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ORCIDFeng Liu 0011
Person information
- affiliation: Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- affiliation (2018 - 2021): Massachusetts Institute of Technology, Picower Institute of Technology, Cambridge, MA, USA
- affiliation (2018 - 2020): Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- affiliation (PhD 2018): University of Texas at Arlington, Department of Industrial, Manufacturing, and Systems Engineering, TX, USA
- affiliation (former): Huazhong University of Science and Technology, Wuhan, China
Other persons with the same name
- Feng Liu — disambiguation page
- Feng Liu 0001
![[0000-0002-7828-2090]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7828-2090")
— Chinese Academy of Sciences, State Key Laboratory of Information Security, Institute of Software, Beijing, China - Feng Liu 0002 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Feng Liu 0003 (aka: Feng (Alex) Liu) — University of Melbourne, School of Mathematics and Statistics, Australia (and 2 more)
- Feng Liu 0004 — Shanghai Maritime University, College of Information Engineering, China
- Feng Liu 0005 — The University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Feng Liu 0006 — Nanjing University, Department of Physics, China
- Feng Liu 0007 — Chinese Academy of Sciences, State Key Laboratory of Membrane Biology, Institute of Zoology, Beijing, China
- Feng Liu 0008 — Hefei University of Technology, School of Economics / Research Center of Industry Information, China
- Feng Liu 0009 — Beihang University, Department of School of Astronautics, Beijing, China (and 1 more)
- Feng Liu 0010 — Beihang University, School of Electronics and Information Engineering, Beijing, China (and 1 more)
- Feng Liu 0012 — Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China (and 1 more)
- Feng Liu 0013 — Shenzhen University, School of Computer Science and Software Engineering, China (and 2 more)
- Feng Liu 0014 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Feng Liu 0015 — Portland State University, Computer Science Department, OR, USA (and 2 more)
- Feng Liu 0016 — Avaya Labs Research, Basking Ridge, NJ, USA
- Feng Liu 0017 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Feng Liu 0018 — Nanjing University of Finance and Economics, School of Information Engineering, China
- Feng Liu 0019 — Southwest University, Faculty of Materials and Energy, Institute for Clean Energy and Advanced Materials, Chongqing, China
- Feng Liu 0020 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China (and 1 more)
- Feng Liu 0021 — Ludwig Maximilians University Munich, Germany
- Feng Liu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Feng Liu 0023 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Feng Liu 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
- Feng Liu 0025 — Xidian University, Key Laboratory of Antennas and Microwave Technologies, Xi'an, China
- Feng Liu 0026 — Harbin Engineering University, College of Shipbuilding Engineering, Harbin, China
- Feng Liu 0027 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Feng Liu 0028 — Nanjing University of Posts and Telecommunications, Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing, China
- Feng Liu 0029 — National University of Defense Technology, School of Computer Science, National Lab of Parallel Distributed Processing, Changsha, China
- Feng Liu 0030 — Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science, Beijing, China (and 2 more)
- Feng Liu 0031 — Vrije Universiteit Brussel, Computational Modeling Lab, Brussels, Belgium
- Feng Liu 0032 — National University of Defense Technology, College of Electronic Engineering, Hefei, China
- Feng Liu 0033 — Columbia University Medical Center, Department of Psychiatry, New York, NY, USA (and 1 more)
- Feng Liu 0034 — Harbin Institute of Technology, Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China
- Feng Liu 0035 — Tianjin Medical University, Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin, China (and 1 more)
- Feng Liu 0036 — Deepwise AI Lab, Beijing, China (and 2 more)
- Feng Liu 0037 — Michigan State University, Department of Computer Science and Engineering, Computer Vision Lab, East Lansing, MI, USA (and 1 more)
- Feng Liu 0038 — Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 2 more)
- Feng Liu 0039 — East China Normal University, China
- Feng Liu 0040 — Huawei Munich Research Center, Germany
- Feng Liu 0041 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Feng Liu 0042 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
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2020 – today
- 2024
[j23]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): 8 (2024)- [j22]Junde Chen, Qing Li, Feng Liu, Yuxin Wen:
M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. Comput. Biol. Medicine 183: 109237 (2024) - [j21]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): 121714 (2024) - [j20]Lianyu Cheng, Guang Ling, Feng Liu, Ming-Feng Ge:
Application of uniform experimental design theory to multi-strategy improved sparrow search algorithm for UAV path planning. Expert Syst. Appl. 255: 124849 (2024) - [j19]Meng Jiao, Xiaochen Xian, Boyu Wang, Yu Zhang, Shihao Yang, Spencer C. Chen, Hai Sun, Feng Liu:
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG. NeuroImage 299: 120802 (2024) - [j18]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: 1-10 (2024) - [c17]Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng:
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CIKM 2024: 3974-3978 - [c16]Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung:
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. CIKM 2024: 5244-5248 - [c15]Jun-En Ding, Chien-Chin Hsu, Feng Liu:
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features. ISBI 2024: 1-5 - [i7]Jun-En Ding, Shihao Yang, Anna Zilverstand, Feng Liu:
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. CoRR abs/2403.00033 (2024) - [i6]Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-fu Chen, Feng Liu, Fang-Ming Hung:
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR abs/2403.04785 (2024) - [i5]Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung:
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. CoRR abs/2406.18087 (2024) - [i4]Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng:
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CoRR abs/2407.12309 (2024) - 2023
- [j17]Yongqiang Zheng, Jie Ding, Feng Liu, Dongqing Wang:
Adaptive neural decision tree for EEG based emotion recognition. Inf. Sci. 643: 119160 (2023) - [j16]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): 836-840 (2023) - [j15]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): 2945-2958 (2023) - [c14]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: 273-285 - [c13]Shihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu:
Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. BI 2023: 286-296 - [c12]Shulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu:
Prediction of Cannabis Addictive Patients with Graph Neural Networks. BI 2023: 297-307 - [e1]Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang:
Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings. Lecture Notes in Computer Science 13974, Springer 2023, ISBN 978-3-031-43074-9 [contents] - [i3]Jun-En Ding, Chien-Chin Hsu, Feng Liu:
Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features. CoRR abs/2311.14902 (2023) - 2022
- [j14]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: 38-52 (2022) - [j13]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): 586-602 (2022) - [j12]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): 1307-1318 (2022) - [c11]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: 175-183 - [c10]Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu:
EEG Source Imaging using GANs with Deep Image Prior. EMBC 2022: 572-575 - [c9]Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon:
Extended Electrophysiological Source Imaging with Spatial Graph Filters. MICCAI (1) 2022: 99-109 - 2021
- [j11]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: 104407 (2021) - [j10]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: 114565 (2021) - [j9]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): 1902-1909 (2021) - [j8]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): 5008-5020 (2021) - [j7]Jingmei Yang, Feng Liu, Boyu Wang, Chaoyang 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): 237-246 (2021) - [j6]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): 321-334 (2021) - [j5]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): 3448-3457 (2021) - 2020
- [j4]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: 105032 (2020) - [j3]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 67-II(6): 1129-1133 (2020)
2010 – 2019
- 2019
- [c8]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: 299-302 - [i2]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 abs/1906.02252 (2019) - 2018
- [c7]Rahilsadat Hosseini, Feng Liu, Shouyi Wang:
Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series. BI 2018: 270-281 - [c6]Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger:
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. BI 2018: 304-316 - 2017
- [j2]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): 378-391 (2017) - [c5]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: 1431-1437 - [c4]Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su:
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. BI 2017: 59-71 - [c3]Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger:
EEG source imaging based on spatial and temporal graph structures. IPTA 2017: 1-6 - [c2]Feng Liu, Rahilsadat Hosseini, Jay M. Rosenberger, Shouyi Wang, Jianzhong Su:
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. MICCAI (1) 2017: 495-504 - 2016
- [c1]Feng Liu, Wei Xiang, Shouyi Wang, Bradley Lega:
Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries. BIH 2016: 262-273 - 2014
- [i1]Feng Liu, Zhifang Wang:
Offshore Wind Farm Layout Optimization Using Adapted Genetic Algorithm: A different perspective. CoRR abs/1403.7178 (2014) - 2013
- [j1]Juan Li, Feng Liu, Zhi-Hong Guan, Tao Li:
A new chaotic Hopfield neural network and its synthesis via parameter switchings. Neurocomputing 117: 33-39 (2013)
Coauthor Index
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