Huang; Xiao-Wen Chang; Boxing Chen; Yufei Cui (CoRR, 2025)