Xiao Fu - RankMe

199 papers A* 21A 1B 2C 1Misc 29Journal 115Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework. CoRR Rajesh Shrestha, Xiao Fu
2026	J	`jnl`	Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability. CoRR Jiahui Song, Sagar Shrestha, Xiao Fu
2025	A*	`conf`	Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. ICLR Sagar Shrestha, Xiao Fu
2025	A*	`conf`	Diversified Flow Matching with Translation Identifiability. ICML Sagar Shrestha, Xiao Fu
2025	J	`jnl`	Diversified Flow Matching with Translation Identifiability. CoRR Sagar Shrestha, Xiao Fu
2025	J	`jnl`	Domain-Factored Untrained Deep Prior for Spectrum Cartography. IEEE Signal Process. Lett. Subash Timilsina, Sagar Shrestha, Lei Cheng, Xiao Fu
2025	J	`jnl`	Downlink MIMO Channel Estimation From Bits: Recoverability and Algorithm. IEEE Trans. Signal Process. Rajesh Shrestha, Mingjie Shao, Mingyi Hong, Wing-Kin Ma, Xiao Fu
2025	A*	`conf`	Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning. IJCAI Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao
2025	J	`jnl`	FieldFormer: Self-Supervised Reconstruction of Physical Fields via Tensor Attention Prior. IEEE Trans. Signal Process. Panqi Chen, Siyuan Li, Lei Cheng, Xiao Fu, Yik-Chung Wu, Sergios Theodoridis
2025	Misc	`conf`	Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach. ICASSP Hongcheng Dong, Wenqiang Pu, Rui Zhou, Xiao Fu, Feng Yin
2025	J	`jnl`	Learning From Crowdsourced Noisy Labels: A signal processing perspective. IEEE Signal Process. Mag. Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2025	Misc	`conf`	Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers. ICASSP Le Xu, Lei Cheng, Junting Chen, Wenqiang Pu, Xiao Fu
2025	J	`jnl`	Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View. CoRR Yanmeng Wang, Zhiwen Dai, Shuai Wang, Jian Zhou, Xiao Fu, Tony Q. S. Quek, Tsung-Hui Chang
2025	J	`jnl`	Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach. CoRR Yanmeng Wang, Wenkai Ji, Jian Zhou, Xiao Fu, Tsung-Hui Chang
2025	Misc	`conf`	Under-Counted Matrix Completion Without Detection Features. ICASSP Tri Nguyen, Shahana Ibrahim, Rebecca A. Hutchinson, Xiao Fu
2024	Misc	`conf`	A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. ICASSP Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong
2024	J	`jnl`	Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. CoRR Sagar Shrestha, Xiao Fu
2024	J	`jnl`	Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm. CoRR Rajesh Shrestha, Mingjie Shao, Mingyi Hong, Wing-Kin Ma, Xiao Fu
2024	J	`jnl`	Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. CoRR Yuening Li, Xiao Fu, Junbin Liu, Wing-Kin Ma
2024	A*	`conf`	Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures. NeurIPS Subash Timilsina, Sagar Shrestha, Xiao Fu
2024	J	`jnl`	Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures. CoRR Subash Timilsina, Sagar Shrestha, Xiao Fu
2024	—	`conf`	Labeling Sequential Data From Noisy Annotations. SAM Tim Marrinan, Shahana Ibrahim, Xiao Fu
2024	J	`jnl`	Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2024	A*	`conf`	Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom. NeurIPS Tri Nguyen, Shahana Ibrahim, Xiao Fu
2024	Misc	`conf`	Probabilistic Simplex Component Analysis via Variational Auto-Encoding. ICASSP Yuening Li, Xiao Fu, Wing-Kin Ma
2024	J	`jnl`	Quantized Radio Map Estimation Using Tensor and Deep Generative Models. IEEE Trans. Signal Process. Subash Timilsina, Sagar Shrestha, Xiao Fu
2024	J	`jnl`	Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. IEEE Trans. Computational Imaging Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang
2024	A*	`conf`	Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. ICLR Sagar Shrestha, Xiao Fu
2024	J	`jnl`	Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. CoRR Sagar Shrestha, Xiao Fu
2024	—	`conf`	Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images. SAM Jiahui Song, Sagar Shrestha, Xueshen Li, Yu Gan, Xiao Fu
2023	—	`conf`	Bilinear Hyperspectral Unmixing via Tensor Decomposition. EUSIPCO Meng Ding, Xiao Fu, Xi-Le Zhao
2023	J	`jnl`	Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. IEEE Trans. Signal Process. Sagar Shrestha, Xiao Fu
2023	A*	`conf`	Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. ICML Tri Nguyen, Shahana Ibrahim, Xiao Fu
2023	J	`jnl`	Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. CoRR Tri Nguyen, Shahana Ibrahim, Xiao Fu
2023	A*	`conf`	Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. ICLR Shahana Ibrahim, Tri Nguyen, Xiao Fu
2023	J	`jnl`	Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization. CoRR Shahana Ibrahim, Tri Nguyen, Xiao Fu
2023	—	`conf`	Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design. CAMSAP Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, Xiao Fu
2023	Misc	`conf`	Deep Spectrum Cartography Using Quantized Measurements. ICASSP Subash Timilsina, Sagar Shrestha, Xiao Fu
2023	J	`jnl`	Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Meng Ding, Xiao Fu, Xi-Le Zhao
2023	J	`jnl`	Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning. IEEE Trans. Neural Networks Learn. Syst. Qi Lyu, Xiao Fu
2023	J	`jnl`	On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. Trung Vu, Raviv Raich, Xiao Fu
2023	J	`jnl`	Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. IEEE Trans. Signal Process. Sagar Shrestha, Xiao Fu, Mingyi Hong
2023	J	`jnl`	Quantized Radio Map Estimation Using Tensor and Deep Generative Models. CoRR Subash Timilsina, Sagar Shrestha, Xiao Fu
2023	Misc	`conf`	Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. ICASSP Sagar Shrestha, Xiao Fu, Mingyi Hong
2023	—	`conf`	Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. SPAWC Bingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu, Mingyi Hong
2023	A*	`conf`	Under-Counted Tensor Completion with Neural Incorporation of Attributes. ICML Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
2023	J	`jnl`	Under-Counted Tensor Completion with Neural Incorporation of Attributes. CoRR Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
2022	Misc	`conf`	Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization. ICASSP Sagar Shrestha, Xiao Fu
2022	J	`jnl`	Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. IEEE Trans. Signal Process. Sagar Shrestha, Xiao Fu, Mingyi Hong
2022	J	`jnl`	Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing. CoRR Meng Ding, Xiao Fu, Xi-Le Zhao
2022	J	`jnl`	Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors. IEEE Trans. Geosci. Remote. Sens. Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
2022	J	`jnl`	Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. IEEE Trans. Signal Process. Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2022	—	`conf`	Massive MIMO Channel Estimation via Compressed and Quantized Feedback. IEEECONF Mingjie Shao, Xiao Fu
2022	—	`conf`	Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization. IEEECONF Tri Nguyen, Xiao Fu, Ruiyuan Wu
2022	J	`jnl`	Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. IEEE Trans. Signal Process. Tri Nguyen, Xiao Fu, Ruiyuan Wu
2022	A*	`conf`	On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. ICML Qi Lyu, Xiao Fu
2022	J	`jnl`	On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. CoRR Qi Lyu, Xiao Fu
2022	J	`jnl`	Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. CoRR Sagar Shrestha, Xiao Fu, Mingyi Hong
2022	A*	`conf`	Provable Subspace Identification Under Post-Nonlinear Mixtures. NeurIPS Qi Lyu, Xiao Fu
2022	J	`jnl`	Provable Subspace Identification Under Post-Nonlinear Mixtures. CoRR Qi Lyu, Xiao Fu
2022	J	`jnl`	Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. IEEE Trans. Signal Process. Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2022	A*	`conf`	Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2021	J	`jnl`	Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. CoRR Sagar Shrestha, Xiao Fu
2021	—	`conf`	Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. EUSIPCO Meng Ding, Xiao Fu, Ting-Zhu Huang, Xi-Le Zhao
2021	A*	`conf`	Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. ICML Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. CoRR Shahana Ibrahim, Xiao Fu
2021	Misc	`conf`	Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. ICASSP Sagar Shrestha, Xiao Fu, Mingyi Hong
2021	J	`jnl`	Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. CoRR Sagar Shrestha, Xiao Fu, Mingyi Hong
2021	Misc	`conf`	Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. ICASSP Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021	J	`jnl`	Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors. CoRR Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
2021	J	`jnl`	Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling. IEEE J. Sel. Top. Signal Process. Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao
2021	J	`jnl`	Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. CoRR Qi Lyu, Xiao Fu
2021	J	`jnl`	Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. IEEE Trans. Signal Process. Qi Lyu, Xiao Fu
2021	J	`jnl`	Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2021	Misc	`conf`	Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm. ICASSP Shahana Ibrahim, Xiao Fu
2021	Misc	`conf`	Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. ICASSP Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2021	J	`jnl`	Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. CoRR Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2021	J	`jnl`	Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. IEEE Trans. Knowl. Data Eng. Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
2021	J	`jnl`	Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. CoRR Tri Nguyen, Xiao Fu, Ruiyuan Wu
2021	J	`jnl`	Mixed Membership Graph Clustering via Systematic Edge Query. IEEE Trans. Signal Process. Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. IEEE Trans. Circuits Syst. Video Technol. Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong
2021	J	`jnl`	Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals. IEEE Trans. Signal Process. Shahana Ibrahim, Xiao Fu
2021	A*	`conf`	StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. AAAI Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
2021	J	`jnl`	StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. CoRR Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
2021	J	`jnl`	Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. CoRR Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021	J	`jnl`	Uncovering migration systems through spatio-temporal tensor co-clustering. CoRR Zack W. Almquist, Tri Duc Nguyen, Mikael Sørensen, Xiao Fu, Nicholas D. Sidiropoulos
2021	—	`conf`	VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition. ACSCC Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan
2020	J	`jnl`	Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang
2020	J	`jnl`	Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020	J	`jnl`	Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li
2020	J	`jnl`	Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2020	J	`jnl`	Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment. CoRR Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
2020	Misc	`conf`	Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. ICASSP Kejun Huang, Xiao Fu
2020	J	`jnl`	Mixed Membership Graph Clustering via Systematic Edge Query. CoRR Shahana Ibrahim, Xiao Fu
2020	J	`jnl`	Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020	—	`conf`	Nonlinear Dependent Component Analysis: Identifiability and Algorithm. EUSIPCO Qi Lyu, Xiao Fu
2020	J	`jnl`	Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation. IEEE Trans. Signal Process. Qi Lyu, Xiao Fu
2020	—	`conf`	Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation. SAM Qi Lyu, Xiao Fu
2020	J	`jnl`	On Recoverability of Randomly Compressed Tensors With Low CP Rank. IEEE Signal Process. Lett. Shahana Ibrahim, Xiao Fu, Xingguo Li
2020	J	`jnl`	Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications. IEEE Trans. Signal Process. Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
2020	Misc	`conf`	Recovering Joint PMF from Pairwise Marginals. ACSSC Shahana Ibrahim, Xiao Fu
2020	J	`jnl`	Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals. CoRR Shahana Ibrahim, Xiao Fu
2020	J	`jnl`	Spectrum Cartography via Coupled Block-Term Tensor Decomposition. IEEE Trans. Signal Process. Guoyong Zhang, Xiao Fu, Jun Wang, Xi-Le Zhao, Mingyi Hong
2020	J	`jnl`	Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2020	J	`jnl`	Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2019	—	`conf`	A Simple Algebraic Channel Estimation Method for FDD Massive MIMO Systems. SPAWC Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
2019	J	`jnl`	Algebraic Channel Estimation Algorithms for FDD Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. Cheng Qian, Xiao Fu, Nikolaos D. Sidiropoulos
2019	J	`jnl`	Amplitude Retrieval for Channel Estimation of MIMO Systems With One-Bit ADCs. IEEE Signal Process. Lett. Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
2019	J	`jnl`	Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
2019	J	`jnl`	Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. CoRR Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019	—	`conf`	Block-Term Tensor Decomposition Via Constrained Matrix Factorization. MLSP Xiao Fu, Kejun Huang
2019	Misc	`conf`	Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization. ICASSP Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
2019	Misc	`conf`	Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography. ACSSC Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong
2019	A*	`conf`	Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
2019	J	`jnl`	Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang
2019	A*	`conf`	Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm. ICML Kejun Huang, Xiao Fu
2019	J	`jnl`	Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2019	J	`jnl`	Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. CoRR Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li
2019	—	`conf`	Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach. CAMSAP Guoyong Zhang, Xiao Fu, Kejun Huang, Jun Wang
2019	J	`jnl`	Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2019	J	`jnl`	Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. CoRR Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
2019	—	`conf`	Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization. GlobalSIP Kejun Huang, Xiao Fu
2019	C	`conf`	Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. VCIP Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
2019	J	`jnl`	Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. CoRR Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
2019	J	`jnl`	Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm. CoRR Qi Lyu, Xiao Fu
2019	J	`jnl`	Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. IEEE Signal Process. Mag. Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
2019	—	`conf`	ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP Trung Vu, Raviv Raich, Xiao Fu
2019	Misc	`conf`	Regular Sampling of Tensor Signals: Theory and Application to FMRI. ICASSP Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu
2019	—	`conf`	Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning. DSW Shahana Ibrahim, Xiao Fu
2019	J	`jnl`	Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. IEEE Trans. Signal Process. Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2019	Misc	`conf`	Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
2018	—	`conf`	A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution. SSP Ruiyuan Wu, Qiang Li, Xiao Fu, Wing-Kin Ma
2018	Misc	`conf`	Hi, Bcd! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution. ICASSP Ruiyuan Wu, Chun-Hei Chan, Hoi-To Wai, Wing-Kin Ma, Xiao Fu
2018	Misc	`conf`	Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms. ICASSP Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018	J	`jnl`	Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach. IEEE Trans. Signal Process. Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018	B	`conf`	Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure. ICIP Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018	Misc	`conf`	Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. ICASSP Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2018	A*	`conf`	Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling. ICML Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018	J	`jnl`	Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling. CoRR Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018	J	`jnl`	Learning to Optimize: Training Deep Neural Networks for Interference Management. IEEE Trans. Signal Process. Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos
2018	—	`conf`	Learning-Based Antenna Selection for Multicasting. SPAWC Mohamed Salah Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos
2018	J	`jnl`	Limited Feedback Channel Estimation in Massive MIMO With Non-Uniform Directional Dictionaries. IEEE Trans. Signal Process. Panos N. Alevizos, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang, Aggelos Bletsas
2018	—	`conf`	Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. SPAWC Haoran Sun, Ziping Zhao, Xiao Fu, Mingyi Hong
2018	J	`jnl`	MISO Channel Estimation and Tracking from Received Signal Strength Feedback. IEEE Trans. Signal Process. Tianyu Qiu, Xiao Fu, Nicholas D. Sidiropoulos, Daniel P. Palomar
2018	J	`jnl`	Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. CoRR Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
2018	A*	`conf`	On Convergence of Epanechnikov Mean Shift. AAAI Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2018	J	`jnl`	On Identifiability of Nonnegative Matrix Factorization. IEEE Signal Process. Lett. Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
2018	J	`jnl`	Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. CoRR Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2018	J	`jnl`	Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems. IEEE Trans. Signal Process. Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang
2018	Misc	`conf`	Tensor-Based Parameter Estimation of Double Directional Massive Mimo Channel with Dual-Polarized Antennas. ICASSP Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang
2018	J	`jnl`	Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors. IEEE Trans. Signal Process. Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
2017	Misc	`conf`	A stochastic maximum-likelihood framework for simplex structured matrix factorization. ICASSP Ruiyuan Wu, Wing-Kin Ma, Xiao Fu
2017	A	`conf`	BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos
2017	Misc	`conf`	Directed network topology inference via sparse joint diagonalization. ACSSC Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2017	—	`conf`	Distributed optimal power flow using feasible point pursuit. CAMSAP Ahmed S. Zamzam, Xiao Fu, Emiliano Dall'Anese, Nicholas D. Sidiropoulos
2017	J	`jnl`	Fast Unit-Modulus Least Squares With Applications in Beamforming. IEEE Trans. Signal Process. John Tranter, Nicholas D. Sidiropoulos, Xiao Fu, Ananthram Swami
2017	J	`jnl`	Inexact Alternating Optimization for Phase Retrieval in the Presence of Outliers. IEEE Trans. Signal Process. Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Lei Huang, Junhao Xie
2017	J	`jnl`	Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering. IEEE Trans. Signal Process. Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
2017	J	`jnl`	Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management. CoRR Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
2017	—	`conf`	Learning to optimize: Training deep neural networks for wireless resource management. SPAWC Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
2017	J	`jnl`	Limited Feedback Channel Estimation in Massive MIMO with Non-uniform Directional Dictionaries. CoRR Panos N. Alevizos, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang, Aggelos Bletsas
2017	B	`conf`	Non-uniform directional dictionary-based limited feedback for massive MIMO systems. WiOpt Panos N. Alevizos, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang, Aggelos Bletsas
2017	J	`jnl`	On Convergence of Epanechnikov Mean Shift. CoRR Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2017	J	`jnl`	On Identifiability of Nonnegative Matrix Factorization. CoRR Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos
2017	J	`jnl`	Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization. CoRR Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
2017	J	`jnl`	Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis. IEEE Trans. Signal Process. Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017	Misc	`conf`	Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. ICASSP Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So
2017	J	`jnl`	Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2017	J	`jnl`	Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors. CoRR Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
2017	A*	`conf`	Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering. ICML Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2016	—	`conf`	Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. NIPS Kejun Huang, Xiao Fu, Nikos D. Sidiropoulos
2016	J	`jnl`	Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm. CoRR Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos
2016	A*	`conf`	Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2016	—	`conf`	Fast unit-modulus least squares with applications in transmit beamforming. EUSIPCO John H. Tranter, Nicholas D. Sidiropoulos, Xiao Fu, Ananthram Swami
2016	J	`jnl`	Inexact Alternating Optimization for Phase Retrieval In the Presence of Outliers. CoRR Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Lei Huang, Junhao Xie
2016	—	`conf`	Inexact alternating optimization for phase retrieval with outliers. EUSIPCO Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Lei Huang
2016	J	`jnl`	Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering. CoRR Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
2016	J	`jnl`	Power Spectra Separation via Structured Matrix Factorization. IEEE Trans. Signal Process. Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2016	J	`jnl`	Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering. IEEE Trans. Signal Process. Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma, Nicholas D. Sidiropoulos
2016	Misc	`conf`	Robust volume minimization-based matrix factorization via alternating optimization. ICASSP Xiao Fu, Wing-Kin Ma, Kejun Huang, Nicholas D. Sidiropoulos
2016	J	`jnl`	Robustness Analysis of Structured Matrix Factorization via Self-Dictionary Mixed-Norm Optimization. IEEE Signal Process. Lett. Xiao Fu, Wing-Kin Ma
2016	J	`jnl`	Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches. IEEE Trans. Geosci. Remote. Sens. Xiao Fu, Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan
2016	J	`jnl`	Tensor Decomposition for Signal Processing and Machine Learning. CoRR Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2016	J	`jnl`	Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering. CoRR Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
2015	J	`jnl`	A Factor Analysis Framework for Power Spectra Separation and Multiple Emitter Localization. IEEE Trans. Signal Process. Xiao Fu, Nicholas D. Sidiropoulos, John H. Tranter, Wing-Kin Ma
2015	J	`jnl`	Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain. IEEE Trans. Signal Process. Xiao Fu, Wing-Kin Ma, Kejun Huang, Nicholas D. Sidiropoulos
2015	J	`jnl`	Joint Tensor Factorization and Outlying Slab Suppression With Applications. IEEE Trans. Signal Process. Xiao Fu, Kejun Huang, Wing-Kin Ma, Nicholas D. Sidiropoulos, Rasmus Bro
2015	—	`conf`	Joint factor analysis and latent clustering. CAMSAP Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
2015	J	`jnl`	Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related. IEEE J. Sel. Top. Signal Process. Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias
2015	A*	`conf`	Translation Invariant Word Embeddings. EMNLP Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu
2014	—	`conf`	A robust subspace method for semiblind dictionary-aided hyperspectral unmixing. WHISPERS Xiao Fu, Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan
2014	Misc	`conf`	Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT. ICASSP Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma, John Tranter
2014	J	`jnl`	Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related. CoRR Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias
2014	—	`conf`	Tensor-based power spectra separation and emitter localization for cognitive radio. SAM Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
2013	J	`jnl`	A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources. Signal Process. Ka-Kit Lee, Wing-Kin Ma, Xiao Fu, Tsung-Han Chan, Chong-Yung Chi
2013	Misc	`conf`	Blind separation of convolutive mixtures of speech sources: Exploiting local sparsity. ICASSP Xiao Fu, Wing-Kin Ma
2013	—	`conf`	Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint. EUSIPCO Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias, Marian-Daniel Iordache
2012	Misc	`conf`	A simple closed-form solution for overdetermined blind separation of locally sparse quasi-stationary sources. ICASSP Xiao Fu, Wing-Kin Ma
2009	—	`conf`	Joint power management and beamforming for base stations in Cognitive Radio systems. ISWCS Xiao Fu, Jun Wang, Shaoqian Li