Feng Liu

Orcid: 0000-0002-5225-8199

Affiliations:
  • Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
  • University of Texas at Arlington, Department of Industrial, Manufacturing, and Systems Engineering, TX, USA (PhD 2018)
  • Huazhong University of Science and Technology, Wuhan, China (former)


According to our database1, Feng Liu authored at least 35 papers between 2013 and 2024.

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Bibliography

2024
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations.
Expert Syst. Appl., March, 2024

Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas., 2024

2023
The Auto-Correlation Function Aided Sparse Support Matrix Machine for EEG-Based Fatigue Detection.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Adaptive neural decision tree for EEG based emotion recognition.
Inf. Sci., 2023

Rejuvenating Classical Source Localization Methods with Spatial Graph Filters.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Prediction of Cannabis Addictive Patients with Graph Neural Networks.
Proceedings of the Brain Informatics - 16th International Conference, 2023

MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
Secure and Privacy-Preserving Formation Control for Networked Marine Surface Vehicles With Sampled-Data Interactions.
IEEE Trans. Veh. Technol., 2022

An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities.
IEEE Trans Autom. Sci. Eng., 2022

Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming.
Inf. Sci., 2022

Extended Electrophysiological Source Imaging with Spatial Graph Filters.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EEG Source Imaging using GANs with Deep Image Prior.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features.
Proceedings of the Brain Informatics - 15th International Conference, 2022

2021
Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data.
IEEE Trans. Smart Grid, 2021

Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.
IEEE Trans. Medical Imaging, 2021

Blood Pressure States Transition Inference Based on Multi-State Markov Model.
IEEE J. Biomed. Health Informatics, 2021

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern., 2021

Tracking Performance Limitations of Networked Control Systems With Repeated Zeros and Poles.
IEEE Trans. Autom. Control., 2021

Fast knot optimization for multivariate adaptive regression splines using hill climbing methods.
Expert Syst. Appl., 2021

More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine.
Eng. Appl. Artif. Intell., 2021

2020
An Extremely Simple Chaotic System With Infinitely Many Coexisting Attractors.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization.
Comput. Oper. Res., 2020

2019
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.
CoRR, 2019

Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.
Proceedings of the Brain Informatics - International Conference, 2018

Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series.
Proceedings of the Brain Informatics - International Conference, 2018

2017
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination.
IEEE Trans. Big Data, 2017

Supervised Discriminative EEG Brain Source Imaging with Graph Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

EEG source imaging based on spatial and temporal graph structures.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain.
Proceedings of the Brain Informatics - International Conference, 2017

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries.
Proceedings of the Brain Informatics and Health - International Conference, 2016

2014
Offshore Wind Farm Layout Optimization Using Adapted Genetic Algorithm: A different perspective.
CoRR, 2014

2013
A new chaotic Hopfield neural network and its synthesis via parameter switchings.
Neurocomputing, 2013


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