• 2000年6月, 获得苏州大学硕士学位
• 2003年6月, 获得北京大学博士学位
• 2003年8月至2005年7月,复旦大学电子与科学技术博士后流动站博士后
• 2005年7月至目前，复旦大学信息科学与工程学院电子工程系, 讲师(2005年7月)、副教授(2006年４月)、教授 (2013年12月至今) 、博导(2014年12月至今)
• 2009年1月至2009年3月,日本九州工业大学Guest Professor
• 2010年8月至2011年9月   美国普林斯顿大学Visiting Fellow

发表论文100多篇,其中SCI/EI检索70多篇,Google Scholar中引用一千余次; 专著1部（科学出版社，北京）；合著4部(美国NOVA科学出版社,其中4章)。

专著:

   1. 顾晓东. 时空编码脉冲耦合神经网络理论及应用.科学出版社, 北京, 2017年10月. (313页，ISBN 978-7-03-054805-4)

合著:

1. Xiaodong Gu. Autonomous robot navigation using different features and hierarchical discriminant regression. Chapter 6 in "Robot Vision: Strategies, Algorithms and Motion Planning"(ISBN: 978-1-60692-091-6), Nova Science Publishers, 2009,pp.279-300.

2. Xiaodong Gu. A non-deterministic delay-neural-network-based approach to shortest path computation in Networks. Chapter 6 in"Large Scale Computations, Embedded Systems and Security"(ISBN: 978-1-60741-307-3), Nova Science Publishers, 2010, pp.103-116.

3. Xiaodong Gu.Orientation and Contour Extraction Model Using Unit-Linking pulse coupled neural networks. Chapter 9 in"Visual Cortex: New Research"(ISBN: 978-1-60456-530-0), Nova Science Publishers, 2008,pp.301-322.

4. Xiaodong Gu. Spatial-temporal-coding Pulse Coupled Neural Network and its Applications. Chapter 5 in "Neuronal Networks new Horizons"(ISBN: 1-60021-485-1), Nova Science Publishers, 2007, pp.137-179.

代表性论文:

1. Lecheng Zhou, Xiaodong Gu. Embedding topological features into convolutional neural network salient object detection. Neural Networks. Accepted. 2019

2. Mengmeng Liao, Xiaodong Gu.Subspace clustering based on alignment and graph embedding. Knowledge Based Systems. Accepted. 2019

3. Mengmeng Liao, Xiaodong Gu. Face recognition approach by subspace extended sparse representation and feature learning. Neurocomputing . Accepted. 2019

4. Lecheng Zhou, Xiaodong Gu. Deep supervised visual saliency model addressing low-level features. Journal of Ambient Intelligence and Humanized Computing. Accepted. 2019

5. Mengmeng Liao, Xiaodong Gu.  Face recognition based on dictionary learning and subspace learning. Digital Signal Processing, 2019,90:110-124.

6. Mengmeng Liao, Xiaodong Gu. Face recognition algorithm based on feature descriptor and weighted linear sparse representation.IET Image Processing.  Accepted. 2019

7. Mengmeng Liao, Xiaodong Gu .  Face recognition using feature coding and non local constraint-based sparse representation classifier.Journal of Electronic Imaging, 2018,27(5）, 18 pages. Article number:  053050.

8. Mengmeng Liao, Xiaodong Gu.  Hybrid classification approach using extreme learning machine and sparse representation classifier with adaptive threshold. IET Signal Processing ,2018,12(7):811-818.

9. Youcai zhang, Jiayao Cao, Xiaodong Gu专利、著作版权等

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