傅沁冰副教授
一、基本信息
1.傅沁冰博士，副教授，碩士生導(dǎo)師
2.研究領(lǐng)域： 計(jì)算神經(jīng)科學(xué)、神經(jīng)網(wǎng)絡(luò)、運(yùn)動感知、機(jī)器人
3.辦公地點(diǎn)： 電子信息實(shí)驗(yàn)樓610室
4.辦公電話：+8613518187096
5.電子郵箱：qifu@gzhu.edu.cn
二、個人簡介
傅沁冰于2018年10月被英國林肯大學(xué)授予博士學(xué)位，2019年-2021年工作于廣州大學(xué)（博士后），2021年12月正式入職廣州大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院。共發(fā)表學(xué)術(shù)論文60余篇，其中包括IEEE Transactions期刊、Neural Networks等知名期刊。研究領(lǐng)域主要圍繞類腦智能中的運(yùn)動感知與機(jī)器視覺應(yīng)用，是多個頂級期刊的評審，擔(dān)任SCI期刊的客座主編。
三、教育背景
2014-2018 英國林肯大學(xué) 博士學(xué)位
2011-2014 英國林肯大學(xué) 碩士學(xué)位
2005-2009 電子科技大學(xué) 學(xué)士學(xué)位
四、職業(yè)經(jīng)歷
1.學(xué)術(shù)工作經(jīng)歷
2024-至今 廣州大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院 副教授
2021-2024 廣州大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院 講師
2019-2021 廣州大學(xué) 博士后
2. 海外工作經(jīng)歷
無
五、教授課程
信息科學(xué)類課程
六、科研服務(wù)
2023-2027 國家自然科學(xué)基金面上項(xiàng)目 主持
2022-2025 教育部社科司項(xiàng)目 主持
2020-至今 國家自然科學(xué)基金重點(diǎn)項(xiàng)目 參與
七、研究成果
近5年期刊論著目錄
[1] Z. Dai, Q. Fu, J. Peng, H. Li, “SloN: a spiking looming perception network exploiting neural encoding and processing in ON/OFF channels”, Frontiers in Neuroscience, 2024.
[2] Z. Qin, Q. Fu, J. Peng, “A computationally efficient and robust looming perception model based on dynamic neural field”, Neural Networks, 2024.
[3] Z. Chang, Q. Fu, M. Hua, J. Peng, “Feedback neural computation in collision perception: Towards diverse selectivity”, Neurocomputing, 2024.
[4] J. Hong, X. Sun, J. Peng, Q. Fu, “A Bio-Inspired Probabilistic Neural Network Model for Noise-Resistant Collision Perception”, Biomimetics, 2024.
[5] X. Sun, C. Hu, T. Liu, S. Yue, J. Peng, Q. Fu, “Translating Virtual Prey-Predator Interaction to Real-World Robotic Environments: Enabling Multimodal Sensing and Evolutionary Dynamics”, Biomimetics, 2023.
[6] Q. Fu, “Motion perception based on ON/OFF channels: A survey”, Neural Networks, 2023.
[7] X. Sun, Q. Fu, J. Peng, S. Yue, “An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance”, Neural Networks, 2023.
[8] Z. Chang, Q. Fu, H. Chen, H. Li, J. Peng, “A look into feedback neural computation upon collision selectivity”, Neural Networks, 2023
[9] H. Luan, M. Hua, Y. Zhang, S. Yue, Q. Fu, “A BLG1 neural model implements the unique looming selectivity to diving target”, Optoelectronics Letters, 2023.
[10] Q. Fu, Z. Li, J. Peng, “Harmonizing motion and contrast vision for robust looming detection”, Array, 2022.
[11] H. Luan, Q. Fu, Y. Zhang, M. Hua, S. Chen, S. Yue, “A looming spatial localization neural network inspired by MLG1 neurons in the crab Neohelice”, Frontiers in Neuroscience, 2022.
[12] T. Liu, X. Sun, C. Hu, Q. Fu, S. Yue, “A multiple pheromone communication system for swarm intelligence”, IEEE Access, 2021.
[13] Q. Fu, X. Sun, T. Liu, C. Hu, S. Yue, “Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic”, Frontiers in Robotics and AI, 2021.
[14] H. Isakhani, N. Bellotto, Q. Fu, S. Yue, “Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots”, Journal of Computational Design and Engineering, 2021.
[15] H. Wang, Q. Fu, H. Wang, P. Baxter, J. Peng, S. Yue, “A bioinspired angular velocity decoding neural network model for visually guided flights”, Neural Networks, 2021.
[16] Q. Fu, H. Wang, J. Peng, S. Yue, “Improved collision perception neuronal system model with adaptive inhibition mechanism and evolutionary learning”, IEEE Access, 2020.
[17] Q. Fu, S. Yue, “Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds”, Biological Cybernetics, 2020.
[18] Q. Fu, C. Hu, J. Peng, F. C. Rind, S. Yue, “A robust collision perception visual neural network with specific selectivity to darker objects”, IEEE Transactions on Cybernetics, 2020.
[19] Q. Fu, H. Wang, C. Hu, S. Yue, “Towards computational models and applications of insect visual systems for motion perception: A review”, Artificial Life, 2019.
[20] Q. Fu, C. Hu, J. Peng, S. Yue, “Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation”, Neural Networks, 2018.
