Analysis of Linsker-type Hebbian learning: rigorous results. - Jianfeng Feng; Hong Pan (ICNN, 1993)

A Rigorous Analysis of Linsker-Type Hebbian Learning. - Jianfeng Feng; Hong Pan; Vwani P. Roychowdhury (NIPS, 1994)

An Application of the Saturated Attractor Analysis to Three Typical Models. - Jianfeng Feng; Brunello Tirozzi (IWANN, 1995)

Establishment of topological maps - a model study. - Jianfeng Feng (Neural Process. Lett., 1995)

On Neurodynamics with Limiter Function and Linsker's Developmental Model. - Jianfeng Feng; Hong Pan; Vwani P. Roychowdhury (Neural Comput., 1996)

A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics. - Jianfeng Feng; David Brown 004 (Neural Process. Lett., 1996)

Viewing a Class of Neurodynamics on Parameter Space. - Jianfeng Feng; David Brown 004 (IWANN, 1997)

Convergence theorems for a class of learning algorithms with VLRPs. - Jianfeng Feng; Brunello Tirozzi (Neurocomputing, 1997)

A discrete version of the dynamic link network. - Jianfeng Feng; Brunello Tirozzi (Neurocomputing, 1997)

Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics. - Jianfeng Feng (Neural Comput., 1997)

Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space. - Jianfeng Feng; Hong Pan; Vwani P. Roychowdhury (Neural Networks, 1997)

What is observable in a class of neurodynamics? - Jianfeng Feng; David Brown 004 (ESANN, 1998)

Output jitter diverges to infinity, converges to zero or remains constant. - Jianfeng Feng; Brunello Tirozzi; David Brown 004 (ESANN, 1998)

Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model. - Jianfeng Feng; David Brown 004 (Biol. Cybern., 1998)

Fixed Point Attractor Analysis for a Class of Neurodynamics. - Jianfeng Feng; David Brown 004 (Neural Comput., 1998)

Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model. - David Brown 004; Jianfeng Feng (IWANN (1), 1999)

Structure of Lateral Inhibition in an Olfactory Bulb Model. - Andrew P. Davison; Jianfeng Feng; David Brown 004 (IWANN (1), 1999)

Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. - Stuart Feerick; Jianfeng Feng; David Brown 004 (IWANN (1), 1999)

Integrate-and-Fire Model with Correlated Inputs. - Jianfeng Feng (IWANN (1), 1999)

Estimating Exact Form of Generalisation Errors. - Jianfeng Feng (IWANN (1), 1999)

Coefficient of variation of interspike intervals greater than 0.5. How and when? - Jianfeng Feng; David Brown 004 (Biol. Cybern., 1999)

Is there a problem matching real and model CV(ISI)? - David Brown 004; Jianfeng Feng (Neurocomputing, 1999)

Origin of firing varibility of the integrate-and-fire model. - Jianfeng Feng (Neurocomputing, 1999)

Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model. - David Brown 004; Jianfeng Feng (Neurocomputing, 2000)

Random pulse input versus continuous current plus white noise: Are they equivalent? - Stuart Feerick; Jianfeng Feng; David Brown 004 (Neurocomputing, 2000)

Synchronization driven by correlated inputs. - Jianfeng Feng (Neurocomputing, 2000)

Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model. - Jianfeng Feng; David Brown 004 (Neural Comput., 2000)

Neuronal Models with Current Inputs. - Jianfeng Feng (IWANN (1), 2001)

Non-symmetric Support Vector Machines. - Jianfeng Feng (IWANN (1), 2001)

Significance of random neuronal drive. - David Brown 004; Stuart Feerick; Jianfeng Feng (Neurocomputing, 2001)

Spike synchronization in a biophysically-detailed model of the olfactory bulb. - Andrew P. Davison; Jianfeng Feng; David Brown 004 (Neurocomputing, 2001)

Inhibitory inputs increase a neurons's firing rate. - Stuart Feerick; Jianfeng Feng; David Brown 004 (Neurocomputing, 2001)

Behaviour of two-compartment models. - Jianfeng Feng; Guibin Li (Neurocomputing, 2001)

Is the integrate-and-fire model good enough?–a review. - Jianfeng Feng (Neural Networks, 2001)

The generalization error of the symmetric and scaled support vector machines. - Jianfeng Feng; Peter Williams (IEEE Trans. Neural Networks, 2001)

Clustering within Integrate-and-Fire Neurons for Image Segmentation. - Phill Rowcliffe; Jianfeng Feng; Hilary Buxton (ICANN, 2002)

Training neuron models with the Informax principle. - Jianfeng Feng (Neurocomputing, 2002)

Ideal observer of single neuron activity. - Ping Zhang; Jianfeng Feng (Neurocomputing, 2002)

Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis. - Jianfeng Feng; Guibin Li (Neural Comput., 2002)

The Minimum-Variance Theory Revisited. - Jianfeng Feng (IWANN (1), 2003)

Training integrate-and-fire neurons with the Informax principle II. - Jianfeng Feng; Yunlian Sun; Hilary Buxton; Gang Wei (IEEE Trans. Neural Networks, 2003)

Temporal album. - Eleni Vasilaki; Jianfeng Feng; Hilary Buxton (IEEE Trans. Neural Networks, 2003)

Is partial coherence a viable technique for identifying generators of neural oscillations? - Zimbul Albo; Gonzalo Viana Di Prisco; Yonghong Chen; Govindan Rangarajan; Wilson A. Truccolo; Jianfeng Feng; Robert P. Vertes; Mingzhou Ding (Biol. Cybern., 2004)

Stimulus-evoked synchronization in neuronal models. - Guibin Li; Jianfeng Feng (Neurocomputing, 2004)

Decoding Input Signals in Time Domain - A Model Approach. - Jianfeng Feng; David Brown 004 (J. Comput. Neurosci., 2004)

Scaling the Kernel Function to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (ISNN (1), 2005)

Impact of temperature and pH value on the stability of hGHRH: An MD approach, . - Jianfeng Feng; Enrico Ferraro; Brunello Tirozzi (Math. Comput. Model., 2005)

Cue-guided search: a computational model of selective attention. - KangWoo Lee; Hilary Buxton; Jianfeng Feng (IEEE Trans. Neural Networks, 2005)

The Ideal Noisy Environment for Fast Neural Computation. - Si Wu 001; Jianfeng Feng; Shun-ichi Amari (ISNN (1), 2006)

Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns. - Simon Durrant; Jianfeng Feng (Biol. Cybern., 2006)

Population approach to a neural discrimination task. - Benoît Gaillard; Hilary Buxton; Jianfeng Feng (Biol. Cybern., 2006)

Spiking perceptrons. - Phill Rowcliffe; Jianfeng Feng; Hilary Buxton (IEEE Trans. Neural Networks, 2006)

Decoding spike train ensembles: tracking a moving stimulus. - Enrico Rossoni; Jianfeng Feng (Biol. Cybern., 2007)

A novel approach to detect hot-spots in large-scale multivariate data. - Jianhua Wu; Keith M. Kendrick; Jianfeng Feng (BMC Bioinform., 2007)

Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor. - Shouyan Wang; Yonghong Chen; Mingzhou Ding; Jianfeng Feng; John F. Stein; Tipu Z. Aziz; Xing Liu (J. Frankl. Inst., 2007)

Optimal movement control models of Langevin and Hamiltonian types. - Jianfeng Feng; Mariya Shcherbina; Brunello Tirozzi; Gongqiang You (Math. Comput. Model., 2007)

A Geometrical Method to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (IEEE Trans. Neural Networks, 2007)

On Modularity of Social Network Communities: The Spectral Characterization. - Bo Yang 002; Jiming Liu 001; Jianfeng Feng; Dayou Liu (Web Intelligence, 2008)

A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data. - Cong Zhou; Lucas D. Bowler; Jianfeng Feng (BMC Bioinform., 2008)

Uncovering Interactions in the Frequency Domain. - Shuixia Guo; Jianhua Wu; Mingzhou Ding; Jianfeng Feng (PLoS Comput. Biol., 2008)

Emergent Synchronous Bursting of Oxytocin Neuronal Network. - Enrico Rossoni; Jianfeng Feng; Brunello Tirozzi; David Brown 004; Gareth Leng; Françoise Moos (PLoS Comput. Biol., 2008)

Training Spiking Neuronal Networks With Applications in Engineering Tasks. - Phill Rowcliffe; Jianfeng Feng (IEEE Trans. Neural Networks, 2008)

Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters. - Yang Zhan 004; Shuixia Guo; Keith M. Kendrick; Jianfeng Feng (Biosyst., 2009)

Granger causality vs. dynamic Bayesian network inference: a comparative study. - Cunlu Zou; Katherine J. Denby; Jianfeng Feng (BMC Bioinform., 2009)

Granger causality vs. dynamic Bayesian network inference: a comparative study. - Cunlu Zou; Jianfeng Feng (BMC Bioinform., 2009)

Impact of environmental inputs on reverse-engineering approach to network structures. - Jianhua Wu; James L. Sinfield; Vicky Buchanan-Wollaston; Jianfeng Feng (BMC Syst. Biol., 2009)

Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution. - Xuejuan Zhang; Gongqiang You; Tianping Chen; Jianfeng Feng (Neural Comput., 2009)

A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning. - Tian Ge; Keith M. Kendrick; Jianfeng Feng (PLoS Comput. Biol., 2009)

Voxel Selection in fMRI Data Analysis Based on Sparse Representation. - Yuanqing Li 001; Praneeth Namburi; Zhuliang Yu; Cuntai Guan; Jianfeng Feng; Zhenghui Gu (IEEE Trans. Biomed. Eng., 2009)

Find synaptic topology from spike trains. - Tian Ge; Wenlian Lu; Jianfeng Feng (IJCNN, 2010)

On Gaussian random neuronal field model: Moment neuronal network approach. - Wenlian Lu; Jianfeng Feng (IJCNN, 2010)

Controlling precise movement with stochastic signals. - Enrico Rossoni; Jing Kang; Jianfeng Feng (Biol. Cybern., 2010)

Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach. - Cunlu Zou; Christophe Ladroue; Shuixia Guo; Jianfeng Feng (BMC Bioinform., 2010)

On a Gaussian neuronal field model. - Wenlian Lu; Enrico Rossoni; Jianfeng Feng (NeuroImage, 2010)

Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait. - Jie Zhang 012; Kai Zhang 001; Jianfeng Feng; Michael Small (PLoS Comput. Biol., 2010)

Granger Causality: Its Foundation and Applications in Systems Biology. - Tian Ge; Jianfeng Feng (Handbook of Research on Computational and Systems Biology, 2011)

Granger causality with signal-dependent noise. - Qiang Luo; Tian Ge; Jianfeng Feng (NeuroImage, 2011)

A Dynamical Model Reveals Gene Co-Localizations in Nucleus. - Jing Kang; Bing Xu; Ye Yao; Wei Lin 003; Conor Hennessy; Peter Fraser; Jianfeng Feng (PLoS Comput. Biol., 2011)

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. - Tian Ge; Jianfeng Feng; Fabian Grabenhorst; Edmund T. Rolls (NeuroImage, 2012)

Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. - Tian Ge; Jianfeng Feng; Derrek P. Hibar; Paul M. Thompson; Thomas E. Nichols (NeuroImage, 2012)

A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons. - Dimitrios V. Vavoulis; Volko A. Straub; John A. D. Aston; Jianfeng Feng (PLoS Comput. Biol., 2012)

Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems. - Tian Ge; Wei Lin 003; Jianfeng Feng (IEEE Trans. Autom. Control., 2012)

On the Spectral Characterization and Scalable Mining of Network Communities. - Bo Yang 002; Jiming Liu 001; Jianfeng Feng (IEEE Trans. Knowl. Data Eng., 2012)

Neuronal Synfire Chain via Moment Neuronal Network Approach. - Xiangnan He 002; Wenlian Lu; Jianfeng Feng (ICONIP (1), 2013)

Spatio-temporal Granger causality: A new framework. - Qiang Luo; Wenlian Lu; Wei Cheng 002; Pedro A. Valdés-Sosa; Xiaotong Wen; Mingzhou Ding; Jianfeng Feng (NeuroImage, 2013)

Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise. - Qiang Luo; Tian Ge; Fabian Grabenhorst; Jianfeng Feng; Edmund T. Rolls (PLoS Comput. Biol., 2013)

Imaging genetics - towards discovery neuroscience. - Tian Ge; Gunter Schumann; Jianfeng Feng (Quant. Biol., 2013)

Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization. - Chenyang Tao; Wei Lin 003; Jianfeng Feng (Neural Connectomics, 2014)

Comparing data assimilation filters for parameter estimation in a neuron model. - Nicola Politi; Jianfeng Feng; Wenlian Lu (IJCNN, 2016)

Using real-time fMRI to influence effective connectivity in the developing emotion regulation network. - Kathrin Cohen Kadosh; Qiang Luo; Calem de Burca; Moses O. Sokunbi; Jianfeng Feng; David E. J. Linden; Jennifer Y. F. Lau (NeuroImage, 2016)

Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization. - Changmao Cheng; Yanwei Fu 001; Wenlian Lu; Yu-Gang Jiang 001; Jianfeng Feng; Xiangyang Xue 001 (CoRR, 2017)

Canonical kernel dimension reduction. - Chenyang Tao; Jianfeng Feng (Comput. Stat. Data Anal., 2017)

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis. - Wei Cheng 002; Edmund T. Rolls; Jie Zhang 012; Wenbo Sheng; Liang Ma; Lin Wan; Qiang Luo; Jianfeng Feng (NeuroImage, 2017)

Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. - Chenyang Tao; Thomas E. Nichols; Xue Hua; Christopher R. K. Ching; Edmund T. Rolls; Paul M. Thompson; Jianfeng Feng (NeuroImage, 2017)

Dual Skipping Networks. - Changmao Cheng; Yanwei Fu 001; Yu-Gang Jiang 001; Wei Liu 005; Wenlian Lu; Jianfeng Feng; Xiangyang Xue 001 (CVPR, 2018)

Chi-square Generative Adversarial Network. - Chenyang Tao; Liqun Chen 001; Ricardo Henao; Jianfeng Feng; Lawrence Carin (ICML, 2018)

A Wiener Causality Defined by Relative Entropy. - Junya Chen; Jianfeng Feng; Wenlian Lu (ICONIP (2), 2018)

Statistical testing and power analysis for brain-wide association study. - Weikang Gong; Lin Wan; Wenlian Lu; Liang Ma; Fan Cheng 003; Wei Cheng 002; Stefan Grünewald; Jianfeng Feng (Medical Image Anal., 2018)

Neural and genetic determinants of creativity. - Zhaowen Liu; Jie Zhang 012; Xiaohua Xie; Edmund T. Rolls; Jiangzhou Sun; Kai Zhang 001; Zeyu Jiao; Qunlin Chen; Junying Zhang; Jiang Qiu; Jianfeng Feng (NeuroImage, 2018)

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. - Hanqing Chao; Yiwei He; Junping Zhang; Jianfeng Feng (AAAI, 2019)

SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. - Liang Du 004; Jingang Tan; Hongye Yang; Jianfeng Feng; Xiangyang Xue 001; Qibao Zheng; Xiaoqing Ye; Xiaolin Zhang (ICCV, 2019)

Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning. - Kai Wu; Bowen Du 002; Man Luo 001; Hongkai Wen 001; Yiran Shen 001; Jianfeng Feng (MICCAI (3), 2019)

On Fenchel Mini-Max Learning. - Chenyang Tao; Liqun Chen 001; Shuyang Dai; Junya Chen; Ke Bai 001; Dong Wang 037; Jianfeng Feng; Wenlian Lu; Georgiy V. Bobashev; Lawrence Carin (NeurIPS, 2019)

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. - Zhaowen Liu; Edmund T. Rolls; Zhi Liu 004; Kai Zhang 001; Ming Yang; Jingnan Du; Weikang Gong; Wei Cheng 002; Fei Dai; He Wang 016; Kâmil Ugurbil; Jie Zhang 012; et al. (Bioinform., 2019)

A powerful and efficient multivariate approach for voxel-level connectome-wide association studies. - Weikang Gong; Fan Cheng 003; Edmund T. Rolls; Chun-Yi Zac Lo; Chu-Chung Huang; Shih-Jen Tsai; Albert C. Yang; Ching-Po Lin; Jianfeng Feng (NeuroImage, 2019)

Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. - Liang Du 004; Xiaoqing Ye; Xiao Tan 001; Jianfeng Feng; Zhenbo Xu; Errui Ding; Shilei Wen (CVPR, 2020)

Monocular 3D Object Detection via Feature Domain Adaptation. - Xiaoqing Ye; Liang Du 004; Yifeng Shi; Yingying Li; Xiao Tan 001; Jianfeng Feng; Errui Ding; Shilei Wen (ECCV (9), 2020)

3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. - Liang Du 004; Jingang Tan; Xiangyang Xue 001; Lili Chen; Hongkai Wen 001; Jianfeng Feng; Jiamao Li; Xiaolin Zhang (ICRA, 2020)

Automated anatomical labelling atlas 3. - Edmund T. Rolls; Chu-Chung Huang; Ching-Po Lin; Jianfeng Feng; Marc Joliot (NeuroImage, 2020)

Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex. - Zhuo Wan; Edmund T. Rolls; Wei Cheng 002; Jianfeng Feng (NeuroImage, 2020)

International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019. - Minghua Deng; Jianfeng Feng; Hong Qian; Lin Wan; Fengzhu Sun (Quant. Biol., 2020)

Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. - Li Wang 033; Liang Du 004; Xiaoqing Ye; Yanwei Fu 001; Guodong Guo; Xiangyang Xue 001; Jianfeng Feng; Li Zhang 040 (CVPR, 2021)

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. - Sixiao Zheng; Jiachen Lu; Hengshuang Zhao; Xiatian Zhu; Zekun Luo; Yabiao Wang; Yanwei Fu 001; Jianfeng Feng; Tao Xiang 002; Philip H. S. Torr; Li Zhang 040 (CVPR, 2021)

The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. - Zhikang Zou; Xiaoqing Ye; Liang Du 004; Xianhui Cheng; Xiao Tan 001; Li Zhang 040; Jianfeng Feng; Xiangyang Xue 001; Errui Ding (ICCV, 2021)

SGM3D: Stereo Guided Monocular 3D Object Detection. - Zheyuan Zhou; Liang Du 004; Xiaoqing Ye; Zhikang Zou; Xiao Tan 001; Errui Ding; Li Zhang 040; Xiangyang Xue 001; Jianfeng Feng (CoRR, 2021)

Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains. - Xinchun Zhou; Ningning Ma; Benseng Song; Zhixi Wu; Guangyao Liu; Liwei Liu; Lianchun Yu; Jianfeng Feng (Frontiers Comput. Neurosci., 2021)

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. - Lu Zhang; Jiajia Zhao; Qunjie Zhou; Zhaowen Liu; Yi Zhang; Wei Cheng 002; Weikang Gong; Xiaoping Hu; Wenlian Lu; Edward T. Bullmore; Chun-Yi Zac Lo; Jianfeng Feng (NeuroImage, 2021)

A Wiener Causality Defined by Divergence. - Junya Chen; Jianfeng Feng; Wenlian Lu (Neural Process. Lett., 2021)

Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. - Jiayi Han; Longbin Zeng; Liang Du 004; Xiaoqing Ye; Weiyang Ding; Jianfeng Feng (AAAI, 2022)

Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling. - Hengyuan Ma; Li Zhang 040; Xiatian Zhu; Jianfeng Feng (ECCV (23), 2022)

Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers. - Yuhao Liu; Xin Du 002; Zhihui Lu 002; Qiang Duan; Jianfeng Feng; Minglong Wang; Jie Wu 003 (ICPP, 2022)

MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network. - Guiying Dong; Zi-Chao Zhang 001; Jianfeng Feng; Xing-Ming Zhao (Briefings Bioinform., 2022)

Accelerating Score-based Generative Models for High-Resolution Image Synthesis. - Hengyuan Ma; Li Zhang 040; Xiatian Zhu; Jingfeng Zhang; Jianfeng Feng (CoRR, 2022)

Softmax-free Linear Transformers. - Jiachen Lu; Li Zhang 040; Junge Zhang; Xiatian Zhu; Hang Xu 004; Jianfeng Feng (CoRR, 2022)

Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective. - Li Zhang 040; Sixiao Zheng; Jiachen Lu; Xinxuan Zhao; Xiatian Zhu; Yanwei Fu 001; Tao Xiang 002; Jianfeng Feng (CoRR, 2022)

The devil is in the face: Exploiting harmonious representations for facial expression recognition. - Jiayi Han; Liang Du 004; Xiaoqing Ye; Li Zhang 040; Jianfeng Feng (Neurocomputing, 2022)

A Low-Latency Communication Design for Brain Simulations. - Xin Du 002; Yuhao Liu; Zhihui Lu 002; Qiang Duan; Jianfeng Feng; Jie Wu 003; Boyu Chen; Qibao Zheng (IEEE Netw., 2022)

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. - Zeyu Jiao; Yinglei Lai; Jujiao Kang; Weikang Gong; Liang Ma; Tianye Jia; Chao Xie; Shitong Xiang; Wei Cheng 002; Andreas Heinz; Sylvane Desrivières; Gunter Schumann; et al. (NeuroImage, 2022)

The human language effective connectome. - Edmund T. Rolls; Gustavo Deco; Chu-Chung Huang; Jianfeng Feng (NeuroImage, 2022)

Risk-taking in humans and the medial orbitofrontal cortex reward system. - Edmund T. Rolls; Zhuo Wan; Wei Cheng 002; Jianfeng Feng (NeuroImage, 2022)

Analytic Investigation for Synchronous Firing Patterns Propagation in Spiking Neural Networks. - Ning Hua; Xiangnan He 002; Jianfeng Feng; Wenlian Lu (Neural Process. Lett., 2022)

GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set. - Hanqing Chao; Kun Wang; Yiwei He; Junping Zhang; Jianfeng Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. - Liang Du 004; Xiaoqing Ye; Xiao Tan 001; Edward Johns; Bo Chen; Errui Ding; Xiangyang Xue 001; Jianfeng Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SGM3D: Stereo Guided Monocular 3D Object Detection. - Zheyuan Zhou; Liang Du 004; Xiaoqing Ye; Zhikang Zou; Xiao Tan 001; Li Zhang 040; Xiangyang Xue 001; Jianfeng Feng (IEEE Robotics Autom. Lett., 2022)

Learning Effective Global Receptive Field for Facial Expression Recognition. - Jiayi Han; Ang Li; Donghong Han; Jianfeng Feng (FG, 2023)

Visual Exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment. - Yifei Zhang; Yougao Li; Xiangyang Xue 001; Jianfeng Feng; Siming Chen 001 (VR Workshops, 2023)

Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. - Jiayi Han; Longbin Zeng; Liang Du 004; Weiyang Ding; Jianfeng Feng (CoRR, 2023)

Semantic Neural Decoding via Cross-Modal Generation. - Xuelin Qian; Yikai Wang 002; Yanwei Fu 001; Xiangyang Xue 001; Jianfeng Feng (CoRR, 2023)

Toward spike-based stochastic neural computing. - Yang Qi; Zhichao Zhu; Yiming Wei; Lu Cao; Zhigang Wang; Wenlian Lu; Jianfeng Feng (CoRR, 2023)

Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification. - Hengyuan Ma; Yang Qi; Li Zhang 040; Wenlian Lu; Jianfeng Feng (CoRR, 2023)

Digital Twin Brain: a simulation and assimilation platform for whole human brain. - Wenlian Lu; Longbin Zeng; Xin Du 002; Wenyong Zhang; Shitong Xiang; Huarui Wang; Jiexiang Wang; Mingda Ji; Yubo Hou; Minglong Wang; Yuhao Liu; Zhongyu Chen; et al. (CoRR, 2023)

fMRI-PTE: A Large-scale fMRI Pretrained Transformer Encoder for Multi-Subject Brain Activity Decoding. - Xuelin Qian; Yun Wang; Jingyang Huo; Jianfeng Feng; Yanwei Fu 001 (CoRR, 2023)

HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation. - Ziqi Yu; Botao Zhao 001; Shengjie Zhang; Xiang Chen; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (CoRR, 2023)

Controlling brain dynamics: Landscape and transition path for working memory. - Leijun Ye; Jianfeng Feng; Chunhe Li 001 (PLoS Comput. Biol., 2023)

Rethinking Local and Global Feature Representation for Dense Prediction. - Mohan Chen 001; Li Zhang 040; Rui Feng 001; Xiangyang Xue 001; Jianfeng Feng (Pattern Recognit., 2023)

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. - Bang-Sheng Wu; Yi-Jun Ge; Wei Zhang 056; Shi-Dong Chen; Shitong Xiang; Ya-Ru Zhang; Ya-Nan Ou; Yu-Chao Jiang; Lan Tan; Wei Cheng 002; John Suckling; Jianfeng Feng; et al. (NeuroImage, 2023)

Clustering by the Probability Distributions From Extreme Value Theory. - Sixiao Zheng; Ke Fan; Yanxi Hou; Jianfeng Feng; Yanwei Fu 001 (IEEE Trans. Artif. Intell., 2023)

MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. - Ziqi Yu; Xiaoyang Han; Shengjie Zhang; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (IEEE Trans. Medical Imaging, 2023)

DTBVis: An interactive visual comparison system for digital twin brain and human brain. - Yuxiao Li 002; Xinhong Li; Siqi Shen; Longbin Zeng; Richen Liu; Qibao Zheng; Jianfeng Feng; Siming Chen 001 (Vis. Informatics, 2023)

Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes. - Hengyuan Ma; Yang Qi; Pulin Gong; Jie Zhang 012; Wenlian Lu; Jianfeng Feng (Neural Comput., 2023)

Fractionation of neural reward processing into independent components by novel decoding principle. - Shitong Xiang; Tianye Jia; Chao Xie; Zhichao Zhu; Wei Cheng 002; Gunter Schumann; Trevor W. Robbins; Jianfeng Feng (NeuroImage, 2023)

Simulating the whole brain as an alternative way to achieve AGI. - Jianfeng Feng (Quant. Biol., 2023)

MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain. - Jianxiong Gao; Yuqian Fu; Yun Wang; Xuelin Qian; Jianfeng Feng; Yanwei Fu 001 (ECCV (47), 2024)

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation. - Jingyang Huo; Yikai Wang 002; Yun Wang; Xuelin Qian; Chong Li 007; Yanwei Fu 001; Jianfeng Feng (ECCV (51), 2024)

OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation. - Haochen Jiang; Yueming Xu; Yihan Zeng; Hang Xu 004; Wei Zhang 056; Jianfeng Feng; Li Zhang 040 (IROS, 2024)

Efficient Combinatorial Optimization via Heat Diffusion. - Hengyuan Ma; Wenlian Lu; Jianfeng Feng (NeurIPS, 2024)

DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization. - Yueming Xu; Haochen Jiang; Zhongyang Xiao; Jianfeng Feng; Li Zhang 040 (NeurIPS, 2024)

Mitigating critical nodes in brain simulations via edge removal. - Yubing Bao; Xin Du 002; Zhihui Lu 002; Jirui Yang; Shih-Chia Huang; Jianfeng Feng; Qibao Zheng (Comput. Networks, 2024)

Learn to integrate parts for whole through correlated neural variability. - Zhichao Zhu; Yang Qi; Wenlian Lu; Jianfeng Feng (CoRR, 2024)

Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. - Xinzhe Luo; Xin Wang 113; Linda Shapiro 001; Chun Yuan; Jianfeng Feng; Xiahai Zhuang (CoRR, 2024)

Decoding Continuous Character-based Language from Non-invasive Brain Recordings. - Cenyuan Zhang; Xiaoqing Zheng; Ruicheng Yin; Shujie Geng; Jianhan Xu; Xuan Gao; Changze Lv; Zixuan Ling; Xuanjing Huang 001; Miao Cao; Jianfeng Feng (CoRR, 2024)

Towards free-response paradigm: a theory on decision-making in spiking neural networks. - Zhichao Zhu; Yang Qi; Wenlian Lu; Zhigang Wang; Lu Cao; Jianfeng Feng (CoRR, 2024)

Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation. - Li Zhang 040; Yuankun Yang; Ziyang Xie; Zhiyuan Yuan; Jianfeng Feng; Xiatian Zhu; Yu-Gang Jiang 001 (CoRR, 2024)

fMRI-3D: A Comprehensive Dataset for Enhancing fMRI-based 3D Reconstruction. - Jianxiong Gao; Yuqian Fu; Yun Wang; Xuelin Qian; Jianfeng Feng; Yanwei Fu 001 (CoRR, 2024)

Uncertainty Quantification in Working Memory via Moment Neural Networks. - Hengyuan Ma; Wenlian Lu; Jianfeng Feng (CoRR, 2024)

On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks. - Wenyong Zhang; Boyu Chen; Jianfeng Feng; Wenlian Lu (Neural Networks, 2024)

Learning to integrate parts for whole through correlated neural variability. - Zhichao Zhu; Yang Qi; Wenlian Lu; Jianfeng Feng (PLoS Comput. Biol., 2024)

ENSO Significantly Changes the Carbon Sink and Source Pattern in the Pacific Ocean with Regional Differences. - Xue Tang; Xuhao Wan; Maohong Wei; Hongtao Nie; Wei Qian; Xueqiang Lu; Lin Zhu; Jianfeng Feng (Remote. Sens., 2024)

LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding. - Xuelin Qian; Yikai Wang 002; Xinwei Sun 001; Yanwei Fu 001; Xiangyang Xue 001; Jianfeng Feng (Trans. Mach. Learn. Res., 2024)

Atmospheric Temperature Measurements Using Microwave Hyper-Spectrum from Geostationary Satellite: Band Design, Weighting Functions and Information Content. - Yanmeng Bi; Jun Yang; Caiying Wei; Fangli Dou; Weiwei Xu; Dawei An; Yinghong Luan; Jianfeng Feng; Lichang Zhang (Remote. Sens., 2024)

HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations. - Xin Du 002; Minglong Wang; Zhihui Lu 002; Qiang Duan; Yuhao Liu; Jianfeng Feng; Huarui Wang (IEEE Trans. Parallel Distributed Syst., 2024)

Softmax-Free Linear Transformers. - Jiachen Lu; Junge Zhang; Xiatian Zhu; Jianfeng Feng; Tao Xiang 002; Li Zhang 040 (Int. J. Comput. Vis., 2024)

Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways. - Bo Gu; Jianfeng Feng; Zhuoyi Song (Adv. Intell. Syst., 2024)

RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM With Neural Radiance Fields. - Haochen Jiang; Yueming Xu; Kejie Li; Jianfeng Feng; Li Zhang 040 (IEEE Robotics Autom. Lett., 2024)

Vision Transformers: From Semantic Segmentation to Dense Prediction. - Li Zhang 040; Jiachen Lu; Sixiao Zheng; Xinxuan Zhao; Xiatian Zhu; Yanwei Fu 001; Tao Xiang 002; Jianfeng Feng; Philip H. S. Torr (Int. J. Comput. Vis., 2024)

Simulation and assimilation of the digital human brain. - Wenlian Lu; Xin Du 002; Jiexiang Wang; Longbin Zeng; Leijun Ye; Shitong Xiang; Qibao Zheng; Jie Zhang 012; Ningsheng Xu; Jianfeng Feng (Nat. Comput. Sci., 2024)

Attention-guided multi-scale temporal interaction diffusion model for 3D human motion generation. - Hongye Yang; Jianfeng Feng (Neurocomputing, 2025)

HiFi-Syn: Hierarchical granularity discrimination for high-fidelity synthesis of MR images with structure preservation. - Ziqi Yu; Botao Zhao 001; Shengjie Zhang; Xiang Chen; Fuhua Yan; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (Medical Image Anal., 2025)

Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks. - Zhichao Zhu; Yang Qi; Wenlian Lu; Zhigang Wang; Lu Cao; Jianfeng Feng (Neural Comput., 2025)

Modeling the interplay between regional heterogeneity and critical dynamics underlying brain functional networks. - Jijin Zhang; Kejian Wu; Jiaqi Dong; Jianfeng Feng; Lianchun Yu (Neural Networks, 2025)

UL-SLAM: A Universal Monocular Line-Based SLAM Via Unifying Structural and Non-Structural Constraints. - Haochen Jiang; Rui Qian; Liang Du 004; Jian Pu; Jianfeng Feng (IEEE Trans Autom. Sci. Eng., 2025)

Making Your Dreams A Reality: Decoding the Dreams into a Coherent Video Story from fMRI Signals. - Yanwei Fu 001; Jianxiong Gao; Baofeng Yang; Jianfeng Feng (CoRR, 2025)

CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing. - Jianxiong Gao; Yichang Liu; Baofeng Yang; Jianfeng Feng; Yanwei Fu 001 (CoRR, 2025)

DecoFuse: Decomposing and Fusing the "What", "Where", and "How" for Brain-Inspired fMRI-to-Video Decoding. - Chong Li 007; Jingyang Huo; Weikang Gong; Yanwei Fu 001; Xiangyang Xue 001; Jianfeng Feng (CoRR, 2025)

Stochastic Forward-Forward Learning through Representational Dimensionality Compression. - Zhichao Zhu; Yang Qi; Hengyuan Ma; Wenlian Lu; Jianfeng Feng (CoRR, 2025)

Latent Structured Hopfield Network for Semantic Association and Retrieval. - Chong Li 007; Xiangyang Xue 001; Jianfeng Feng; Taiping Zeng (CoRR, 2025)

Topo-Field: Topometric Mapping With Brain-Inspired Hierarchical Layout-Object-Position Fields. - Jiawei Hou; Wenhao Guan; Longfei Liang; Jianfeng Feng; Xiangyang Xue 001; Taiping Zeng (IEEE Robotics Autom. Lett., 2025)

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research. - Jun-Hsiang Yao; Mingzheng Li; Jiayi Liu; Yuxiao Li 002; Jielin Feng; Jun Han 010; Qibao Zheng; Jianfeng Feng; Siming Chen 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Preconditioned Score-Based Generative Models. - Hengyuan Ma; Xiatian Zhu; Jianfeng Feng; Li Zhang 040 (Int. J. Comput. Vis., 2025)

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation. - Jianxiong Gao; Zhaoxi Chen 009; Xian Liu; Jianfeng Feng; Chenyang Si; Yanwei Fu 001; Yu Qiao 001; Ziwei Liu 002 (CoRR, 2025)