| 2025 | CogSci | Towards a Vision-Language Episodic Memory Framework: Large-scale Pretrained Model-Augmented Hippocampal Attractor Dynamics. | Chong Li, Taiping Zeng, Xiangyang Xue, Jianfeng Feng |
| 2024 | ECCV | MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain. | Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu |
| 2024 | ECCV | NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation. | Jingyang Huo, Yikai Wang, Yun Wang, Xuelin Qian, Chong Li, Yanwei Fu, Jianfeng Feng |
| 2024 | IROS | OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation. | Haochen Jiang, Yueming Xu, Yihan Zeng, Hang Xu, Wei Zhang, Jianfeng Feng, Li Zhang |
| 2023 | VR | Visual Exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment. | Yifei Zhang, Yougao Li, Xiangyang Xue, Jianfeng Feng, Siming Chen |
| 2022 | AAAI | Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. | Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng |
| 2022 | ECCV | Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling. | Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng |
| 2022 | ICPP | Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers. | Yuhao Liu, Xin Du, Zhihui Lu, Qiang Duan, Jianfeng Feng, Minglong Wang, Jie Wu |
| 2021 | CVPR | Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. | Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang |
| 2021 | CVPR | 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, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang |
| 2021 | ICCV | The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. | Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding |
| 2020 | CVPR | Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. | Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen |
| 2020 | ECCV | Monocular 3D Object Detection via Feature Domain Adaptation. | Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen |
| 2020 | ICRA | 3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. | Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang |
| 2019 | AAAI | GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. | Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng |
| 2019 | ICCV | SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. | Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang |
| 2019 | MICCAI | Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning. | Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen, Jianfeng Feng |
| 2018 | CVPR | Dual Skipping Networks. | Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue |
| 2018 | ICML | Chi-square Generative Adversarial Network. | Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin |
| 2018 | ICONIP | A Wiener Causality Defined by Relative Entropy. | Junya Chen, Jianfeng Feng, Wenlian Lu |
| 2016 | IJCNN | Comparing data assimilation filters for parameter estimation in a neuron model. | Nicola Politi, Jianfeng Feng, Wenlian Lu |
| 2013 | ICONIP | Neuronal Synfire Chain via Moment Neuronal Network Approach. | Xiangnan He, Wenlian Lu, Jianfeng Feng |
| 2010 | IJCNN | Find synaptic topology from spike trains. | Tian Ge, Wenlian Lu, Jianfeng Feng |
| 2010 | IJCNN | On Gaussian random neuronal field model: Moment neuronal network approach. | Wenlian Lu, Jianfeng Feng |
| 2006 | ISNN | The Ideal Noisy Environment for Fast Neural Computation. | Si Wu, Jianfeng Feng, Shun-ichi Amari |
| 2005 | ISNN | Scaling the Kernel Function to Improve Performance of the Support Vector Machine. | Peter Williams, Sheng Li, Jianfeng Feng, Si Wu |
| 2003 | IWANN | The Minimum-Variance Theory Revisited. | Jianfeng Feng |
| 2002 | ICANN | Clustering within Integrate-and-Fire Neurons for Image Segmentation. | Phill Rowcliffe, Jianfeng Feng, Hilary Buxton |
| 2001 | IWANN | Neuronal Models with Current Inputs. | Jianfeng Feng |
| 2001 | IWANN | Non-symmetric Support Vector Machines. | Jianfeng Feng |
| 1999 | IWANN | Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model. | David Brown, Jianfeng Feng |
| 1999 | IWANN | Structure of Lateral Inhibition in an Olfactory Bulb Model. | Andrew P. Davison, Jianfeng Feng, David Brown |
| 1999 | IWANN | Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. | Stuart Feerick, Jianfeng Feng, David Brown |
| 1999 | IWANN | Integrate-and-Fire Model with Correlated Inputs. | Jianfeng Feng |
| 1999 | IWANN | Estimating Exact Form of Generalisation Errors. | Jianfeng Feng |
| 1998 | ESANN | What is observable in a class of neurodynamics? | Jianfeng Feng, David Brown |
| 1998 | ESANN | Output jitter diverges to infinity, converges to zero or remains constant. | Jianfeng Feng, Brunello Tirozzi, David Brown |
| 1997 | IWANN | Viewing a Class of Neurodynamics on Parameter Space. | Jianfeng Feng, David Brown |
| 1995 | IWANN | An Application of the Saturated Attractor Analysis to Three Typical Models. | Jianfeng Feng, Brunello Tirozzi |