Joint power management and beamforming for base stations in Cognitive Radio systems. - Xiao Fu 001; Jun Wang 005; Shaoqian Li (ISWCS, 2009)

A simple closed-form solution for overdetermined blind separation of locally sparse quasi-stationary sources. - Xiao Fu 001; Wing-Kin Ma (ICASSP, 2012)

Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint. - Xiao Fu 001; Wing-Kin Ma; Tsung-Han Chan; José M. Bioucas-Dias; Marian-Daniel Iordache (EUSIPCO, 2013)

Blind separation of convolutive mixtures of speech sources: Exploiting local sparsity. - Xiao Fu 001; Wing-Kin Ma (ICASSP, 2013)

A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources. - Ka-Kit Lee; Wing-Kin Ma; Xiao Fu 001; Tsung-Han Chan; Chong-Yung Chi (Signal Process., 2013)

Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT. - Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma; John Tranter (ICASSP, 2014)

Tensor-based power spectra separation and emitter localization for cognitive radio. - Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma (SAM, 2014)

A robust subspace method for semiblind dictionary-aided hyperspectral unmixing. - Xiao Fu 001; Wing-Kin Ma; José M. Bioucas-Dias; Tsung-Han Chan (WHISPERS, 2014)

Joint factor analysis and latent clustering. - Bo Yang; Xiao Fu 001; Nicholas D. Sidiropoulos (CAMSAP, 2015)

Translation Invariant Word Embeddings. - Kejun Huang; Matt Gardner 001; Evangelos E. Papalexakis; Christos Faloutsos; Nikos D. Sidiropoulos; Tom M. Mitchell; Partha Pratim Talukdar; Xiao Fu 001 (EMNLP, 2015)

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related. - Xiao Fu 001; Wing-Kin Ma; Tsung-Han Chan; José M. Bioucas-Dias (IEEE J. Sel. Top. Signal Process., 2015)

Joint Tensor Factorization and Outlying Slab Suppression With Applications. - Xiao Fu 001; Kejun Huang; Wing-Kin Ma; Nicholas D. Sidiropoulos; Rasmus Bro (IEEE Trans. Signal Process., 2015)

Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain. - Xiao Fu 001; Wing-Kin Ma; Kejun Huang; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2015)

A Factor Analysis Framework for Power Spectra Separation and Multiple Emitter Localization. - Xiao Fu 001; Nicholas D. Sidiropoulos; John H. Tranter; Wing-Kin Ma (IEEE Trans. Signal Process., 2015)

Inexact alternating optimization for phase retrieval with outliers. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos; Lei Huang 001 (EUSIPCO, 2016)

Fast unit-modulus least squares with applications in transmit beamforming. - John H. Tranter; Nicholas D. Sidiropoulos; Xiao Fu 001; Ananthram Swami (EUSIPCO, 2016)

Robust volume minimization-based matrix factorization via alternating optimization. - Xiao Fu 001; Wing-Kin Ma; Kejun Huang; Nicholas D. Sidiropoulos (ICASSP, 2016)

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. - Xiao Fu 001; Kejun Huang; Evangelos E. Papalexakis; Hyun Ah Song; Partha Pratim Talukdar; Nicholas D. Sidiropoulos; Christos Faloutsos; Tom M. Mitchell (ICDM, 2016)

Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. - Kejun Huang; Xiao Fu 001; Nikos D. Sidiropoulos (NIPS, 2016)

Robustness Analysis of Structured Matrix Factorization via Self-Dictionary Mixed-Norm Optimization. - Xiao Fu 001; Wing-Kin Ma (IEEE Signal Process. Lett., 2016)

Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches. - Xiao Fu 001; Wing-Kin Ma; José M. Bioucas-Dias; Tsung-Han Chan (IEEE Trans. Geosci. Remote. Sens., 2016)

Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering. - Xiao Fu 001; Kejun Huang; Bo Yang; Wing-Kin Ma; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2016)

Power Spectra Separation via Structured Matrix Factorization. - Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma (IEEE Trans. Signal Process., 2016)

Directed network topology inference via sparse joint diagonalization. - Yanning Shen; Xiao Fu 001; Georgios B. Giannakis; Nicholas D. Sidiropoulos (ACSSC, 2017)

Distributed optimal power flow using feasible point pursuit. - Ahmed S. Zamzam; Xiao Fu 001; Emiliano Dall'Anese; Nicholas D. Sidiropoulos (CAMSAP, 2017)

Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (ICASSP, 2017)

A stochastic maximum-likelihood framework for simplex structured matrix factorization. - Ruiyuan Wu; Wing-Kin Ma; Xiao Fu 001 (ICASSP, 2017)

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering. - Bo Yang; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (ICML, 2017)

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. - Xiao Fu 001; Kejun Huang; Otilia Stretcu; Hyun Ah Song; Evangelos E. Papalexakis; Partha P. Talukdar; Tom M. Mitchell; Nicholas D. Sidiropoulos; Christos Faloutsos; Barnabás Póczos (SDM, 2017)

Learning to optimize: Training deep neural networks for wireless resource management. - Haoran Sun; Xiangyi Chen; Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Nikos D. Sidiropoulos (SPAWC, 2017)

Non-uniform directional dictionary-based limited feedback for massive MIMO systems. - Panos N. Alevizos; Xiao Fu 001; Nicholas D. Sidiropoulos; Ye Yang; Aggelos Bletsas (WiOpt, 2017)

Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization. - Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Tsung-Hui Chang (CoRR, 2017)

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (IEEE Trans. Signal Process., 2017)

Inexact Alternating Optimization for Phase Retrieval in the Presence of Outliers. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos; Lei Huang 001; Junhao Xie (IEEE Trans. Signal Process., 2017)

Tensor Decomposition for Signal Processing and Machine Learning. - Nicholas D. Sidiropoulos; Lieven De Lathauwer; Xiao Fu 001; Kejun Huang; Evangelos E. Papalexakis; Christos Faloutsos (IEEE Trans. Signal Process., 2017)

Fast Unit-Modulus Least Squares With Applications in Beamforming. - John Tranter; Nicholas D. Sidiropoulos; Xiao Fu 001; Ananthram Swami (IEEE Trans. Signal Process., 2017)

Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering. - Bo Yang; Xiao Fu 001; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2017)

On Convergence of Epanechnikov Mean Shift. - Kejun Huang; Xiao Fu 001; Nicholas D. Sidiropoulos (AAAI, 2018)

Tensor-Based Parameter Estimation of Double Directional Massive Mimo Channel with Dual-Polarized Antennas. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos; Ye Yang (ICASSP, 2018)

Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (ICASSP, 2018)

Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma (ICASSP, 2018)

Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution. - Ruiyuan Wu; Chun-Hei Chan; Hoi-To Wai; Wing-Kin Ma; Xiao Fu 001 (ICASSP, 2018)

Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma (ICIP, 2018)

Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling. - Kejun Huang; Xiao Fu 001; Nicholas D. Sidiropoulos (ICML, 2018)

Learning-Based Antenna Selection for Multicasting. - Mohamed Salah Ibrahim; Ahmed S. Zamzam; Xiao Fu 001; Nicholas D. Sidiropoulos (SPAWC, 2018)

Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. - Haoran Sun; Ziping Zhao 002; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2018)

A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution. - Ruiyuan Wu; Qiang Li 017; Xiao Fu 001; Wing-Kin Ma (SSP, 2018)

Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling. - Kejun Huang; Xiao Fu 001; Nicholas D. Sidiropoulos (CoRR, 2018)

On Identifiability of Nonnegative Matrix Factorization. - Xiao Fu 001; Kejun Huang; Nicholas D. Sidiropoulos (IEEE Signal Process. Lett., 2018)

Limited Feedback Channel Estimation in Massive MIMO With Non-Uniform Directional Dictionaries. - Panos N. Alevizos; Xiao Fu 001; Nicholas D. Sidiropoulos; Ye Yang; Aggelos Bletsas (IEEE Trans. Signal Process., 2018)

Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Wing-Kin Ma (IEEE Trans. Signal Process., 2018)

Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors. - Nikos Kargas; Nicholas D. Sidiropoulos; Xiao Fu 001 (IEEE Trans. Signal Process., 2018)

Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos; Ye Yang (IEEE Trans. Signal Process., 2018)

MISO Channel Estimation and Tracking from Received Signal Strength Feedback. - Tianyu Qiu; Xiao Fu 001; Nicholas D. Sidiropoulos; Daniel P. Palomar (IEEE Trans. Signal Process., 2018)

Learning to Optimize: Training Deep Neural Networks for Interference Management. - Haoran Sun; Xiangyi Chen; Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2018)

Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. - Bo Yang; Xiao Fu 001; Nicholas D. Sidiropoulos; Kejun Huang (ACSSC, 2019)

Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography. - Guoyong Zhang; Xiao Fu 001; Jun Wang 005; Mingyi Hong 001 (ACSSC, 2019)

Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach. - Guoyong Zhang; Xiao Fu 001; Kejun Huang; Jun Wang 005 (CAMSAP, 2019)

Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning. - Shahana Ibrahim; Xiao Fu 001 (DSW, 2019)

Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization. - Kejun Huang; Xiao Fu 001 (GlobalSIP, 2019)

Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. - Xiao Fu 001; Cheng Gao; Hoi-To Wai; Kejun Huang (ICASSP, 2019)

Regular Sampling of Tensor Signals: Theory and Application to FMRI. - Charilaos I. Kanatsoulis; Nicholas D. Sidiropoulos; Mehmet Akçakaya; Xiao Fu 001 (ICASSP, 2019)

Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm. - Kejun Huang; Xiao Fu 001 (ICML, 2019)

Block-Term Tensor Decomposition Via Constrained Matrix Factorization. - Xiao Fu 001; Kejun Huang (MLSP, 2019)

ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. - Trung Vu 001; Raviv Raich; Xiao Fu 001 (MLSP, 2019)

Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. - Shahana Ibrahim; Xiao Fu 001; Nikolaos Kargas; Kejun Huang (NeurIPS, 2019)

A Simple Algebraic Channel Estimation Method for FDD Massive MIMO Systems. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos (SPAWC, 2019)

Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (VCIP, 2019)

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. - Xiao Fu 001; Cheng Gao; Hoi-To Wai; Kejun Huang (CoRR, 2019)

Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm. - Qi Lyu; Xiao Fu 001 (CoRR, 2019)

Algebraic Channel Estimation Algorithms for FDD Massive MIMO Systems. - Cheng Qian 001; Xiao Fu 001; Nikolaos D. Sidiropoulos (IEEE J. Sel. Top. Signal Process., 2019)

Anchor-Free Correlated Topic Modeling. - Xiao Fu 001; Kejun Huang; Nicholas D. Sidiropoulos; Qingjiang Shi; Mingyi Hong 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Amplitude Retrieval for Channel Estimation of MIMO Systems With One-Bit ADCs. - Cheng Qian 001; Xiao Fu 001; Nicholas D. Sidiropoulos (IEEE Signal Process. Lett., 2019)

Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. - Xiao Fu 001; Kejun Huang; Nicholas D. Sidiropoulos; Wing-Kin Ma (IEEE Signal Process. Mag., 2019)

Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. - Xiao Fu 001; Kejun Huang; Evangelos E. Papalexakis; Hyun Ah Song; Partha P. Talukdar; Nicholas D. Sidiropoulos; Christos Faloutsos; Tom M. Mitchell (IEEE Trans. Knowl. Data Eng., 2019)

Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (IEEE Trans. Signal Process., 2019)

Recovering Joint PMF from Pairwise Marginals. - Shahana Ibrahim; Xiao Fu 001 (ACSSC, 2020)

Nonlinear Dependent Component Analysis: Identifiability and Algorithm. - Qi Lyu; Xiao Fu 001 (EUSIPCO, 2020)

Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. - Kejun Huang; Xiao Fu 001 (ICASSP, 2020)

Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation. - Qi Lyu; Xiao Fu 001 (SAM, 2020)

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (CoRR, 2020)

On Recoverability of Randomly Compressed Tensors With Low CP Rank. - Shahana Ibrahim; Xiao Fu 001; Xingguo Li (IEEE Signal Process. Lett., 2020)

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (IEEE Signal Process. Mag., 2020)

Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. - Ruiyuan Wu; Wing-Kin Ma; Xiao Fu 001; Qiang Li 017 (IEEE Trans. Geosci. Remote. Sens., 2020)

Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. - Yanning Shen; Xiao Fu 001; Georgios B. Giannakis; Nicholas D. Sidiropoulos (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. - Xiao Fu 001; Shahana Ibrahim; Hoi-To Wai; Cheng Gao; Kejun Huang (IEEE Trans. Signal Process., 2020)

Tensor Completion From Regular Sub-Nyquist Samples. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mehmet Akçakaya (IEEE Trans. Signal Process., 2020)

Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Signal Process., 2020)

Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications. - Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Tsung-Hui Chang (IEEE Trans. Signal Process., 2020)

Learning Nonlinear Mixtures: Identifiability and Algorithm. - Bo Yang; Xiao Fu 001; Nicholas D. Sidiropoulos; Kejun Huang (IEEE Trans. Signal Process., 2020)

Spectrum Cartography via Coupled Block-Term Tensor Decomposition. - Guoyong Zhang; Xiao Fu 001; Jun Wang 005; Xi-Le Zhao; Mingyi Hong 001 (IEEE Trans. Signal Process., 2020)

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. - Eugene Seo 001; Rebecca A. Hutchinson; Xiao Fu 001; Chelsea Li; Tyler A. Hallman; John Kilbride; W. Douglas Robinson (AAAI, 2021)

VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition. - Lingyi Huang; Chunhua Deng; Shahana Ibrahim; Xiao Fu 001; Bo Yuan 001 (ACSCC, 2021)

Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. - Meng Ding 002; Xiao Fu 001; Ting-Zhu Huang; Xi-Le Zhao (EUSIPCO, 2021)

Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm. - Shahana Ibrahim; Xiao Fu 001 (ICASSP, 2021)

Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. - Wenqiang Pu; Shahana Ibrahim; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2021)

Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2021)

Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. - Haoran Sun; Wenqiang Pu; Minghe Zhu; Xiao Fu 001; Tsung-Hui Chang; Mingyi Hong 001 (ICASSP, 2021)

Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. - Shahana Ibrahim; Xiao Fu 001 (ICML, 2021)

Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors. - Yu-Chun Miao; Xi-Le Zhao; Xiao Fu 001; Jian-Li Wang; Yu-Bang Zheng (CoRR, 2021)

Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (CoRR, 2021)

Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. - Sagar Shrestha; Xiao Fu 001 (CoRR, 2021)

Uncovering migration systems through spatio-temporal tensor co-clustering. - Zack W. Almquist; Tri Duc Nguyen; Mikael Sørensen; Xiao Fu 001; Nicholas D. Sidiropoulos (CoRR, 2021)

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling. - Meng Ding 002; Xiao Fu 001; Ting-Zhu Huang; Jun Wang 005; Xi-Le Zhao (IEEE J. Sel. Top. Signal Process., 2021)

Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Chenglin Li; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. - Xiao Fu 001; Eugene Seo 001; Justin Clarke; Rebecca A. Hutchinson (IEEE Trans. Knowl. Data Eng., 2021)

Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals. - Shahana Ibrahim; Xiao Fu 001 (IEEE Trans. Signal Process., 2021)

Mixed Membership Graph Clustering via Systematic Edge Query. - Shahana Ibrahim; Xiao Fu 001 (IEEE Trans. Signal Process., 2021)

Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Signal Process., 2021)

Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization. - Tri Nguyen; Xiao Fu 001; Ruiyuan Wu (IEEECONF, 2022)

Massive MIMO Channel Estimation via Compressed and Quantized Feedback. - Mingjie Shao; Xiao Fu 001 (IEEECONF, 2022)

Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization. - Sagar Shrestha; Xiao Fu 001 (ICASSP, 2022)

Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. - Qi Lyu; Xiao Fu 001; Weiran Wang; Songtao Lu (ICLR, 2022)

On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. - Qi Lyu; Xiao Fu 001 (ICML, 2022)

Provable Subspace Identification Under Post-Nonlinear Mixtures. - Qi Lyu; Xiao Fu 001 (NeurIPS, 2022)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (CoRR, 2022)

Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors. - Yu-Chun Miao; Xi-Le Zhao; Xiao Fu 001; Jian-Li Wang; Yu-Bang Zheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. - Tri Nguyen; Xiao Fu 001; Ruiyuan Wu (IEEE Trans. Signal Process., 2022)

Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. - Wenqiang Pu; Shahana Ibrahim; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. - Haoran Sun; Wenqiang Pu; Xiao Fu 001; Tsung-Hui Chang; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design. - Daniel Grey Wolnick; Shahana Ibrahim; Tim Marrinan; Xiao Fu 001 (CAMSAP, 2023)

Bilinear Hyperspectral Unmixing via Tensor Decomposition. - Meng Ding 002; Xiao Fu 001; Xi-Le Zhao (EUSIPCO, 2023)

Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2023)

Deep Spectrum Cartography Using Quantized Measurements. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (ICASSP, 2023)

Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. - Shahana Ibrahim; Tri Nguyen; Xiao Fu 001 (ICLR, 2023)

Under-Counted Tensor Completion with Neural Incorporation of Attributes. - Shahana Ibrahim; Xiao Fu 001; Rebecca A. Hutchinson; Eugene Seo 001 (ICML, 2023)

Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. - Tri Nguyen; Shahana Ibrahim; Xiao Fu 001 (ICML, 2023)

Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. - Bingqing Song; Zhicheng Zhou; Chenliang Li; Dongning Guo; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2023)

Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing. - Meng Ding 002; Xiao Fu 001; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. - Sagar Shrestha; Xiao Fu 001 (IEEE Trans. Signal Process., 2023)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2023)

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. - Trung Vu 001; Raviv Raich; Xiao Fu 001 (IEEE Trans. Signal Process., 2023)

Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning. - Qi Lyu; Xiao Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Probabilistic Simplex Component Analysis via Variational Auto-Encoding. - Yuening Li; Xiao Fu 001; Wing-Kin Ma (ICASSP, 2024)

A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. - Wenqiang Pu; Jiawei Zhang 007; Rui Zhou; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2024)

Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. - Sagar Shrestha; Xiao Fu 001 (ICLR, 2024)

Labeling Sequential Data From Noisy Annotations. - Tim Marrinan; Shahana Ibrahim; Xiao Fu 001 (SAM, 2024)

Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images. - Jiahui Song; Sagar Shrestha; Xueshen Li; Yu Gan 003; Xiao Fu 001 (SAM, 2024)

Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom. - Tri Nguyen; Shahana Ibrahim; Xiao Fu 001 (NeurIPS, 2024)

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (NeurIPS, 2024)

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. - Shahana Ibrahim; Panagiotis A. Traganitis; Xiao Fu 001; Georgios B. Giannakis (CoRR, 2024)

Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. - Yuening Li; Xiao Fu 001; Junbin Liu; Wing-Kin Ma (CoRR, 2024)

Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm. - Rajesh Shrestha; Mingjie Shao; Mingyi Hong 001; Wing-Kin Ma; Xiao Fu 001 (CoRR, 2024)

Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. - Yu-Chun Miao; Xi-Le Zhao; Jian-Li Wang; Xiao Fu 001; Yao Wang 003 (IEEE Trans. Computational Imaging, 2024)

Quantized Radio Map Estimation Using Tensor and Deep Generative Models. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (IEEE Trans. Signal Process., 2024)

Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach. - Hongcheng Dong; Wenqiang Pu; Rui Zhou; Xiao Fu 001; Feng Yin (ICASSP, 2025)

Under-Counted Matrix Completion Without Detection Features. - Tri Nguyen; Shahana Ibrahim; Rebecca A. Hutchinson; Xiao Fu 001 (ICASSP, 2025)

Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers. - Le Xu; Lei Cheng 003; Junting Chen; Wenqiang Pu; Xiao Fu 001 (ICASSP, 2025)

Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. - Sagar Shrestha; Xiao Fu 001 (ICLR, 2025)

FieldFormer: Self-Supervised Reconstruction of Physical Fields via Tensor Attention Prior. - Panqi Chen; Siyuan Li; Lei Cheng 003; Xiao Fu 001; Yik-Chung Wu; Sergios Theodoridis (IEEE Trans. Signal Process., 2025)

Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach. - Yanmeng Wang; Wenkai Ji; Jian Zhou; Xiao Fu 001; Tsung-Hui Chang (CoRR, 2025)