Feng Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Graph Structures

Quadratic Program

Structure Learning

Top Venues

Expert Syst. Appl.

IEEE Trans. Circuits Syst. II Express Briefs

Publications

Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, Charles X. Ling
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces. IEEE Trans. Instrum. Meas. 73 (2024)
Bozhi Yao, Guang Ling, Feng Liu, Ming-Feng Ge
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations. Expert Syst. Appl. 238 (Part A) (2024)
Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Brain Informatics 11 (1) (2024)
Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. BI (2023)
Yongqiang Zheng, Jie Ding, Feng Liu, Dongqing Wang
Adaptive neural decision tree for EEG based emotion recognition. Inf. Sci. 643 (2023)
Wenhui Tu, Guang Ling, Feng Liu, Fuyan Hu, Xiangxiang Song
GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Shihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu
Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. BI (2023)
Shulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu
Prediction of Cannabis Addictive Patients with Graph Neural Networks. BI (2023)
Yuxiang Li, Dongqing Wang, Feng Liu
The Auto-Correlation Function Aided Sparse Support Matrix Machine for EEG-Based Fatigue Detection. IEEE Trans. Circuits Syst. II Express Briefs 70 (2) (2023)
Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon
Extended Electrophysiological Source Imaging with Spatial Graph Filters. MICCAI (1) (2022)
Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu
EEG Source Imaging using GANs with Deep Image Prior. EMBC (2022)
Xinglong Ju, Jay M. Rosenberger, Victoria C. P. Chen, Feng Liu
Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming. Inf. Sci. 597 (2022)
Chang-Duo Liang, Ming-Feng Ge, Jing-Zhe Xu, Zhi-Wei Liu, Feng Liu
Secure and Privacy-Preserving Formation Control for Networked Marine Surface Vehicles With Sampled-Data Interactions. IEEE Trans. Veh. Technol. 71 (2) (2022)
Victoria C. P. Chen, Yuan Zhou, Alireza Fallahi, Amith Viswanatha, Jingmei Yang, Feng Liu, Nilabh S. Ohol, Yasaman Ghasemi, Ashkan Aliabadi Farahani, Jay M. Rosenberger, Jeffrey B. Guild
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. 19 (2) (2022)
Meng Jiao, Feng Liu, Onur Asan, Roshanak Nilchiani, Xinglong Ju, Jing Xiang
Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features. BI (2022)
Li Ding, Shihao Nie, Wenqu Li, Ping Hu, Feng Liu
Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data. IEEE Trans. Smart Grid 12 (4) (2021)
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. IEEE Trans. Medical Imaging 40 (1) (2021)
Xinglong Ju, Victoria C. P. Chen, Jay M. Rosenberger, Feng Liu
Fast knot optimization for multivariate adaptive regression splines using hill climbing methods. Expert Syst. Appl. 171 (2021)
Meng Jiao, Dongqing Wang, Yan Yang, Feng Liu
More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine. Eng. Appl. Artif. Intell. 104 (2021)
Jingmei Yang, Feng Liu, Boyu Wang, Chao-Yang Chen, Timothy Church, Lee Dukes, Jeffrey O. Smith
Blood Pressure States Transition Inference Based on Multi-State Markov Model. IEEE J. Biomed. Health Informatics 25 (1) (2021)
Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. IEEE Trans. Cybern. 51 (10) (2021)
Chao-Yang Chen, Feng Liu, Lianghong Wu, Huaicheng Yan, Weihua Gui, Harry Eugene Stanley
Tracking Performance Limitations of Networked Control Systems With Repeated Zeros and Poles. IEEE Trans. Autom. Control. 66 (4) (2021)
Ying Chen, Feng Liu, Jay M. Rosenberger, Victoria C. P. Chen, Asama Kulvanitchaiyanunt, Yuan Zhou
Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization. Comput. Oper. Res. 124 (2020)
Qiang Lai, Paul Didier Kamdem Kuate, Feng Liu, Herbert Ho-Ching Iu
An Extremely Simple Chaotic System With Infinitely Many Coexisting Attractors. IEEE Trans. Circuits Syst. II Express Briefs (6) (2020)
Feng Liu, Emily P. Stephen, Michael J. Prerau, Patrick L. Purdon
Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. NER (2019)
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. CoRR (2019)
Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. BI (2018)
Rahilsadat Hosseini, Feng Liu, Shouyi Wang
Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series. BI (2018)
Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. BI (2017)
Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger
EEG source imaging based on spatial and temporal graph structures. IPTA (2017)
Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. AAAI (2017)
Feng Liu, Rahilsadat Hosseini, Jay M. Rosenberger, Shouyi Wang, Jianzhong Su
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. MICCAI (1) (2017)
Feng Liu, Jay M. Rosenberger, Yifei Lou, Rahilsadat Hosseini, Jianzhong Su, Shouyi Wang
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination. IEEE Trans. Big Data 3 (4) (2017)
Feng Liu, Wei Xiang, Shouyi Wang, Bradley Lega
Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries. BIH (2016)
Feng Liu, Zhifang Wang
Offshore Wind Farm Layout Optimization Using Adapted Genetic Algorithm: A different perspective. CoRR (2014)
Juan Li, Feng Liu, Zhi-Hong Guan, Tao Li
A new chaotic Hopfield neural network and its synthesis via parameter switchings. Neurocomputing 117 (2013)