Feng Liu
Orcid: 0000-0002-5225-8199Affiliations:
- Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- Massachusetts Institute of Technology, Picower Institute of Technology, Cambridge, MA, USA (2018 - 2021)
- Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA (2018 - 2020)
- 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 45 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation.
Brain Informatics, December, 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
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG.
NeuroImage, 2024
Application of uniform experimental design theory to multi-strategy improved sparrow search algorithm for UAV path planning.
Expert Syst. Appl., 2024
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data.
CoRR, 2024
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks.
CoRR, 2024
M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality.
Comput. Biol. Medicine, 2024
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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
Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features.
CoRR, 2023
Proceedings of the Brain Informatics - 16th International Conference, 2023
Proceedings of the Brain Informatics - 16th International Conference, 2023
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
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
Neurocomputing, 2013