Feng Liu

76 papers A* 2A 2Journal 53Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
CURENet: combining unified representations for efficient chronic disease prediction.
Health Inf. Sci. Syst.
Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung
2026 J jnl
Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosis.
CoRR
Tongze Zhang, Jun-En Ding, Melik Ozolcer, Fang-Ming Hung, Albert Chih-Chieh Yang, Feng Liu, Yi-Rou Ji, Sang Won Bae
2026 J jnl
Enhancing multimodal medical image classification through cross-graph modal contrastive learning.
Expert Syst. Appl.
Jun-En Ding, Chien-Chin Hsu, Chi-Hsiang Chu, Shuqiang Wang, Feng Liu
2026 J jnl
Generative AI Empower Addiction-Related Brain Circuits Detection via Graph Diffusion-Infused Adversarial Learning.
IEEE Trans. Cybern.
Changhong Jing, Baiying Lei, Shanshan Wang, Yan Liu, Feng Liu, C. L. Philip Chen, Shuqiang Wang
2026 J jnl
Kinematically feasible path planning and robust predefined performance formation control for MAGVs under mixed uncertainties.
Expert Syst. Appl.
Jia-Wei Gao, Ming-Feng Ge, Yi-Fan Li, Yong Wang, Feng Liu
2026 J jnl
NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning.
CoRR
Guoan Wang, Shihao Yang, Jun-En Ding, Hao Zhu, Feng Liu
2026 J jnl
NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines.
CoRR
Guoan Wang, Shihao Yang, Jun-En Ding, Hao Zhu, Feng Liu
2025 J jnl
BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease.
IEEE Trans. Consumer Electron.
Tong Zhou, Chen Ding, Changhong Jing, Feng Liu, Kevin Hung, Hieu Pham, Mufti Mahmud, Zhihan Lyu, Sibo Qiao, Shuqiang Wang, Kim-Fung Tsang
2025 — conf
CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation.
EMNLP (Findings)
Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025 J jnl
CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation.
CoRR
Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025 J jnl
CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction.
CoRR
Cong-Tinh Dao, Nguyen Minh Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung
2025 J jnl
Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification.
CoRR
Jing Wang, Jun-En Ding, Feng Liu, Elisa Kallioniemi, Shuqiang Wang, Wen-Xiang Tsai, Albert C. Yang
2025 J jnl
Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review.
CoRR
Shihao Yang, Xiying Huang, Danilo Bernardo, Jun-En Ding, Andrew Michael, Jingmei Yang, Patrick Kwan, Ashish Raj, Feng Liu
2025 J jnl
Generating Grid Multiscroll Memristive Chua's Circuit and Its Predefined-Time Synchronization for Secure Communication.
IEEE Trans. Circuits Syst. I Regul. Pap.
Qiang Lai, Yijin Liu, Feng Liu, Xiao-Wen Zhao
2025 — conf
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation.
ACL (6)
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, Feng Liu, Fang-Ming Hung, Chenwei Wu
2025 J jnl
MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation.
CoRR
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, Feng Liu, Fang-Ming Hung, Chenwei Wu
2025 A* conf
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.
ICML
Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu
2025 J jnl
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.
CoRR
Jun-En Ding, Dongsheng Luo, Anna Zilverstand, Feng Liu
2025 — conf
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.
EMNLP (Findings)
Xiaoxue Han, Pengfei Hu, Chang Lu, Jun-En Ding, Feng Liu, Yue Ning
2025 J jnl
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.
CoRR
Xiaoxue Han, Pengfei Hu, Jun-En Ding, Chang Lu, Feng Liu, Yue Ning
2025 J jnl
RPRO:Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning.
CoRR
Chia-Hsuan Hsu, Jun-En Ding, Hsin-Ling Hsu, Feng Liu, Fang-Ming Hung
2025 J jnl
Reduced-order identification methods: Hierarchical algorithm or variable elimination algorithm.
Autom.
Jing Chen, Yawen Mao, Dongqing Wang, Min Gan, Quanmin Zhu, Feng Liu
2025 J jnl
Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks.
IEEE J. Biomed. Health Informatics
Jun-En Ding, Shihao Yang, Anna Zilverstand, Kaustubh R. Kulkarni, Xiaosi Gu, Feng Liu
2025 J jnl
Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks.
CoRR
Jun-En Ding, Anna Zilverstand, Shihao Yang, Albert Chih-Chieh Yang, Feng Liu
2025 J jnl
Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels.
IEEE Trans Autom. Sci. Eng.
Xin Zan, Di Wang, Changyue Song, Feng Liu, Xiaochen Xian, Richard Berry
2024 J jnl
Application of uniform experimental design theory to multi-strategy improved sparrow search algorithm for UAV path planning.
Expert Syst. Appl.
Lianyu Cheng, Guang Ling, Feng Liu, Ming-Feng Ge
2024 — conf
Detection of High-Frequency Oscillations from Intracranial EEG Data with Switching State Space Model.
EMBC
Zeyu Gu, Shihao Yang, Zhongyuan Yu, Feng Liu
2024 A conf
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models.
CIKM
Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
2024 J jnl
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models.
CoRR
Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
2024 J jnl
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning.
CoRR
Jun-En Ding, Chien-Chin Hsu, Feng Liu
2024 J jnl
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks.
CoRR
Jun-En Ding, Shihao Yang, Anna Zilverstand, Feng Liu
2024 J jnl
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data.
CoRR
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
2024 J jnl
M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality.
Comput. Biol. Medicine
Junde Chen, Qing Li, Feng Liu, Yuxin Wen
2024 A conf
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
CIKM
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
2024 J jnl
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.
CoRR
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
2024 J jnl
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations.
Expert Syst. Appl.
Bozhi Yao, Guang Ling, Feng Liu, Ming-Feng Ge
2024 J jnl
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas.
Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, Charles X. Ling
2024 — conf
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features.
ISBI
Jun-En Ding, Chien-Chin Hsu, Feng Liu
2024 J jnl
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation.
Brain Informatics
Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu
2024 J jnl
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG.
NeuroImage
Meng Jiao, Xiaochen Xian, Boyu Wang, Yu Zhang, Shihao Yang, Spencer C. Chen, Hai Sun, Feng Liu
2023 J jnl
Adaptive neural decision tree for EEG based emotion recognition.
Inf. Sci.
Yongqiang Zheng, Jie Ding, Feng Liu, Dongqing Wang
2023 — ed.
Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings
BI
Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang
2023 J jnl
GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenhui Tu, Guang Ling, Feng Liu, Fuyan Hu, Xiangxiang Song
2023 — conf
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging.
BI
Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu
2023 J jnl
Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features.
CoRR
Jun-En Ding, Chien-Chin Hsu, Feng Liu
2023 — conf
Prediction of Cannabis Addictive Patients with Graph Neural Networks.
BI
Shulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu
2023 — conf
Rejuvenating Classical Source Localization Methods with Spatial Graph Filters.
BI
Shihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu
2023 J jnl
The Auto-Correlation Function Aided Sparse Support Matrix Machine for EEG-Based Fatigue Detection.
IEEE Trans. Circuits Syst. II Express Briefs
Yuxiang Li, Dongqing Wang, Feng Liu
2022 J jnl
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.
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
2022 — conf
Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features.
BI
Meng Jiao, Feng Liu, Onur Asan, Roshanak Nilchiani, Xinglong Ju, Jing Xiang
2022 — conf
EEG Source Imaging using GANs with Deep Image Prior.
EMBC
Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu
2022 — conf
Extended Electrophysiological Source Imaging with Spatial Graph Filters.
MICCAI (1)
Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon
2022 J jnl
Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming.
Inf. Sci.
Xinglong Ju, Jay M. Rosenberger, Victoria C. P. Chen, Feng Liu
2022 J jnl
Secure and Privacy-Preserving Formation Control for Networked Marine Surface Vehicles With Sampled-Data Interactions.
IEEE Trans. Veh. Technol.
Chang-Duo Liang, Ming-Feng Ge, Jing-Zhe Xu, Zhi-Wei Liu, Feng Liu
2021 J jnl
Blood Pressure States Transition Inference Based on Multi-State Markov Model.
IEEE J. Biomed. Health Informatics
Jingmei Yang, Feng Liu, Boyu Wang, Chaoyang Chen, Timothy Church, Lee Dukes, Jeffrey O. Smith
2021 J jnl
Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern.
Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen
2021 J jnl
Fast knot optimization for multivariate adaptive regression splines using hill climbing methods.
Expert Syst. Appl.
Xinglong Ju, Victoria C. P. Chen, Jay M. Rosenberger, Feng Liu
2021 J jnl
More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine.
Eng. Appl. Artif. Intell.
Meng Jiao, Dongqing Wang, Yan Yang, Feng Liu
2021 J jnl
Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data.
IEEE Trans. Smart Grid
Li Ding, Shihao Nie, Wenqu Li, Ping Hu, Feng Liu
2021 J jnl
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.
IEEE Trans. Medical Imaging
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
2021 J jnl
Tracking Performance Limitations of Networked Control Systems With Repeated Zeros and Poles.
IEEE Trans. Autom. Control.
Chao-Yang Chen, Feng Liu, Lianghong Wu, Huaicheng Yan, Weihua Gui, Harry Eugene Stanley
2020 J jnl
An Extremely Simple Chaotic System With Infinitely Many Coexisting Attractors.
IEEE Trans. Circuits Syst. II Express Briefs
Qiang Lai, Paul Didier Kamdem Kuate, Feng Liu, Herbert Ho-Ching Iu
2020 J jnl
Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization.
Comput. Oper. Res.
Ying Chen, Feng Liu, Jay M. Rosenberger, Victoria C. P. Chen, Asama Kulvanitchaiyanunt, Yuan Zhou
2019 J jnl
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.
CoRR
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
2019 — conf
Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space.
NER
Feng Liu, Emily P. Stephen, Michael J. Prerau, Patrick L. Purdon
2018 — conf
Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series.
BI
Rahilsadat Hosseini, Feng Liu, Shouyi Wang
2018 — conf
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.
BI
Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger
2017 A* conf
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping.
AAAI
Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu
2017 — conf
EEG source imaging based on spatial and temporal graph structures.
IPTA
Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger
2017 J jnl
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination.
IEEE Trans. Big Data
Feng Liu, Jay M. Rosenberger, Yifei Lou, Rahilsadat Hosseini, Jianzhong Su, Shouyi Wang
2017 — conf
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization.
MICCAI (1)
Feng Liu, Rahilsadat Hosseini, Jay M. Rosenberger, Shouyi Wang, Jianzhong Su
2017 — conf
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain.
BI
Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su
2017 J jnl
The Optimization and Characterization of an RNA-Cleaving Fluorogenic DNAzyme Probe for MDA-MB-231 Cell Detection.
Sensors
Pengcheng Xue, Shengnan He, Yu Mao, Long Qu, Feng Liu, Chunyan Tan, Yuyang Jiang, Ying Tan
2016 — conf
Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries.
BIH
Feng Liu, Wei Xiang, Shouyi Wang, Bradley Lega
2014 J jnl
Offshore Wind Farm Layout Optimization Using Adapted Genetic Algorithm: A different perspective.
CoRR
Feng Liu, Zhifang Wang
2013 J jnl
A new chaotic Hopfield neural network and its synthesis via parameter switchings.
Neurocomputing
Juan Li, Feng Liu, Zhi-Hong Guan, Tao Li