Jianfeng Feng
Orcid: 0000-0002-9328-5732
According to our database1,
Jianfeng Feng
authored at least 161 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Atmospheric Temperature Measurements Using Microwave Hyper-Spectrum from Geostationary Satellite: Band Design, Weighting Functions and Information Content.
Remote. Sens., January, 2024
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.
CoRR, 2024
2023
Quant. Biol., December, 2023
Fractionation of neural reward processing into independent components by novel decoding principle.
NeuroImage, December, 2023
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes.
Neural Comput., November, 2023
DTBVis: An interactive visual comparison system for digital twin brain and human brain.
Vis. Informatics, June, 2023
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain.
IEEE Trans. Medical Imaging, April, 2023
IEEE Trans. Artif. Intell., April, 2023
Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.
NeuroImage, April, 2023
Pattern Recognit., 2023
PLoS Comput. Biol., 2023
HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation.
CoRR, 2023
fMRI-PTE: A Large-scale fMRI Pretrained Transformer Encoder for Multi-Subject Brain Activity Decoding.
CoRR, 2023
CoRR, 2023
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification.
CoRR, 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning.
CoRR, 2023
Visual Exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Analytic Investigation for Synchronous Firing Patterns Propagation in Spiking Neural Networks.
Neural Process. Lett., 2022
NeuroImage, 2022
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.
NeuroImage, 2022
The devil is in the face: Exploiting harmonious representations for facial expression recognition.
Neurocomputing, 2022
CoRR, 2022
CoRR, 2022
MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network.
Briefings Bioinform., 2022
Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers.
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.
NeuroImage, 2021
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains.
Frontiers Comput. Neurosci., 2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.
Quant. Biol., 2020
Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex.
NeuroImage, 2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
A powerful and efficient multivariate approach for voxel-level connectome-wide association studies.
NeuroImage, 2019
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Medical Image Anal., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
NeuroImage, 2017
Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.
NeuroImage, 2017
2016
Using real-time fMRI to influence effective connectivity in the developing emotion regulation network.
NeuroImage, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2014
Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
2013
Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise.
PLoS Comput. Biol., 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2012
A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons.
PLoS Comput. Biol., 2012
Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.
NeuroImage, 2012
Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing.
NeuroImage, 2012
2011
Proceedings of the Handbook of Research on Computational and Systems Biology, 2011
2010
Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait.
PLoS Comput. Biol., 2010
Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach.
BMC Bioinform., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
IEEE Trans. Biomed. Eng., 2009
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning.
PLoS Comput. Biol., 2009
Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution.
Neural Comput., 2009
Impact of environmental inputs on reverse-engineering approach to network structures.
BMC Syst. Biol., 2009
BMC Bioinform., 2009
BMC Bioinform., 2009
Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters.
Biosyst., 2009
2008
IEEE Trans. Neural Networks, 2008
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data.
BMC Bioinform., 2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
2007
IEEE Trans. Neural Networks, 2007
Math. Comput. Model., 2007
Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor.
J. Frankl. Inst., 2007
BMC Bioinform., 2007
2006
Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns.
Biol. Cybern., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
IEEE Trans. Neural Networks, 2005
Impact of temperature and pH value on the stability of hGHRH: An MD approach<sup>, </sup>.
Math. Comput. Model., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Is partial coherence a viable technique for identifying generators of neural oscillations?
Biol. Cybern., 2004
2003
IEEE Trans. Neural Networks, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis.
Neural Comput., 2002
Proceedings of the Artificial Neural Networks, 2002
2001
IEEE Trans. Neural Networks, 2001
Neurocomputing, 2001
Proceedings of the Connectionist Models of Neurons, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Neural Comput., 2000
Neurocomputing, 2000
Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model.
Neurocomputing, 2000
1999
Biol. Cybern., 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model.
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model.
Proceedings of the Foundations and Tools for Neural Modeling, 1999
1998
Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model.
Biol. Cybern., 1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
1997
Neural Networks, 1997
Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics.
Neural Comput., 1997
Neurocomputing, 1997
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997
1996
A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics.
Neural Process. Lett., 1996
Neural Comput., 1996
1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993