1.2020/11-至今，福建师范大学, 计算机与网络空间安全学院, 副教授

2.2014/08–2020/10, 清华大学, 自动化, 工学博士, 导师: 陈峰

3.2010/09–2014/07, 西安交通大学, 自动化,工学学士

1. 福建省自然科学基金面上项目，发掘时间序列之间动态变化的因果关系，2022.03-2025.03，主持

2. 国家自然科学基金面上项目，61671266，基于概率图模型的大规模视觉皮层脉冲神经网络计算机理研究，2017/01-2020/12，参与

3. 国家高技术研究发展计划（863计划），2015AA042306，面向非结构化环境理解的仿生眼感知与识别，2015/06-2018/12，参与

4. 清华大学自主科研计划，2014Z99008，类脑计算系统预研，2014/10-2015/09，参与

期刊论文

1）Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang*, Feng Chen*,

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning,Knowledge-Based Systems,Volume 273, 110613，2023.

2）Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang*, Feng Chen*, Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers, the Twelfth International Conference on Learning Representations(ICLR) ,2024

3）Li, Haoran and Wan, Bo and Fang, Ying* and Li, Qifeng* and Liu, Jian K and An, Lingling, An FPGA implementation of Bayesian inference with spiking neural networks, Frontiers in Neuroscience, Volumn 17, 1291051, 2024

4）Liu, Yuqian, Chujie Zhao, Yizhou Jiang, Ying Fang*, and Feng Chen*. LDD: High-Precision Training of Deep Spiking Neural Network Transformers Guided by an Artificial Neural Network. Biomimetics. 9(7):413，2024

5）Zhile Yang; Shangqi Guo*; Ying Fang; Jian K. Liu*; Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks, 33rd British Machine Vision，Conference, The Kia Oval, London, 2022-11-21至2022-11-24

6）Ying Fang; Zhaofei Yu; Jian Liu; Feng Chen*; A unified neural circuit of causal inference and multisensory integration, Neurocomputing, 2019, 358: 355­368.

7）Ying Fang; Zhaofei Yu; Feng Chen*; Noise helps optimization escape from saddle points in the synaptic plasticity, Frontiers in Neuroscience, 2020, 14:343.