Discrete-Time Model Representations for Biochemical Pathway Modeling. - Lam Fat Yeung; Martin Brown; Fei He 002 (IMECS, 2007)

On the complexity - sensitivity trade-off for the NF-kappaB pathway modeling. - Fei He 002; Martin Brown; Lam Fat Yeung (IJCNN, 2008)

Robust experimental design and feature selection in signal transduction pathway modeling. - Fei He 002; Martin Brown; Hong Yue; Lam Fat Yeung (IJCNN, 2008)

Robust measurement selection for biochemical pathway experimental design. - Martin Brown; Fei He 002; Lam Fat Yeung (Int. J. Bioinform. Res. Appl., 2008)

Dynamic basis pursuit regularization for complex biochemical pathway identification. - Martin Brown; Fei He 002; George Papadopoulos 001 (CDC, 2009)

(Im)Perfect robustness and adaptation of metabolic networks subject to metabolic and gene-expression regulation: marrying control engineering with metabolic control analysis. - Fei He 002; Vincent Fromion; Hans V. Westerhoff (BMC Syst. Biol., 2013)

Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach. - Fei He 002; Stephen A. Billings; Hua-Liang Wei; Ptolemaios G. Sarrigiannis; Yifan Zhao 001 (IEEE Trans. Biomed. Eng., 2013)

A Nonlinear Generalization of Spectral Granger Causality. - Fei He 002; Hua-Liang Wei; Stephen A. Billings; Ptolemaios G. Sarrigiannis (IEEE Trans. Biomed. Eng., 2014)

Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models. - Fei He 002; Hua-Liang Wei; Stephen A. Billings (Int. J. Syst. Sci., 2015)

Parametric and non-parametric gradient matching for network inference: a comparison. - Leander Dony; Fei He 002; Michael P. H. Stumpf (BMC Bioinform., 2019)

GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation. - Evgeny Tankhilevich; Jonathan Ish-Horowicz; Tara Hameed; Elisabeth Roesch; Istvan T. Kleijn; Michael P. H. Stumpf; Fei He 002 (Bioinform., 2020)

Mobile computing and communications-driven fog-assisted disaster evacuation techniques for context-aware guidance support: A survey. - Ibnu Febry Kurniawan; A. Taufiq Asyhari; Fei He 002; Ye Liu 001 (Comput. Commun., 2021)

Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel Blackburn; Ptolemaios G. Sarrigiannis (EMBC, 2022)

Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network: A comparative analysis. - Mathias Foo; Leander Dony; Fei He 002 (Biosyst., 2022)

Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling. - Bhavya Vasudeva; Runfeng Tian; Dee H. Wu; Shirley A. James; Hazem H. Refai; Lei Ding; Fei He 002; Yuan Yang 002 (Biomed. Signal Process. Control., 2022)

Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. - Dominik Klepl; Fei He 002; Min Wu 008; Matteo De Marco; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (IEEE J. Biomed. Health Informatics, 2022)

Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control Subjects. - Jia-Chen Hua; Eun-Jin Kim; Fei He 002 (BIBM, 2023)

Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis. - Michael Ajao-Olarinoye; Vasile Palade; Seyed Mousavi; Fei He 002; Petra A. Wark (ICMLA, 2023)

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (CoRR, 2023)

Graph Neural Network-based EEG Classification: A Survey. - Dominik Klepl; Min Wu 008; Fei He 002 (CoRR, 2023)

Causality Analysis with Information Geometry: A Comparison. - Heng Jie Choong; Eun-Jin Kim; Fei He 002 (Entropy, 2023)

The role of wrist-worn technology in the management of Parkinson's disease in daily life: A narrative review. - Peng Li; Richard van Wezel; Fei He 002; Yifan Zhao 001; Ying Wang 072 (Frontiers Neuroinformatics, 2023)

EEG Signal Processing Techniques and Applications. - Yifan Zhao 001; Fei He 002; Yuzhu Guo (Sensors, 2023)

Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval. - Stephan Goerttler; Fei He 002; Min Wu 008 (EMBC, 2024)

Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. - Stephan Goerttler; Fei He 002; Min Wu 008 (EMBC, 2024)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network. - Haili Ye; Stephan Goerttler; Fei He 002 (EMBC, 2024)

Information Geometry Theoretic Measures for Characterizing Neural Information Processing from Simulated EEG Signals. - Jia-Chen Hua; Eun-Jin Kim; Fei He 002 (Entropy, 2024)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. - Stephan Goerttler; Yucheng Wang 001; Emadeldeen Eldele; Min Wu 008; Fei He 002 (CoRR, 2025)