A new chaotic Hopfield neural network and its synthesis via parameter switchings. - Juan Li; Feng Liu 011; Zhi-Hong Guan; Tao Li 017 (Neurocomputing, 2013)

Offshore Wind Farm Layout Optimization Using Adapted Genetic Algorithm: A different perspective. - Feng Liu 011; Zhifang Wang (CoRR, 2014)

Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries. - Feng Liu 011; Wei Xiang; Shouyi Wang; Bradley Lega (BIH, 2016)

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. - Feng Liu 011; Shouyi Wang; Jay M. Rosenberger; Jianzhong Su; Hanli Liu (AAAI, 2017)

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. - Feng Liu 011; Jing Qin 003; Shouyi Wang; Jay M. Rosenberger; Jianzhong Su (BI, 2017)

EEG source imaging based on spatial and temporal graph structures. - Jing Qin 003; Feng Liu 011; Shouyi Wang; Jay M. Rosenberger (IPTA, 2017)

Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. - Feng Liu 011; Rahilsadat Hosseini; Jay M. Rosenberger; Shouyi Wang; Jianzhong Su (MICCAI (1), 2017)

The Optimization and Characterization of an RNA-Cleaving Fluorogenic DNAzyme Probe for MDA-MB-231 Cell Detection. - Pengcheng Xue; Shengnan He; Yu Mao; Long Qu; Feng Liu 011; Chunyan Tan; Yuyang Jiang; Ying Tan (Sensors, 2017)

Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination. - Feng Liu 011; Jay M. Rosenberger; Yifei Lou; Rahilsadat Hosseini; Jianzhong Su; Shouyi Wang (IEEE Trans. Big Data, 2017)

Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series. - Rahilsadat Hosseini; Feng Liu 011; Shouyi Wang (BI, 2018)

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. - Feng Liu 011; Shouyi Wang; Jing Qin 003; Yifei Lou; Jay M. Rosenberger (BI, 2018)

Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. - Feng Liu 011; Emily P. Stephen; Michael J. Prerau; Patrick L. Purdon (NER, 2019)

Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. - Feng Liu 011; Li Wang 033; Yifei Lou; Ren-Cang Li; Patrick L. Purdon (CoRR, 2019)

Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization. - Ying Chen; Feng Liu 011; Jay M. Rosenberger; Victoria C. P. Chen; Asama Kulvanitchaiyanunt; Yuan Zhou (Comput. Oper. Res., 2020)

An Extremely Simple Chaotic System With Infinitely Many Coexisting Attractors. - Qiang Lai; Paul Didier Kamdem Kuate; Feng Liu 011; Herbert Ho-Ching Iu (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine. - Meng Jiao; Dongqing Wang; Yan Yang; Feng Liu 011 (Eng. Appl. Artif. Intell., 2021)

Fast knot optimization for multivariate adaptive regression splines using hill climbing methods. - Xinglong Ju; Victoria C. P. Chen; Jay M. Rosenberger; Feng Liu 011 (Expert Syst. Appl., 2021)

Tracking Performance Limitations of Networked Control Systems With Repeated Zeros and Poles. - Chao-Yang Chen 001; Feng Liu 011; Lianghong Wu; Huaicheng Yan 001; Weihua Gui 001; Harry Eugene Stanley (IEEE Trans. Autom. Control., 2021)

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces. - Boyu Wang 004; Chi Man Wong; Zhao Kang 001; Feng Liu 011; Changjian Shui; Feng Wan; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

Blood Pressure States Transition Inference Based on Multi-State Markov Model. - Jingmei Yang; Feng Liu 011; Boyu Wang 004; Chaoyang Chen 001; Timothy Church; Lee Dukes; Jeffrey O. Smith (IEEE J. Biomed. Health Informatics, 2021)

Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. - Feng Liu 011; Li Wang 033; Yifei Lou; Ren-Cang Li; Patrick L. Purdon (IEEE Trans. Medical Imaging, 2021)

Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data. - Li Ding 013; Shihao Nie; Wenqu Li; Ping Hu; Feng Liu 011 (IEEE Trans. Smart Grid, 2021)

Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features. - Meng Jiao; Feng Liu 011; Onur Asan; Roshanak Nilchiani; Xinglong Ju; Jing Xiang (BI, 2022)

EEG Source Imaging using GANs with Deep Image Prior. - Yaxin Guo; Meng Jiao; Guihong Wan; Jing Xiang; Shouyi Wang; Feng Liu 011 (EMBC, 2022)

Extended Electrophysiological Source Imaging with Spatial Graph Filters. - Feng Liu 011; Guihong Wan; Yevgeniy R. Semenov; Patrick L. Purdon (MICCAI (1), 2022)

Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming. - Xinglong Ju; Jay M. Rosenberger; Victoria C. P. Chen; Feng Liu 011 (Inf. Sci., 2022)

An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities. - Victoria C. P. Chen; Yuan Zhou; Alireza Fallahi; Amith Viswanatha; Jingmei Yang; Feng Liu 011; Nilabh S. Ohol; Yasaman Ghasemi; Ashkan Aliabadi Farahani; Jay M. Rosenberger; Jeffrey B. Guild (IEEE Trans Autom. Sci. Eng., 2022)

Secure and Privacy-Preserving Formation Control for Networked Marine Surface Vehicles With Sampled-Data Interactions. - Chang-Duo Liang; Ming-Feng Ge; Jing-Zhe Xu; Zhi-Wei Liu 002; Feng Liu 011 (IEEE Trans. Veh. Technol., 2022)

MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. - Meng Jiao; Shihao Yang 001; Boyu Wang 004; Xiaochen Xian; Yevgeniy R. Semenov; Guihong Wan; Feng Liu 011 (BI, 2023)

Prediction of Cannabis Addictive Patients with Graph Neural Networks. - Shulin Wen; Shihao Yang 001; Xinglong Ju; Ting Liao; Feng Liu 011 (BI, 2023)

Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. - Shihao Yang 001; Meng Jiao; Jing Xiang; Daphne Kalkanis; Hai Sun; Feng Liu 011 (BI, 2023)

Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (CoRR, 2023)

Adaptive neural decision tree for EEG based emotion recognition. - Yongqiang Zheng; Jie Ding 006; Feng Liu 011; Dongqing Wang (Inf. Sci., 2023)

GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression. - Wenhui Tu; Guang Ling; Feng Liu 011; Fuyan Hu; Xiangxiang Song (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

The Auto-Correlation Function Aided Sparse Support Matrix Machine for EEG-Based Fatigue Detection. - Yuxiang Li; Dongqing Wang; Feng Liu 011 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. - Chun-Chieh Liao; Wei-Ting Kuo; I-Hsuan Hu; Yen-Chen Shih; Jun-En Ding; Feng Liu 011; Fang-Ming Hung (CIKM, 2024)

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. - Phan Nguyen Minh Thao; Cong-Tinh Dao; Chenwei Wu 006; Jian-Zhe Wang; Shun Liu; Jun-En Ding; David S. Restrepo; Feng Liu 011; Fang-Ming Hung; Wen-Chih Peng (CIKM, 2024)

Detection of High-Frequency Oscillations from Intracranial EEG Data with Switching State Space Model. - Zeyu Gu; Shihao Yang 001; Zhongyuan Yu; Feng Liu 011 (EMBC, 2024)

Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (ISBI, 2024)

M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. - Junde Chen; Qing Li 069; Feng Liu 011; Yuxin Wen (Comput. Biol. Medicine, 2024)

Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Feng Liu 011 (CoRR, 2024)

Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. - Jun-En Ding; Phan Nguyen Minh Thao; Wen-Chih Peng; Jian-Zhe Wang; Chun-Cheng Chug; Min-Chen Hsieh; Yun-Chien Tseng; Ling Chen 004; Dongsheng Luo; Chi-Te Wang; Pei-fu Chen; Feng Liu 011; et al. (CoRR, 2024)

Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning. - Jun-En Ding; Chien-Chin Hsu; Feng Liu 011 (CoRR, 2024)

Application of uniform experimental design theory to multi-strategy improved sparrow search algorithm for UAV path planning. - Lianyu Cheng; Guang Ling; Feng Liu 011; Ming-Feng Ge (Expert Syst. Appl., 2024)

XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG. - Meng Jiao; Xiaochen Xian; Boyu Wang 004; Yu Zhang 009; Shihao Yang 001; Spencer C. Chen; Hai Sun; Feng Liu 011 (NeuroImage, 2024)

Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces. - Sepehr Asgarian; Ze Wang 001; Feng Wan; Chi Man Wong; Feng Liu 011; Yalda Mohsenzadeh; Boyu Wang 004; Charles X. Ling (IEEE Trans. Instrum. Meas., 2024)

Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations. - Bozhi Yao; Guang Ling; Feng Liu 011; Ming-Feng Ge (Expert Syst. Appl., 2024)

Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. - Shihao Yang 001; Meng Jiao; Jing Xiang; Neel Fotedar; Hai Sun; Feng Liu 011 (Brain Informatics, 2024)

Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels. - Xin Zan; Di Wang 019; Changyue Song; Feng Liu 011; Xiaochen Xian; Richard Berry (IEEE Trans Autom. Sci. Eng., 2025)

Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Kaustubh R. Kulkarni; Xiaosi Gu; Feng Liu 011 (IEEE J. Biomed. Health Informatics, 2025)

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. - Jun-En Ding; Dongsheng Luo; Anna Zilverstand; Feng Liu 011 (CoRR, 2025)

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation. - Hsin-Ling Hsu; Cong-Tinh Dao; Luning Wang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Chun-Chieh Liao; Pengfei Hu; Xiaoxue Han; Chih-Ho Hsu; Dongsheng Luo; Wen-Chih Peng; et al. (CoRR, 2025)

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification. - Jing Wang; Jun-En Ding; Feng Liu 011; Elisa Kallioniemi; Shuqiang Wang; Wen-Xiang Tsai; Albert C. Yang (CoRR, 2025)

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. - Xiaoxue Han; Pengfei Hu; Jun-En Ding; Chang Lu; Feng Liu 011; Yue Ning 001 (CoRR, 2025)

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation. - Yuyang Jiang; Chacha Chen; Shengyuan Wang; Feng Liu 011; Zecong Tang; Benjamin M. Mervak; Lydia Chelala; Christopher M. Straus; Reve Chahine; Samuel G. Armato III; Chenhao Tan (CoRR, 2025)

BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease. - Tong Zhou; Chen Ding; Changhong Jing; Feng Liu 011; Kevin Hung; Hieu Pham; Mufti Mahmud; Zhihan Lyu; Sibo Qiao; Shuqiang Wang; Kim-Fung Tsang (IEEE Trans. Consumer Electron., 2025)