1, Zhaofei Yu, Feng Chen*, et al. Emergent Inference of Hidden Markov Models in Spiking Neural Networks through Winner-Take-All. IEEE Transactions on Cybernetics, 50(3),1347-1354,2020.
2, Fang Ying, Feng Chen*, et al. Noise helps optimization escape from saddle points in the synaptic plasticity. Frontiers in Neuroscience, 2020. (accepted)
3, Zhaofei Yu, Feng Chen*, et al. Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. 2019. (accepted)
4, Su, Xin, Feng Chen*, et al. Generative Memory for Lifelong Learning, IEEE transactions on neural networks and learning systems, 2019. (accepted)
5, Fang, Ying, Feng Chen*, et al. A unified neural circuit of causal inference and multisensory integration. Neurocomputing, 358: 355-368, 2019.
6, Yan ,Qi, Chen Feng*, et al. Transferable Environment Model With Disentangled Dynamics. IEEE Access, 7:106848-106860,2019.
7, Chen, Dagui, Chen Feng*, et al. Learning Effective Subgoals with Multi-Task Hierarchical Reinforcement Learning. Workshops on International Joint Conference on Artificial Intelligence, 2019.
8, Fang ,Ying, Feng Chen*, et al. Noise helps optimization escape from saddle points in the neural dynamics. 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 523-528,2019.
9, Wu, Shuang, Feng Chen, et al. Convolution with even-sized kernels and symmetric padding. NIPS, 2019.
10, Pei, Jing, Feng Chen, et al. Towards artificial general intelligence with hybrid Tianjic chip architecture. Nature, 572(7767):106-111,2019.
11, Fan, Jingtao, Feng Chen, et al. Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution. Nature Photonics, 13(11): 809-816,2019.
12, Zhaofei Yu, Feng Chen*, et al. Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 29(11),5761-5766,2018.
13, Shangqi Guo, Feng Chen*, et al. Hierarchical bayesian inference and learning in spiking neural networks. IEEE Transactions on Cybernetics, 49(1), 133-145,2018.
14, Fei Deng, Feng Chen*, et al. Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Transactions on Instrumentation and Measurement. 67(7),1555-1563,2018.
15, Shuang Wu, Feng Chen, et al. Training and Inference with Integers in Deep Neural Networks. ICLR .oral, 2018.
16, Dongqin Cai, Feng Chen, et al. Distinct anatomical connectivity patterns differentiate subdivisions of the nonlemniscal auditory thalamus in mice. Cereb Cortex, 29:2437-2454,2018.
17, Yu, Zhaofei, Chen, Feng*, et al. Neural Network Implementation of Inference on Binary Markov Random Field with Probability Coding. Applied Mathematics and Computation, 301,193-200,2017.
18, Yan ,Qi, Feng Chen*, et al. Revealing structure components of the retina by deep learning networks. The 31st Conference on Neural Information Processing Systems, Symposium on Interpretable Machine Learning, 2017.
19, Z Yu, F Chen*, et al. Sampling-based causal inference in cue combination and its neural implementation.Neurocomputing,175(1),155-165,2016.
20, Dong, Jianwu; Chen, Feng*, et al. Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high-resolution MRI data. Magnetic Resonance in Medicine, 77(3):1353,2016.