Xiao Fu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 157

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

ICML

Publications

Sagar Shrestha, Xiao Fu
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. CoRR (2024)
Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR (2024)
Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong
A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. ICASSP (2024)
Sagar Shrestha, Xiao Fu
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. ICLR (2024)
Yuening Li, Xiao Fu, Junbin Liu, Wing-Kin Ma
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework. CoRR (2024)
Yuening Li, Xiao Fu, Wing-Kin Ma
Probabilistic Simplex Component Analysis via Variational Auto-Encoding. ICASSP (2024)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. IEEE Trans. Signal Process. 71 (2023)
Trung Vu, Raviv Raich, Xiao Fu
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. 71 (2023)
Tri Nguyen, Shahana Ibrahim, Xiao Fu
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. ICML (2023)
Subash Timilsina, Sagar Shrestha, Xiao Fu
Quantized Radio Map Estimation Using Tensor and Deep Generative Models. CoRR (2023)
Bingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu, Mingyi Hong
Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. SPAWC (2023)
Subash Timilsina, Sagar Shrestha, Xiao Fu
Deep Spectrum Cartography Using Quantized Measurements. ICASSP (2023)
Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, Xiao Fu
Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design. CAMSAP (2023)
Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
Under-Counted Tensor Completion with Neural Incorporation of Attributes. CoRR (2023)
Shahana Ibrahim, Tri Nguyen, Xiao Fu
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. ICLR (2023)
Meng Ding, Xiao Fu, Xi-Le Zhao
Bilinear Hyperspectral Unmixing via Tensor Decomposition. EUSIPCO (2023)
Sagar Shrestha, Xiao Fu
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. IEEE Trans. Signal Process. 71 (2023)
Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
Under-Counted Tensor Completion with Neural Incorporation of Attributes. ICML (2023)
Meng Ding, Xiao Fu, Xi-Le Zhao
Fast and Structured Block-Term Tensor Decomposition for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Qi Lyu, Xiao Fu
Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. ICASSP (2023)
Shahana Ibrahim, Tri Nguyen, Xiao Fu
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization. CoRR (2023)
Tri Nguyen, Shahana Ibrahim, Xiao Fu
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. CoRR (2023)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. IEEE Trans. Signal Process. 70 (2022)
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR (2022)
Qi Lyu, Xiao Fu
Provable Subspace Identification Under Post-Nonlinear Mixtures. CoRR (2022)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. CoRR (2022)
Tri Nguyen, Xiao Fu, Ruiyuan Wu
Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization. IEEECONF (2022)
Tri Nguyen, Xiao Fu, Ruiyuan Wu
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. IEEE Trans. Signal Process. 70 (2022)
Meng Ding, Xiao Fu, Xi-Le Zhao
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing. CoRR (2022)
Qi Lyu, Xiao Fu
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. CoRR (2022)
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. IEEE Trans. Signal Process. 70 (2022)
Sagar Shrestha, Xiao Fu
Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization. ICASSP (2022)
Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. IEEE Trans. Signal Process. 70 (2022)
Qi Lyu, Xiao Fu
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis. ICML (2022)
Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors. CoRR (2021)
Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. CoRR (2021)
Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan
VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition. ACSCC (2021)
Qi Lyu, Xiao Fu
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. IEEE Trans. Signal Process. 69 (2021)
Meng Ding, Xiao Fu, Ting-Zhu Huang, Xi-Le Zhao
Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. EUSIPCO (2021)
Shahana Ibrahim, Xiao Fu
Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals. IEEE Trans. Signal Process. 69 (2021)
Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong
Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 31 (2) (2021)
Shahana Ibrahim, Xiao Fu
Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm. ICASSP (2021)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. ICASSP (2021)
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. ICASSP (2021)
Shahana Ibrahim, Xiao Fu
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. ICML (2021)
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR (2021)
Sagar Shrestha, Xiao Fu, Mingyi Hong
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. CoRR (2021)
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. ICASSP (2021)
Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao
Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Shahana Ibrahim, Xiao Fu
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. CoRR (2021)
Shahana Ibrahim, Xiao Fu
Mixed Membership Graph Clustering via Systematic Edge Query. IEEE Trans. Signal Process. 69 (2021)
Tri Nguyen, Xiao Fu, Ruiyuan Wu
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. CoRR (2021)
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. CoRR (2021)
Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. CoRR (2021)
Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. AAAI (2021)
Zack W. Almquist, Tri Duc Nguyen, Mikael Sørensen, Xiao Fu, Nicholas D. Sidiropoulos
Uncovering migration systems through spatio-temporal tensor co-clustering. CoRR (2021)
Qi Lyu, Xiao Fu
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. CoRR (2021)
Sagar Shrestha, Xiao Fu
Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. CoRR (2021)
Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. 58 (10) (2020)
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. 37 (5) (2020)
Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Kejun Huang, Xiao Fu
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. ICASSP (2020)
Qi Lyu, Xiao Fu
Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation. SAM (2020)
Shahana Ibrahim, Xiao Fu, Xingguo Li
On Recoverability of Randomly Compressed Tensors With Low CP Rank. IEEE Signal Process. Lett. 27 (2020)
Shahana Ibrahim, Xiao Fu
Recovering Joint PMF from Pairwise Marginals. ACSSC (2020)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. 68 (2020)
Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. 68 (2020)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. 68 (2020)
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR (2020)
Qingjiang Shi, Mingyi Hong, Xiao Fu, Tsung-Hui Chang
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications. IEEE Trans. Signal Process. 68 (2020)
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment. CoRR (2020)
Shahana Ibrahim, Xiao Fu
Mixed Membership Graph Clustering via Systematic Edge Query. CoRR (2020)
Qi Lyu, Xiao Fu
Nonlinear Dependent Component Analysis: Identifiability and Algorithm. EUSIPCO (2020)
Guoyong Zhang, Xiao Fu, Jun Wang, Xi-Le Zhao, Mingyi Hong
Spectrum Cartography via Coupled Block-Term Tensor Decomposition. IEEE Trans. Signal Process. 68 (2020)
Shahana Ibrahim, Xiao Fu
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals. CoRR (2020)
Qi Lyu, Xiao Fu
Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation. IEEE Trans. Signal Process. 68 (2020)
Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. CoRR (2019)
Qi Lyu, Xiao Fu
Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm. CoRR (2019)
Shahana Ibrahim, Xiao Fu
Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning. DSW (2019)
Kejun Huang, Xiao Fu
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegative Matrix Factorization. GlobalSIP (2019)
Guoyong Zhang, Xiao Fu, Kejun Huang, Jun Wang
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach. CAMSAP (2019)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. IEEE Signal Process. Mag. 36 (2) (2019)
Guoyong Zhang, Xiao Fu, Jun Wang, Mingyi Hong
Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography. ACSSC (2019)
Cheng Qian, Xiao Fu, Nikolaos D. Sidiropoulos
Algebraic Channel Estimation Algorithms for FDD Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. 13 (5) (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR (2019)
Kejun Huang, Xiao Fu
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm. ICML (2019)
Ruiyuan Wu, Wing-Kin Ma, Xiao Fu, Qiang Li
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation. CoRR (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC (2019)
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS (2019)
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. CoRR (2019)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. VCIP (2019)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. IEEE Trans. Signal Process. 67 (2) (2019)
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
A Simple Algebraic Channel Estimation Method for FDD Massive MIMO Systems. SPAWC (2019)
Xiao Fu, Kejun Huang
Block-Term Tensor Decomposition Via Constrained Matrix Factorization. MLSP (2019)
Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiao Fu