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2020 – today
- 2025
[j112]Ziqi Yu
, Botao Zhao, Shengjie Zhang, Xiang Chen, Fuhua Yan, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
HiFi-Syn: Hierarchical granularity discrimination for high-fidelity synthesis of MR images with structure preservation. Medical Image Anal. 100: 103390 (2025)- [j111]Jijin Zhang, Kejian Wu, Jiaqi Dong, Jianfeng Feng, Lianchun Yu:
Modeling the interplay between regional heterogeneity and critical dynamics underlying brain functional networks. Neural Networks 184: 107100 (2025) - 2024
- [j110]Bo Gu, Jianfeng Feng, Zhuoyi Song:
Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways. Adv. Intell. Syst. 6(9) (2024) - [j109]Bo Gu, Jianfeng Feng, Zhuoyi Song:
Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways. Adv. Intell. Syst. 6(9) (2024) - [j108]Yubing Bao, Xin Du, Zhihui Lu, Jirui Yang, Shih-Chia Huang, Jianfeng Feng, Qibao Zheng:
Mitigating critical nodes in brain simulations via edge removal. Comput. Networks 255: 110860 (2024) - [j107]Jiachen Lu, Junge Zhang, Xiatian Zhu, Jianfeng Feng, Tao Xiang, Li Zhang:
Softmax-Free Linear Transformers. Int. J. Comput. Vis. 132(8): 3355-3374 (2024) - [j106]Li Zhang, Jiachen Lu, Sixiao Zheng, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng, Philip H. S. Torr:
Vision Transformers: From Semantic Segmentation to Dense Prediction. Int. J. Comput. Vis. 132(12): 6142-6162 (2024) - [j105]Wenlian Lu, Xin Du, Jiexiang Wang, Longbin Zeng, Leijun Ye, Shitong Xiang, Qibao Zheng, Jie Zhang, Ningsheng Xu, Jianfeng Feng, Yubin Bao, Boyu Chen, Siming Chen, Zhongyu Chen, Fei Dai, Weiyang Ding, Xin Du, Jianfeng Feng, Yubo Hou, Mingda Ji, Peng Ji, Chong Li, Chunhe Li, Xiaoyi Li, Yuhao Liu, Wenlian Lu, Zhihui Lv, Hengyuan Ma, Yang Qi, Edmund T. Rolls, He Wang, Huarui Wang, Shouyan Wang, Ziyi Wang, Yunman Xia, Chao Xie, Xiangyang Xue, Tianping Zeng, Chenfei Zhang, Nan Zhang, Wenyong Zhang, Yicong Zhao:
Simulation and assimilation of the digital human brain. Nat. Comput. Sci. 4(12): 890-898 (2024) - [j104]Wenlian Lu, Xin Du, Jiexiang Wang, Longbin Zeng, Leijun Ye, Shitong Xiang, Qibao Zheng, Jie Zhang, Ningsheng Xu, Jianfeng Feng, Yubin Bao, Boyu Chen, Siming Chen, Zhongyu Chen, Fei Dai, Weiyang Ding, Xin Du, Jianfeng Feng, Yubo Hou, Mingda Ji, Peng Ji, Chong Li, Chunhe Li, Xiaoyi Li, Yuhao Liu, Wenlian Lu, Zhihui Lv, Hengyuan Ma, Yang Qi, Edmund T. Rolls, He Wang, Huarui Wang, Shouyan Wang, Ziyi Wang, Yunman Xia, Chao Xie, Xiangyang Xue, Tianping Zeng, Chenfei Zhang, Nan Zhang, Wenyong Zhang, Yicong Zhao:
Simulation and assimilation of the digital human brain. Nat. Comput. Sci. 4(12): 890-898 (2024) - [j103]Wenyong Zhang, Boyu Chen, Jianfeng Feng, Wenlian Lu:
On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks. Neural Networks 171: 293-307 (2024) - [j102]Zhichao Zhu, Yang Qi, Wenlian Lu, Jianfeng Feng:
Learning to integrate parts for whole through correlated neural variability. PLoS Comput. Biol. 20(9): 1012401 (2024) - [j101]Haochen Jiang, Yueming Xu, Kejie Li, Jianfeng Feng, Li Zhang:
RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM With Neural Radiance Fields. IEEE Robotics Autom. Lett. 9(9): 7509-7516 (2024) - [j100]Yanmeng Bi, Jun Yang, Caiying Wei, Fangli Dou, Weiwei Xu, Dawei An, Yinghong Luan, Jianfeng Feng, Lichang Zhang:
Atmospheric Temperature Measurements Using Microwave Hyper-Spectrum from Geostationary Satellite: Band Design, Weighting Functions and Information Content. Remote. Sens. 16(2): 289 (2024) - [j99]Xin Du, Minglong Wang, Zhihui Lu, Qiang Duan, Yuhao Liu, Jianfeng Feng, Huarui Wang:
HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations. IEEE Trans. Parallel Distributed Syst. 35(6): 901-918 (2024) - [c44]Jingyang Huo, Yikai Wang, Yun Wang, Xuelin Qian, Chong Li, Yanwei Fu, Jianfeng Feng:
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation. ECCV (51) 2024: 56-73 - [c43]Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu:
MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain. ECCV (47) 2024: 312-329 - [c42]Haochen Jiang, Yueming Xu, Yihan Zeng, Hang Xu, Wei Zhang, Jianfeng Feng, Li Zhang:
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation. IROS 2024: 1145-1152 - [i37]Zhichao Zhu, Yang Qi, Wenlian Lu, Jianfeng Feng:
Learn to integrate parts for whole through correlated neural variability. CoRR abs/2401.00746 (2024) - [i36]Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang:
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. CoRR abs/2401.02141 (2024) - [i35]Hengyuan Ma, Wenlian Lu, Jianfeng Feng:
Efficient Combinatorial Optimization via Heat Diffusion. CoRR abs/2403.08757 (2024) - [i34]Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng:
Decoding Continuous Character-based Language from Non-invasive Brain Recordings. CoRR abs/2403.11183 (2024) - [i33]Haochen Jiang, Yueming Xu, Yihan Zeng, Hang Xu, Wei Zhang, Jianfeng Feng, Li Zhang:
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation. CoRR abs/2403.11796 (2024) - [i32]Jingyang Huo, Yikai Wang, Xuelin Qian, Yun Wang, Chong Li, Jianfeng Feng, Yanwei Fu:
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation. CoRR abs/2403.18211 (2024) - [i31]Zhichao Zhu, Yang Qi, Wenlian Lu, Zhigang Wang, Lu Cao, Jianfeng Feng:
Towards free-response paradigm: a theory on decision-making in spiking neural networks. CoRR abs/2404.10599 (2024) - [i30]Li Zhang, Yuankun Yang, Ziyang Xie, Zhiyuan Yuan, Jianfeng Feng, Xiatian Zhu, Yu-Gang Jiang:
Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation. CoRR abs/2405.15239 (2024) - [i29]Haochen Jiang, Yueming Xu, Kejie Li, Jianfeng Feng, Li Zhang:
RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM with Neural Radiance Fields. CoRR abs/2407.01303 (2024) - [i28]Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu:
fMRI-3D: A Comprehensive Dataset for Enhancing fMRI-based 3D Reconstruction. CoRR abs/2409.11315 (2024) - [i27]Yueming Xu, Haochen Jiang, Zhongyang Xiao, Jianfeng Feng, Li Zhang:
DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization. CoRR abs/2411.08373 (2024) - [i26]Hengyuan Ma, Wenlian Lu, Jianfeng Feng:
Uncertainty Quantification in Working Memory via Moment Neural Networks. CoRR abs/2411.14196 (2024) - 2023
- [j98]Hengyuan Ma, Yang Qi, Pulin Gong, Jie Zhang, Wenlian Lu, Jianfeng Feng:
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes. Neural Comput. 35(11): 1820-1849 (2023) - [j97]Bang-Sheng Wu, Yi-Jun Ge, Wei Zhang, Shi-Dong Chen, Shitong Xiang, Ya-Ru Zhang, Ya-Nan Ou, Yu-Chao Jiang, Lan Tan, Wei Cheng, John Suckling, Jianfeng Feng, Jin-Tai Yu, Ying Mao:
Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. NeuroImage 269: 119928 (2023) - [j96]Shitong Xiang, Tianye Jia, Chao Xie, Zhichao Zhu, Wei Cheng, Gunter Schumann, Trevor W. Robbins, Jianfeng Feng:
Fractionation of neural reward processing into independent components by novel decoding principle. NeuroImage 284: 120463 (2023) - [j95]Leijun Ye, Jianfeng Feng, Chunhe Li:
Controlling brain dynamics: Landscape and transition path for working memory. PLoS Comput. Biol. 19(9) (2023) - [j94]Mohan Chen, Li Zhang, Rui Feng, Xiangyang Xue, Jianfeng Feng:
Rethinking Local and Global Feature Representation for Dense Prediction. Pattern Recognit. 135: 109168 (2023) - [j93]Jianfeng Feng:
Simulating the whole brain as an alternative way to achieve AGI. Quant. Biol. 11(4): 471-473 (2023) - [j92]Sixiao Zheng, Ke Fan, Yanxi Hou, Jianfeng Feng, Yanwei Fu:
Clustering by the Probability Distributions From Extreme Value Theory. IEEE Trans. Artif. Intell. 4(2): 292-303 (2023) - [j91]Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. IEEE Trans. Medical Imaging 42(4): 1197-1209 (2023) - [j90]Yuxiao Li, Xinhong Li, Siqi Shen, Longbin Zeng, Richen Liu, Qibao Zheng, Jianfeng Feng, Siming Chen:
DTBVis: An interactive visual comparison system for digital twin brain and human brain. Vis. Informatics 7(2): 41-53 (2023) - [c41]Jiayi Han, Ang Li, Donghong Han, Jianfeng Feng:
Learning Effective Global Receptive Field for Facial Expression Recognition. FG 2023: 1-7 - [c40]Yifei Zhang, Yougao Li, Xiangyang Xue, Jianfeng Feng, Siming Chen:
Visual Exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment. VR Workshops 2023: 312-318 - [i25]Jiayi Han, Longbin Zeng, Liang Du, Weiyang Ding, Jianfeng Feng:
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. CoRR abs/2301.06013 (2023) - [i24]Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng:
Preconditioned Score-based Generative Models. CoRR abs/2302.06504 (2023) - [i23]Xuelin Qian, Yikai Wang, Yanwei Fu, Xiangyang Xue, Jianfeng Feng:
Semantic Neural Decoding via Cross-Modal Generation. CoRR abs/2303.14730 (2023) - [i22]Yang Qi, Zhichao Zhu, Yiming Wei, Lu Cao, Zhigang Wang, Wenlian Lu, Jianfeng Feng:
Toward spike-based stochastic neural computing. CoRR abs/2305.13982 (2023) - [i21]Hengyuan Ma, Yang Qi, Li Zhang, Wenlian Lu, Jianfeng Feng:
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification. CoRR abs/2305.19265 (2023) - [i20]Wenlian Lu, Longbin Zeng, Xin Du, Wenyong Zhang, Shitong Xiang, Huarui Wang, Jiexiang Wang, Mingda Ji, Yubo Hou, Minglong Wang, Yuhao Liu, Zhongyu Chen, Qibao Zheng, Ningsheng Xu, Jianfeng Feng:
Digital Twin Brain: a simulation and assimilation platform for whole human brain. CoRR abs/2308.01241 (2023) - [i19]Xuelin Qian, Yun Wang, Jingyang Huo, Jianfeng Feng, Yanwei Fu:
fMRI-PTE: A Large-scale fMRI Pretrained Transformer Encoder for Multi-Subject Brain Activity Decoding. CoRR abs/2311.00342 (2023) - [i18]Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation. CoRR abs/2311.12461 (2023) - [i17]Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu:
MinD-3D: Reconstruct High-quality 3D objects in Human Brain. CoRR abs/2312.07485 (2023) - 2022
- [j89]Guiying Dong, Zi-Chao Zhang, Jianfeng Feng, Xing-Ming Zhao:
MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network. Briefings Bioinform. 23(4) (2022) - [j88]Jiayi Han, Liang Du, Xiaoqing Ye, Li Zhang, Jianfeng Feng:
The devil is in the face: Exploiting harmonious representations for facial expression recognition. Neurocomputing 486: 104-113 (2022) - [j87]Xin Du, Yuhao Liu, Zhihui Lu, Qiang Duan, Jianfeng Feng, Jie Wu, Boyu Chen, Qibao Zheng:
A Low-Latency Communication Design for Brain Simulations. IEEE Netw. 36(2): 8-15 (2022) - [j86]Edmund T. Rolls, Zhuo Wan, Wei Cheng, Jianfeng Feng:
Risk-taking in humans and the medial orbitofrontal cortex reward system. NeuroImage 249: 118893 (2022) - [j85]Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Shitong Xiang, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Gunter Schumann, Fengzhu Sun, Jianfeng Feng:
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage 255: 119166 (2022) - [j84]Edmund T. Rolls, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng:
The human language effective connectome. NeuroImage 258: 119352 (2022) - [j83]Ning Hua, Xiangnan He, Jianfeng Feng, Wenlian Lu:
Analytic Investigation for Synchronous Firing Patterns Propagation in Spiking Neural Networks. Neural Process. Lett. 54(5): 3893-3911 (2022) - [j82]Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3467-3478 (2022) - [j81]Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8097-8109 (2022) - [j80]Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng:
SGM3D: Stereo Guided Monocular 3D Object Detection. IEEE Robotics Autom. Lett. 7(4): 10478-10485 (2022) - [c39]Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng:
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. AAAI 2022: 808-816 - [c38]Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng:
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling. ECCV (23) 2022: 1-16 - [c37]Yuhao Liu, Xin Du, Zhihui Lu, Qiang Duan, Jianfeng Feng, Minglong Wang, Jie Wu:
Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers. ICPP 2022: 81:1-81:11 - [i16]Sixiao Zheng, Ke Fan, Yanxi Hou, Jianfeng Feng, Yanwei Fu:
Clustering by the Probability Distributions from Extreme Value Theory. CoRR abs/2202.09784 (2022) - [i15]Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng:
Accelerating Score-based Generative Models for High-Resolution Image Synthesis. CoRR abs/2206.04029 (2022) - [i14]Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng:
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling. CoRR abs/2207.02196 (2022) - [i13]Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng:
Softmax-free Linear Transformers. CoRR abs/2207.03341 (2022) - [i12]Li Zhang, Sixiao Zheng, Jiachen Lu, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng:
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective. CoRR abs/2207.09339 (2022) - [i11]Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. CoRR abs/2208.11658 (2022) - [i10]Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. CoRR abs/2212.01825 (2022) - 2021
- [j79]Xinchun Zhou, Ningning Ma, Benseng Song, Zhixi Wu, Guangyao Liu, Liwei Liu, Lianchun Yu, Jianfeng Feng:
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains. Frontiers Comput. Neurosci. 15: 641335 (2021) - [j78]Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng:
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. NeuroImage 237: 118188 (2021) - [j77]Junya Chen, Jianfeng Feng, Wenlian Lu:
A Wiener Causality Defined by Divergence. Neural Process. Lett. 53(3): 1773-1794 (2021) - [c36]Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang:
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CVPR 2021: 454-463 - [c35]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. CVPR 2021: 6881-6890 - [c34]Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding:
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. ICCV 2021: 2693-2702 - [i9]Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. CoRR abs/2102.03247 (2021) - [i8]Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang:
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CoRR abs/2103.16470 (2021) - [i7]Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Errui Ding, Li Zhang, Xiangyang Xue, Jianfeng Feng:
SGM3D: Stereo Guided Monocular 3D Object Detection. CoRR abs/2112.01914 (2021) - [i6]Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding:
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. CoRR abs/2112.14023 (2021) - 2020
- [j76]Edmund T. Rolls, Chu-Chung Huang, Ching-Po Lin, Jianfeng Feng, Marc Joliot:
Automated anatomical labelling atlas 3. NeuroImage 206 (2020) - [j75]Zhuo Wan, Edmund T. Rolls, Wei Cheng, Jianfeng Feng:
Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex. NeuroImage 215: 116845 (2020) - [j74]Minghua Deng, Jianfeng Feng, Hong Qian, Lin Wan, Fengzhu Sun:
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019. Quant. Biol. 8(2): 177-186 (2020) - [c33]Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen:
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. CVPR 2020: 13326-13335 - [c32]Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen:
Monocular 3D Object Detection via Feature Domain Adaptation. ECCV (9) 2020: 17-34 - [c31]Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang:
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. ICRA 2020: 6868-6875 - [i5]Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang:
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. CoRR abs/2003.00535 (2020) - [i4]Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen:
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. CoRR abs/2006.04356 (2020) - [i3]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. CoRR abs/2012.15840 (2020)
2010 – 2019
- 2019
- [j73]Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng:
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35(19): 3771-3778 (2019) - [j72]Weikang Gong, Fan Cheng, Edmund T. Rolls, Chun-Yi Zac Lo, Chu-Chung Huang, Shih-Jen Tsai, Albert C. Yang, Ching-Po Lin, Jianfeng Feng:
A powerful and efficient multivariate approach for voxel-level connectome-wide association studies. NeuroImage 188: 628-641 (2019) - [c30]Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. AAAI 2019: 8126-8133 - [c29]Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang:
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. ICCV 2019: 982-991 - [c28]Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen, Jianfeng Feng:
Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning. MICCAI (3) 2019: 211-219 - [c27]Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin:
On Fenchel Mini-Max Learning. NeurIPS 2019: 10427-10439 - 2018
- [j71]Weikang Gong, Lin Wan, Wenlian Lu, Liang Ma, Fan Cheng, Wei Cheng, Stefan Grünewald, Jianfeng Feng:
Statistical testing and power analysis for brain-wide association study. Medical Image Anal. 47: 15-30 (2018) - [j70]Zhaowen Liu, Jie Zhang, Xiaohua Xie, Edmund T. Rolls, Jiangzhou Sun, Kai Zhang, Zeyu Jiao, Qunlin Chen, Junying Zhang, Jiang Qiu, Jianfeng Feng:
Neural and genetic determinants of creativity. NeuroImage 174: 164-176 (2018) - [c26]Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue:
Dual Skipping Networks. CVPR 2018: 4071-4079 - [c25]Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin:
Chi-square Generative Adversarial Network. ICML 2018: 4894-4903 - [c24]Junya Chen, Jianfeng Feng, Wenlian Lu:
A Wiener Causality Defined by Relative Entropy. ICONIP (2) 2018: 124-133 - [i2]Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. CoRR abs/1811.06186 (2018) - 2017
- [j69]Chenyang Tao, Jianfeng Feng:
Canonical kernel dimension reduction. Comput. Stat. Data Anal. 107: 131-148 (2017) - [j68]Chenyang Tao, Thomas E. Nichols, Xue Hua, Christopher R. K. Ching, Edmund T. Rolls, Paul M. Thompson, Jianfeng Feng:
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. NeuroImage 144: 35-57 (2017) - [j67]Wei Cheng, Edmund T. Rolls, Jie Zhang, Wenbo Sheng, Liang Ma, Lin Wan, Qiang Luo, Jianfeng Feng:
Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis. NeuroImage 148: 169-178 (2017) - [i1]Changmao Cheng, Yanwei Fu, Wenlian Lu, Yu-Gang Jiang, Jianfeng Feng, Xiangyang Xue:
Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization. CoRR abs/1710.10386 (2017) - 2016
- [j66]Kathrin Cohen Kadosh, Qiang Luo, Calem de Burca, Moses O. Sokunbi, Jianfeng Feng, David E. J. Linden, Jennifer Y. F. Lau:
Using real-time fMRI to influence effective connectivity in the developing emotion regulation network. NeuroImage 125: 616-626 (2016) - [c23]Nicola Politi, Jianfeng Feng, Wenlian Lu:
Comparing data assimilation filters for parameter estimation in a neuron model. IJCNN 2016: 4767-4774 - 2014
- [c22]Chenyang Tao, Wei Lin, Jianfeng Feng:
Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization. Neural Connectomics 2014: 55-64 - 2013
- [j65]Qiang Luo, Wenlian Lu, Wei Cheng, Pedro A. Valdés-Sosa, Xiaotong Wen, Mingzhou Ding, Jianfeng Feng:
Spatio-temporal Granger causality: A new framework. NeuroImage 79: 241-263 (2013) - [j64]Qiang Luo, Tian Ge, Fabian Grabenhorst, Jianfeng Feng, Edmund T. Rolls:
Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise. PLoS Comput. Biol. 9(10) (2013) - [j63]Tian Ge, Gunter Schumann, Jianfeng Feng:
Imaging genetics - towards discovery neuroscience. Quant. Biol. 1(4): 227-245 (2013) - [c21]Xiangnan He, Wenlian Lu, Jianfeng Feng:
Neuronal Synfire Chain via Moment Neuronal Network Approach. ICONIP (1) 2013: 191-198 - 2012
- [j62]Tian Ge, Jianfeng Feng, Fabian Grabenhorst, Edmund T. Rolls:
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 59(2): 1846-1858 (2012) - [j61]Tian Ge, Jianfeng Feng, Derrek P. Hibar, Paul M. Thompson, Thomas E. Nichols:
Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. NeuroImage 63(2): 858-873 (2012) - [j60]Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston, Jianfeng Feng:
A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons. PLoS Comput. Biol. 8(3) (2012) - [j59]Tian Ge, Wei Lin, Jianfeng Feng:
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems. IEEE Trans. Autom. Control. 57(2): 500-505 (2012) - [j58]Bo Yang, Jiming Liu, Jianfeng Feng:
On the Spectral Characterization and Scalable Mining of Network Communities. IEEE Trans. Knowl. Data Eng. 24(2): 326-337 (2012) - 2011
- [j57]Qiang Luo, Tian Ge, Jianfeng Feng:
Granger causality with signal-dependent noise. NeuroImage 57(4): 1422-1429 (2011) - [j56]Jing Kang, Bing Xu, Ye Yao, Wei Lin, Conor Hennessy, Peter Fraser, Jianfeng Feng:
A Dynamical Model Reveals Gene Co-Localizations in Nucleus. PLoS Comput. Biol. 7(7) (2011) - [p1]Tian Ge, Jianfeng Feng:
Granger Causality: Its Foundation and Applications in Systems Biology. Handbook of Research on Computational and Systems Biology 2011: 511-532 - 2010
- [j55]Enrico Rossoni, Jing Kang, Jianfeng Feng:
Controlling precise movement with stochastic signals. Biol. Cybern. 102(5): 441-450 (2010) - [j54]Cunlu Zou, Christophe Ladroue, Shuixia Guo, Jianfeng Feng:
Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach. BMC Bioinform. 11: 337 (2010) - [j53]Wenlian Lu, Enrico Rossoni, Jianfeng Feng:
On a Gaussian neuronal field model. NeuroImage 52(3): 913-933 (2010) - [j52]Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small:
Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait. PLoS Comput. Biol. 6(12) (2010) - [c20]Tian Ge, Wenlian Lu, Jianfeng Feng:
Find synaptic topology from spike trains. IJCNN 2010: 1-6 - [c19]Wenlian Lu, Jianfeng Feng:
On Gaussian random neuronal field model: Moment neuronal network approach. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j51]Yang Zhan, Shuixia Guo, Keith M. Kendrick, Jianfeng Feng:
Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters. Biosyst. 96(1): 1-13 (2009) - [j50]Cunlu Zou, Katherine J. Denby, Jianfeng Feng:
Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinform. 10: 401 (2009) - [j49]Cunlu Zou, Jianfeng Feng:
Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinform. 10 (2009) - [j48]Jianhua Wu, James L. Sinfield, Vicky Buchanan-Wollaston, Jianfeng Feng:
Impact of environmental inputs on reverse-engineering approach to network structures. BMC Syst. Biol. 3: 113 (2009) - [j47]Xuejuan Zhang, Gongqiang You, Tianping Chen, Jianfeng Feng:
Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution. Neural Comput. 21(11): 3079-3105 (2009) - [j46]Tian Ge, Keith M. Kendrick, Jianfeng Feng:
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning. PLoS Comput. Biol. 5(11) (2009) - [j45]Yuanqing Li, Praneeth Namburi, Zhuliang Yu, Cuntai Guan, Jianfeng Feng, Zhenghui Gu:
Voxel Selection in fMRI Data Analysis Based on Sparse Representation. IEEE Trans. Biomed. Eng. 56(10): 2439-2451 (2009) - 2008
- [j44]Cong Zhou, Lucas D. Bowler, Jianfeng Feng:
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data. BMC Bioinform. 9 (2008) - [j43]Shuixia Guo, Jianhua Wu, Mingzhou Ding, Jianfeng Feng:
Uncovering Interactions in the Frequency Domain. PLoS Comput. Biol. 4(5) (2008) - [j42]Enrico Rossoni, Jianfeng Feng, Brunello Tirozzi, David Brown, Gareth Leng, Françoise Moos:
Emergent Synchronous Bursting of Oxytocin Neuronal Network. PLoS Comput. Biol. 4(7) (2008) - [j41]Phill Rowcliffe, Jianfeng Feng:
Training Spiking Neuronal Networks With Applications in Engineering Tasks. IEEE Trans. Neural Networks 19(9): 1626-1640 (2008) - [c18]Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu:
On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence 2008: 127-133 - 2007
- [j40]Enrico Rossoni, Jianfeng Feng:
Decoding spike train ensembles: tracking a moving stimulus. Biol. Cybern. 96(1): 99-112 (2007) - [j39]Jianhua Wu, Keith M. Kendrick, Jianfeng Feng:
A novel approach to detect hot-spots in large-scale multivariate data. BMC Bioinform. 8 (2007) - [j38]Shouyan Wang, Yonghong Chen, Mingzhou Ding, Jianfeng Feng, John F. Stein, Tipu Z. Aziz, Xing Liu:
Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor. J. Frankl. Inst. 344(3-4): 180-195 (2007) - [j37]Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi, Gongqiang You:
Optimal movement control models of Langevin and Hamiltonian types. Math. Comput. Model. 46(5-6): 680-698 (2007) - [j36]Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
A Geometrical Method to Improve Performance of the Support Vector Machine. IEEE Trans. Neural Networks 18(3): 942-947 (2007) - 2006
- [j35]Benoît Gaillard, Hilary Buxton, Jianfeng Feng:
Population approach to a neural discrimination task. Biol. Cybern. 94(3): 180-191 (2006) - [j34]Simon Durrant, Jianfeng Feng:
Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns. Biol. Cybern. 95(5): 431-453 (2006) - [j33]Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Spiking perceptrons. IEEE Trans. Neural Networks 17(3): 803-807 (2006) - [c17]Si Wu, Jianfeng Feng, Shun-ichi Amari:
The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6 - 2005
- [j32]Jianfeng Feng, Enrico Ferraro, Brunello Tirozzi:
Impact of temperature and pH value on the stability of hGHRH: An MD approach, . Math. Comput. Model. 41(10): 1157-1170 (2005) - [j31]KangWoo Lee, Hilary Buxton, Jianfeng Feng:
Cue-guided search: a computational model of selective attention. IEEE Trans. Neural Networks 16(4): 910-924 (2005) - [c16]Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
Scaling the Kernel Function to Improve Performance of the Support Vector Machine. ISNN (1) 2005: 831-836 - 2004
- [j30]Zimbul Albo, Gonzalo Viana Di Prisco, Yonghong Chen, Govindan Rangarajan, Wilson A. Truccolo, Jianfeng Feng, Robert P. Vertes, Mingzhou Ding:
Is partial coherence a viable technique for identifying generators of neural oscillations? Biol. Cybern. 90(5): 318-326 (2004) - [j29]Guibin Li, Jianfeng Feng:
Stimulus-evoked synchronization in neuronal models. Neurocomputing 58-60: 203-208 (2004) - [j28]Jianfeng Feng, David Brown:
Decoding Input Signals in Time Domain - A Model Approach. J. Comput. Neurosci. 16(3): 237-249 (2004) - 2003
- [j27]Jianfeng Feng, Yunlian Sun, Hilary Buxton, Gang Wei:
Training integrate-and-fire neurons with the Informax principle II. IEEE Trans. Neural Networks 14(2): 326-336 (2003) - [j26]Eleni Vasilaki, Jianfeng Feng, Hilary Buxton:
Temporal album. IEEE Trans. Neural Networks 14(2): 439-443 (2003) - [c15]Jianfeng Feng:
The Minimum-Variance Theory Revisited. IWANN (1) 2003: 62-69 - 2002
- [j25]Jianfeng Feng:
Training neuron models with the Informax principle. Neurocomputing 44-46: 97-101 (2002) - [j24]Ping Zhang, Jianfeng Feng:
Ideal observer of single neuron activity. Neurocomputing 44-46: 243-247 (2002) - [j23]Jianfeng Feng, Guibin Li:
Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis. Neural Comput. 14(3): 621-640 (2002) - [c14]Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Clustering within Integrate-and-Fire Neurons for Image Segmentation. ICANN 2002: 69-74 - 2001
- [j22]David Brown, Stuart Feerick, Jianfeng Feng:
Significance of random neuronal drive. Neurocomputing 38-40: 111-119 (2001) - [j21]Stuart Feerick, Jianfeng Feng, David Brown:
Inhibitory inputs increase a neurons's firing rate. Neurocomputing 38-40: 197-203 (2001) - [j20]Jianfeng Feng, Guibin Li:
Behaviour of two-compartment models. Neurocomputing 38-40: 205-211 (2001) - [j19]Andrew P. Davison, Jianfeng Feng, David Brown:
Spike synchronization in a biophysically-detailed model of the olfactory bulb. Neurocomputing 38-40: 515-521 (2001) - [j18]Jianfeng Feng:
Is the integrate-and-fire model good enough?--a review. Neural Networks 14(6-7): 955-975 (2001) - [j17]Jianfeng Feng, Peter Williams:
The generalization error of the symmetric and scaled support vector machines. IEEE Trans. Neural Networks 12(5): 1255-1260 (2001) - [c13]Jianfeng Feng:
Neuronal Models with Current Inputs. IWANN (1) 2001: 47-54 - [c12]Jianfeng Feng:
Non-symmetric Support Vector Machines. IWANN (1) 2001: 418-426 - 2000
- [j16]David Brown, Jianfeng Feng:
Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model. Neurocomputing 32-33: 61-66 (2000) - [j15]Stuart Feerick, Jianfeng Feng, David Brown:
Random pulse input versus continuous current plus white noise: Are they equivalent? Neurocomputing 32-33: 127-132 (2000) - [j14]Jianfeng Feng:
Synchronization driven by correlated inputs. Neurocomputing 32-33: 371-378 (2000) - [j13]Jianfeng Feng, David Brown:
Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model. Neural Comput. 12(3): 671-692 (2000)
1990 – 1999
- 1999
- [j12]Jianfeng Feng, David Brown:
Coefficient of variation of interspike intervals greater than 0.5. How and when? Biol. Cybern. 80(5): 291-297 (1999) - [j11]David Brown, Jianfeng Feng:
Is there a problem matching real and model CV(ISI)? Neurocomputing 26-27: 87-91 (1999) - [j10]Jianfeng Feng:
Origin of firing varibility of the integrate-and-fire model. Neurocomputing 26-27: 117-122 (1999) - [c11]Andrew P. Davison, Jianfeng Feng, David Brown:
Structure of Lateral Inhibition in an Olfactory Bulb Model. IWANN (1) 1999: 189-196 - [c10]David Brown, Jianfeng Feng:
Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model. IWANN (1) 1999: 197-205 - [c9]Stuart Feerick, Jianfeng Feng, David Brown:
Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. IWANN (1) 1999: 221-229 - [c8]Jianfeng Feng:
Integrate-and-Fire Model with Correlated Inputs. IWANN (1) 1999: 258-267 - [c7]Jianfeng Feng:
Estimating Exact Form of Generalisation Errors. IWANN (1) 1999: 413-420 - 1998
- [j9]Jianfeng Feng, David Brown:
Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model. Biol. Cybern. 78(5): 369-376 (1998) - [j8]Jianfeng Feng, David Brown:
Fixed Point Attractor Analysis for a Class of Neurodynamics. Neural Comput. 10(1): 189-214 (1998) - [c6]Jianfeng Feng, Brunello Tirozzi, David Brown:
Output jitter diverges to infinity, converges to zero or remains constant. ESANN 1998: 39-48 - [c5]Jianfeng Feng, David Brown:
What is observable in a class of neurodynamics? ESANN 1998: 149-154 - 1997
- [j7]Jianfeng Feng, Brunello Tirozzi:
Convergence theorems for a class of learning algorithms with VLRPs. Neurocomputing 15(1): 45-68 (1997) - [j6]Jianfeng Feng, Brunello Tirozzi:
A discrete version of the dynamic link network. Neurocomputing 15(2): 91-106 (1997) - [j5]Jianfeng Feng:
Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics. Neural Comput. 9(1): 43-49 (1997) - [j4]Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space. Neural Networks 10(4): 705-720 (1997) - [c4]Jianfeng Feng, David Brown:
Viewing a Class of Neurodynamics on Parameter Space. IWANN 1997: 546-555 - 1996
- [j3]Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
On Neurodynamics with Limiter Function and Linsker's Developmental Model. Neural Comput. 8(5): 1003-1019 (1996) - [j2]Jianfeng Feng, David Brown:
A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics. Neural Process. Lett. 4(1): 9-16 (1996) - 1995
- [j1]Jianfeng Feng:
Establishment of topological maps - a model study. Neural Process. Lett. 2(6): 9-12 (1995) - [c3]Jianfeng Feng, Brunello Tirozzi:
An Application of the Saturated Attractor Analysis to Three Typical Models. IWANN 1995: 353-360 - 1994
- [c2]Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
A Rigorous Analysis of Linsker-Type Hebbian Learning. NIPS 1994: 319-326 - 1993
- [c1]Jianfeng Feng, Hong Pan:
Analysis of Linsker-type Hebbian learning: rigorous results. ICNN 1993: 1516-1521
Coauthor Index
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