Xiao Fu
Orcid: 0000-0003-4847-9586Affiliations:
- Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA
- University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- The Chinese University of Hong Kong, Electronic Engineering, Shatin, Hong Kong (PhD 2014)
According to our database1,
Xiao Fu
authored at least 135 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Computational Imaging, 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach.
CoRR, 2024
2023
Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares.
IEEE Trans. Signal Process., 2023
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning.
IEEE Trans. Signal Process., 2023
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective.
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.
IEEE Trans. Signal Process., 2022
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach.
IEEE Trans. Signal Process., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis.
Proceedings of the International Conference on Machine Learning, 2022
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder.
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Process., 2021
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks.
IEEE Trans. Knowl. Data Eng., 2021
Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
IEEE Trans. Circuits Syst. Video Technol., 2021
IEEE J. Sel. Top. Signal Process., 2021
CoRR, 2021
Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis.
CoRR, 2021
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective.
CoRR, 2021
CoRR, 2021
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization.
Proceedings of the 38th International Conference on Machine Learning, 2021
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment.
Proceedings of the IEEE International Conference on Acoustics, 2021
Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2021
Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection.
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications.
IEEE Trans. Signal Process., 2020
Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation.
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices.
IEEE Trans. Signal Inf. Process. over Networks, 2020
IEEE Trans. Geosci. Remote. Sens., 2020
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020
IEEE Signal Process. Lett., 2020
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020
Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications.
IEEE Signal Process. Mag., 2019
IEEE Signal Process. Lett., 2019
IEEE J. Sel. Top. Signal Process., 2019
Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm.
CoRR, 2019
CoRR, 2019
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning.
Proceedings of the IEEE Data Science Workshop, 2019
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
Limited Feedback Channel Estimation in Massive MIMO With Non-Uniform Directional Dictionaries.
IEEE Trans. Signal Process., 2018
IEEE Signal Process. Lett., 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling.
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Tensor-Based Parameter Estimation of Double Directional Massive Mimo Channel with Dual-Polarized Antennas.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017
Learning to optimize: Training deep neural networks for wireless resource management.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
A stochastic maximum-likelihood framework for simplex structured matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Trans. Signal Process., 2016
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering.
IEEE Trans. Signal Process., 2016
IEEE Trans. Geosci. Remote. Sens., 2016
Robustness Analysis of Structured Matrix Factorization via Self-Dictionary Mixed-Norm Optimization.
IEEE Signal Process. Lett., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
A Factor Analysis Framework for Power Spectra Separation and Multiple Emitter Localization.
IEEE Trans. Signal Process., 2015
Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain.
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related.
IEEE J. Sel. Top. Signal Process., 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources.
Signal Process., 2013
Blind separation of convolutive mixtures of speech sources: Exploiting local sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2013
Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint.
Proceedings of the 21st European Signal Processing Conference, 2013
2012
A simple closed-form solution for overdetermined blind separation of locally sparse quasi-stationary sources.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012