Xingguo Li

According to our database1, Xingguo Li authored at least 58 papers between 2004 and 2023.

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Bibliography

2023
Exploration of a network security situational awareness model based on multisource data fusion.
Neural Comput. Appl., December, 2023

2022
Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

2020
A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging.
IEEE Trans. Signal Process., 2020

On Recoverability of Randomly Compressed Tensors With Low CP Rank.
IEEE Signal Process. Lett., 2020

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis.
BMC Medical Informatics Decis. Mak., 2020

Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Computation and Generalization of Generative Adversarial Imitation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Generalization Bounds of a Family of Recurrent Neural Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.
IEEE Trans. Inf. Theory, 2019

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019

Research on large data intelligent search engine based on multilayer perceptive botnet algorithm.
J. Intell. Fuzzy Syst., 2019

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing.
CoRR, 2019

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties.
CoRR, 2019

Real-Time Simulation and Optimization of Elastic Aircraft Vehicle Based on Multi-GPU Workstation.
IEEE Access, 2019

Discovering and Visualizing Knowledge Evolution of Chronic Disease Research Driven by Emerging Technologies.
IEEE Access, 2019

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NOODL: Provable Online Dictionary Learning and Sparse Coding.
Proceedings of the 7th International Conference on Learning Representations, 2019

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Sketching Dictionary Based Robust PCA in Large Matrices.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond.
CoRR, 2018

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization.
CoRR, 2018

The Effects of Transshipment Link on the Design of Spare Parts Network With Time-Window Based Service Level.
IEEE Access, 2018

Towards Black-box Iterative Machine Teaching.
Proceedings of the 35th International Conference on Machine Learning, 2018

Robust PCA via Dictionary Based Outlier Pursuit.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
J. Mach. Learn. Res., 2017

Visualizing the knowledge structure and evolution of big data research in healthcare informatics.
Int. J. Medical Informatics, 2017

Botnet Detection Technology Based on DNS.
Future Internet, 2017

Deep Hyperspherical Learning.
CoRR, 2017

Towards Black-box Iterative Machine Teaching.
CoRR, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
CoRR, 2017

Deep Hyperspherical Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Near Optimal Sketching of Low-Rank Tensor Regression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Communication-Efficient distributed optimization for sparse learning via two-way truncation.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Robust Low-Complexity methods for matrix column outlier identification.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Target-based hyperspectral demixing via generalized robust PCA.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.
CoRR, 2016

A First Order Free Lunch for SQRT-Lasso.
CoRR, 2016

Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices.
CoRR, 2016

A refined analysis for the sample complexity of adaptive compressive outlier sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A dictionary based generalization of robust PCA.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Robust PCA via tensor outlier pursuit.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling.
IEEE Trans. Signal Process., 2015

The flare package for high dimensional linear regression and precision matrix estimation in R.
J. Mach. Learn. Res., 2015

Outlier identification via randomized adaptive compressive sampling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Locating salient group-structured image features via adaptive compressive sensing.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2012
Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants.
Expert Syst. Appl., 2012

2010
Intelligent Technique for Knowledge Reuse of Dental Medical Records Based on Case-Based Reasoning.
J. Medical Syst., 2010

A Semantic Web Service Composition Method Based on an Enhanced Planning Graph.
Proceedings of the International Conference on E-Business and E-Government, 2010

2009
To create neuro-controlled game opponent from UCT-created data.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2007
Improved LLE Algorithm for Motion Analysis.
Proceedings of the Advanced Parallel Processing Technologies, 7th International Symposium, 2007

2004
LLE Based Gait Analysis and Recognition.
Proceedings of the Advances in Biometric Person Authentication, 2004


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