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师资队伍
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顾晓东

Professional Title：

Position：电子工程系主任（2021年１月到2025年6月）

Email：xdgu@fudan.edu.cn

Visiting Address：

Tel：

Home Page：http://ee.fudan.edu.cn/Data/View/776

Research Interests

  • 人工神经网络
  • 深度学习
  • 跨模态分析
  • 仿生建模
  • 时空编码脉冲耦合神经网络
  • 卷积神经网络
  • 图像处理
  • 模式识别


Academic Positions

  • 国际期刊Neural networks 的编委会委员（AE）等

Awards

  • 2017年,复旦大学信息学院"院长奖"
  • 2016年度上海自然科学三等奖（第一完成人,"基于脉冲耦合神经网络等智能方法的信号处理及仿生建模")
  • 2013年,第25届上海市优秀发明选拔赛银奖(第三完成人)
  • 2013年,复旦大学信息学院教学奖
  • 2008年,复旦大学信息学院"院长奖"
  • 2007年,复旦大学信息学院教学一等奖
  • 2007年,复旦大学优秀博士后
  • 2005年,北京大学优秀博士学位论文奖
  • 2005年,长三角青年创新展二等奖(参加人员)
  • 2003年,北京大学优秀毕业生
  • 2003年,第十三届中国神经网络学术会议优秀学术报告奖
  • 2002年,第十二届中国神经网络学术会议优秀学术报告奖

Education and Working Experience

  • 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

  • 2021年１月到2025年6月，复旦大学信息科学与工程学院电子工程系主任

Teaching

  • 本科课程：电路基础（复旦大学本科优质课程）、电路理论(2006年-2014年)、模拟电子学基础

  • 研究生课程：神经网络及应用、专业外语（硕士生、博士生）

Publications

    2025，2024 入选全球前2%顶尖科学家榜单（World's Top 2% Scientists）

     发表论文200多篇,其中SCI/EI检索170多篇,Google Scholar中引用三千余次,H指数为27; 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)。

https://scholar.google.com/citations?hl=zh-CN&user=-CsNYlkAAAAJ

    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.

   

    主要代表性论文(通信作者用*标出):

  1. Yucheng Guo, Xiaodong Gu*. MMRL: Multi-Modal Representation Learning for Vision-Language Models, IEEE Conference on Computer Vision and Pattern Recognition 　(CVPR), 2025, 25015-25025. （CCF-A类)

  2. Fengzhen Yu, Xiaodong Gu*. Intra-frame scan-free video state spaces model for video moment retrieval. Applied Intelligence, 2025，doi.org/10.1007/s10489-025-06517-y (SCI)

  3. Qingwei Geng, Xiaodong Gu*. Decoding audio related region with temporal and structural enhancement for audio visual segmentation.Digital Signal Processing,2025, 165, 105302.(SCI)

  4. Yanlin Zhang, Yuchen Shi, Deqing Yang, Xiaodong Gu*. Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation. Information Systems,2025,128,102470.(SCI)

  5. Qingrong Cheng, Zhenshan Tan, Keyu Wen, Cheng Chen,   Xiaodong Gu*..Semantic Pre-alignment and Ranking Learning with Unified Framework for Cross-modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology,2024, 34(7):6503-6516. DOI 10.1109/TCSVT.2022.3182549.(SCI, ESI高被引论文)

  6. Yijin Yang,Xiaodong Gu*.Attention-based Gating Network for Robust Segmentation Tracking.  IEEE Transactions on Circuits and Systems for Video Technology, 2025,35(1):245-258.  DOI 10.1109/TCSVT.2024.3460400.(SCI)

  7. Yijin Yang,Xiaodong Gu*. Learning dynamical position embedding for discriminative segmentation tracking. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8):10078- 10090.(SCI)

  8. Qi Guo, Xiaodong Gu*. An improved StyleGAN-based TextToFace model with Local-Global information Fusion. Expert Systems with Applications, 2024,50,123698.(SCI)

  9. Yucheng Guo, Xiaodong Gu*. JoAPR: Cleaning the Lens of Prompt Learning for Visual-Language Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 28695-28705 . （CCF-A类)

  10. Qi Guo, Xiaodong Gu*. Enhancing accuracy, diversity, and random input compatibility in face attribute manipulation. Engineering Applications of Artificial Intelligence, 2024,134,108683.(SCI)

  11. Hengwei Liu , Xiaodong Gu*. Masked co-attention model for audio-visual event localization, Applied Intelligence, 2024，54:1691–1705.(SCI)

  12. Yanlin Zhang, Xiaodong Gu*. Enhancing user and item representation with collaborative signals for kg-based recommendation.  Neural Computing & Applications, 2024,36:6681–6699.(SCI)

  13. Zhenshan Tan, Xiaodong Gu* ,Qingrong Cheng. Co-saliency detection with two-stage co-attention mining and individual calibration. Engineering Applications of Artificial Intelligence, 2024,127,107201.(SCI)

  14. Yijin Yang,Xiaodong Gu*. Joint Correlation and Attention Based Feature Fusion Network for Accurate Visual Tracking. IEEE Transactions on Image Processing,2023, 32，1705-1715. (SCI)

  15. Qingrong Cheng, Qi Guo, Xiaodong Gu*. Adversarial pre-optimized graph representation learning with double-order sampling for cross-modal retrieval Expert Systems with Applications, 2023,120731.

  16. Yijin Yang, Xiaodong Gu*. Learning rich feature representation and aggregation for accurate visual tracking. Applied Intelligence, 2023，53:28114–28132.(SCI)

  17. Qingrong Cheng, Keyu Wen, Xiaodong Gu*. Vision-language matching for text-to-image synthesis via generative adversarial networks. IEEE Transactions on Multimedia,2023, 25:7062-7075. DOI:10.1109/TMM.2022.3217384.(SCI)

  18. Changzhi Wang, Xiaodong Gu*.Learning double-level relationship networks for image captioning. Information Processing and Management, 2023,60(3),103288.(SCI)

  19. Changzhi Wang, Xiaodong Gu*. Learning joint relationship attention network for image captioning. Expert Systems with Applications,2023,211,118474.(SCI)

  20. Yijin Yang,Xiaodong Gu*. Accurate and robust visual tracking using bounding box refinement and online sample filtering.Signal Processing: Image Communication，2023, DOI: 10.1016/j.image.2023.11698.(SCI)

  21. Wei Zhang,  Xiaodong Gu*. Task-Aware Prototype Refinement for Improved Few-Shot Learning. Neural Computing & Applications, 2023,35 (24):17899-17913.(SCI)

  22. Wei Zhang,  Xiaodong Gu*.Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration. Entropy, 2023, 25(5): 776. DOI: 10.3390/e25050776.(SCI)

  23. ZhenshanTan, Xiaodong Gu*. Bridging feature complementarity gap between encoder and decoder for salient object detection. Digital Signal Processing, 2023,133, 103841.(SCI)

  24. Zhenshan Tan, Xiaodong Gu*. Co-saliency detection with intra-group two-stage group semantics propagation and inter-group contrastive learning. Knowledge-Based Systems.2022,188 ,109356.(SCI)

  25. Yuzhuo Qin, Xiaodong Gu*, Zhenshan Tan. Visual context learning based on textual knowledge for image–text retrieval.  Neural Networks, 2022,152: 434-449.(SCI)

  26. Changzhi Wang, Xiaodong Gu*. Dynamic-balanced double-attention fusion for image captioning. Engineering Applications of Artificial Intelligence, 2022,114,105194.(SCI)

  27. Changzhi Wang, Xiaodong Gu*. Local-global visual interaction attention for image captioning. Digital Signal Processing, 2022,130, 103707.(SCI)

  28. Yanzhao Wang, Xiaodong Gu*. High-speed scene text detection with attention and multi-scale label generation. Neural Processing  Letters, 2022,doi.org/10.1007/s11063-022-10975-7.(SCI)

  29. Cheng Chen, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Yudong Zhu, Xiaodong Gu*. UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022,18103-18112.(CCF-A类)

  30. Cheng Chen，Xiaodong Gu*. Context-aware network with foreground recalibration for grounding　natural language in video. Neural Computing and Applications,2021,33:10485-10502.(SCI)

  31. Yijin Yang,Xiaodong Gu*.Learning edges and adaptive surroundings for discriminant segmentation tracking.Digital Signal Processing,2022, 121, 103309 .(SCI)

  32. Changzhi Wang, Xiaodong Gu*. Image captioning with adaptive incremental global context attention. Applied Intelligence, 2021，DOI: 10.1007/s10489-021-02734-3.(SCI)

  33. Zhenshan Tan, Xiaodong Gu*.Depth scale balance saliency detection with connective feature pyramid and edge guidance. Applied Intelligence, 2021，51:5775–5792 .(SCI)

  34. Keyu Wen,Xiaodong Gu*,Qingrong Cheng. Learning Dual Semantic Relations with Graph Attention for Image-Text Matching.IEEE Transactions on Circuits and Systems for Video Technology,2021, 31(7): 2866-2879.(SCI)

  35.  Qingrong Cheng,Xiaodong Gu*. Bridging Multimedia Heterogeneity Gap via Graph Representation Learning for Cross-modal Retrieval. Neural Networks,2021,134:143-162.(SCI)

  36. Qingrong Cheng,Xiaodong Gu*.Cross-modal Feature Alignment based Hybrid Attentional Generative Adversarial Networks for text-to-image synthesis.Digital Signal Processing,2020, 107, DOI: 10.1016/j.dsp.2020.102866.(SCI)

  37.  Mengmeng Liao,Xiaodong Gu*.Subspace clustering based on alignment and graph embedding.Knowledge Based Systems.2020,188 ,ID105029.(SCI)

  38. Jinyu Ma,Xiaodong Gu*.Scene Image Retrieval with Siamese Spatial Attention Pooling, Neurocomputing, 2020, 412:252-261.(SCI)

  39. Ding Qin,Xiaodong Gu*.Single-image super-resolution with multilevel residual attention network,Neural Computing & Applications,2020,32(9):15615-15628.(SCI)

  40. Lecheng Zhou,Xiaodong Gu*.Embedding topological features into convolutional neural network salient object detection. Neural Networks, 2020,121: 308-318.(SCI)
  41. Mengmeng Liao,Xiaodong Gu*.Face recognition approach by subspace extended sparse representation and feature learning.Neurocomputing. 2020, 373:35-49.(SCI)
  42. Mengmeng Liao,Changzhi Wang, Xiaodong Gu*. Algorithm using supervised subspace learning and nonlocal representation for pose variation recognition. IET Computer Vision 2020: 14 (7), 528-537. (SCI)
  43. Qingrong Cheng, Xiaodong Gu*.Deep Attentional Fine-grained Similarity Network with Adversarial Learning for Cross-modal Retrieval. Multimedia Tools and Applications,2020, 79 (41): 31401-31428.(SCI)
  44. Lecheng Zhou,Xiaodong Gu*.Deep supervised visual saliency model addressing low-level features.Journal of Ambient Intelligence and Humanized Computing. 2019,   https://doi.org/10.1007/s12652-019-01441-9.(SCI)
  45.  Mengmeng Liao,Xiaodong Gu*.  Face recognition based on dictionary learning and subspace learning.Digital Signal Processing,2019,90:110-124.(SCI)
  46. Mengmeng Liao,Xiaodong Gu*.Face recognition algorithm based on feature descriptor and weighted linear sparse representation.IET Image Processing.  13 (12), 2281-2293.(SCI)
  47. 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. (SCI)
  48. 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.(SCI)
  49. Youcai zhang, Jiayao Cao,Xiaodong Gu*.Learning Cross-modal Aligned Representation with Graph Embedding.IEEE Access ,2018, 6, 77321-77333.(SCI)
  50. Xiaodong Gu*,Yiwei Gu, Haibing Wu. Cascaded convolutional neural networks for aspect-based opinion summary.Neural Processing Letters,2017,46(2):581-594.(SCI)
  51. Haibing Wu,Xiaodong Gu*,Yiwei Gu. Balancing between over-weighting and under-weighting in supervised term weighting.Information Processing and Management,  2017,53(2):547-557.(SCI)
  52. Haibing Wu,Xiaodong Gu*. Towards dropout training for convolutional neural networks.Neural Networks, 2015, 71:1-10.(SCI)
  53. Zhaohui Meng,Xiaodong Gu*.Hand vein identification using local Gabor ordinal measure.Journal of Electronic Imaging.2014,23(5), 053004.(SCI)
  54. Xiaodong Gu*,Yu Fang, Yuanyuan Wang. Attention selection using global topological properties based on pulse coupled neural network.Computer Vision and Image Understanding, 2013, 117 :1400-1411.(SCI)
  55. Zhaohui Meng,Xiaodong Gu*. Palm-Dorsal vein recognition method based on histogram of local Gabor phase XOR pattern with second identification.Journal of  Signal  Processing Systems,  2013, 73:101-107.(SCI)
  56. Zhaohui Meng,Xiaodong Gu*. Hand vein recognition using local block pattern.Electronics letters,2013，49(25)1614-1615.(SCI)
  57. Yu Ma,Xiaodong Gu,Yuanyuan Wang*.Histogram similarity measure using variable bin size distance.Computer Vision and Image Understanding, 2010, 114 :981-989.(SCI)
  58.  Yu Ma,Xiaodong Gu, Yuanyuan Wang*. Color discrimination enhancement for dichromats using self-organizing color transformation.Information Sciences, 2009,179: 830-843.(SCI)
  59. Chengcai Ma,Xiaodong Gu*,Yuanyuan Wang. Fault diagnosis of power electronic system based on fault gradation and neural network group.Neurocomputing,2009,72: 2909-2914.(SCI)
  60. Yu Ma,Xiaodong Gu, Yuanyuan Wang*. Feature fusion method for edge detection of color images.Journal of Systems Engineering and Electronics, 2009, 20(2), 394-399.(SCI)
  61. Xiaodong Gu*. Feature extraction using Unit-linking pulse coupled neural network and its applications.Neural processing letters,2008, 27:25-41.(SCI)
  62. Xiaodong Gu*, Yuanyuan Wang, Liming Zhang. Object detection using Unit-Linking PCNN image icons.Lecture Notes In Computer Science ,2006,3972:616-622.(SCI)
  63. Yu Ma,Xiaodong Gu,YuanYuanWang*. A new color blindness cure model based on BP neural network.Lecture Notes In Computer Science,2006, 3973:740-745.(SCI)
  64. Xiaodong Gu*, Daoheng Yu, Liming Zhang. Image shadow removal using pulse coupled neural network. IEEETrans. on Neural Networks,2005, 16(3): 692-698.(SCI)
  65. Xiaodong Gu*, Liming Zhang. Global icons and local icons of images based Unit-linking PCNN and their application to robot navigation.Lecture Notes In Computer Science,2005,3497:836-841.(SCI)
  66. Xiaodong Gu*,Liming Zhang, Daoheng Yu, General design approach to Unit-linking PCNN for image processing. InProc.IJCNN-International Joint Conference on Neural Networks,Montreal, Canada, 2005,pp.1836-1842.
  67. Xiaodong Gu*, Liming Zhang,Daoheng Yu. Simplified PCNN and its periodic solutions.Lecture Notes In Computer Science, 2004,3173: 26-31. (SCI)
  68. Xiaodong Gu*,Liming Zhang, Daoheng Yu. Delay PCNN and its application for optimization.Lecture Notes In Computer Science ,2004,3173: 413-418.(SCI)
  69. Xiaodong Gu*,Daoheng Yu, Liming Zhang. Image thinning using pulse coupled neural network.Pattern Recognition Letters,2004,25(9):1075-1084.  (SCI)                                                                                                                                                                                          其他主要论文 : 
  70.  Ziyang Yu, Xiaodong Gu*.Hybrid Visual Adapter and Drop-View Training for Change Captioning. International Joint Conference on Neural Networks (IJCNN), 2025,1-10.(EI)
  71.  Qi Guo, Xiaodong Gu*. High-Precision Face Generation and Manipulation Guided by Text, Sketch, and Mask. International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2025: 33-38. (EI)
  72. Yue Huang, Xiaodong Gu*. Cross-Frame Semantic Alignment Network: Towards Zero-Shot Video Action Recognition. International Conference on Frontiers of Signal Processing,2025.  (EI)
  73. Yue Huang, Xiaodong Gu*. Removing Bias of Video Question Answering by Causal Theory. 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA) 2024.(EI)
  74.  Qingwei Geng, Xiaodong Gu*. Integrating Audio-Visual Contexts with Refinement for Segmentation. International Conference on Artificial Neural Networks (ICANN), LNCS , 2024,15018, 31-44.  (EI)
  75.  Fengzhen Yu, Xiaodong Gu*. Boundary-Aware Noise-Resistant Video Moment Retrieval. International Conference on Artificial Neural Networks (ICANN), LNCS , 2024,15018,193-206.(EI)
  76.  Qi Guo, Xiaodong Gu*. A StyleCLIP-based Facial Emotion Manipulation Method for Discrepant Emotion Transitions,2024 17th Asian Conference on Computer Vision (ACCV),LNCS 15475,2024.(EI)
  77.  Qi Guo, Xiaodong Gu*.Towards photorealistic face generation using text-guided Semantic-Spatial FaceGAN. Multimedia Tools and Applications ,2024, DOI.10.1007/s11042-024-19320-7     (EI)
  78.  Zhenshan Tan, Cheng Chen, Xiaodong Gu*. Triplet spatiotemporal aggregation network for video saliency detection. IEEE International Conference on Multimedia and Expo (ICME), 2023 ,2393-2398.(EI)
  79.   Yue Huang, Xiaodong Gu*. Temporal Modeling Approach for Video Action Recognition Based on Vision-languageModels. ICONIP 2023,Lecture Notes In Computer Science-LNCS, 14449, pp. 1–12, 2024.   (EI)
  80.  Yijin Yang, Xiaodong Gu*. Multi Feature Representation and Aggregation Network for Accurate and Robust Visual Tracking. International Joint Conference on Neural Networks (IJCNN), 2023.1-8.(EI)
  81. Qi Guo, Xiaodong Gu*. Generating distinctive facial images from natural language descriptions via spatial map fusion. International Conference on Artificial Neural Networks (ICANN), 2023,78-89.(EI)
  82. Yuzhuo Qin, Hengwei Liu,  Xiaodong Gu*. A cross-modal view to utilize label semantics for enhancing student network in multi-label classification. International Conference on Artificial Neural Networks (ICANN), 2023,14-25.(EI)
  83. Zhenshan Tan,  Xiaodong Gu*. A unified video semantics extraction and noise object suppression network for video saliency detection. International Conference on Artificial Neural Networks (ICANN), 2023,337-348.(EI)
  84. Zhenshan Tan, Cheng Chen, Keyu Wen, Yuzhuo Qin  Xiaodong Gu*.A unified two-stage group semantics propagation and contrastive learning network for co-saliency detection 2022 IEEE International Conference on Multimedia and Expo (ICME)(EI)
  85. Changzhi Wang, Xiaodong Gu*. Building joint relationship attention network for image-text generation. 29 th International  Conference on  Computational Linguistics （COLING）,2022,11pages(EI)
  86. Zhenshan Tan, Xiaodong Gu*. A unified multiple inducible co-attentions and edge guidance network for co-saliency detection. Lecture Notes In Computer Science ,2022, 13529:13-24.(EI)
  87. Zhenshan Tan, Xiaodong Gu*. Feature recalibration network for salient object detection. Lecture Notes In Computer Science ,2022, 13532:64-75.(EI)
  88. 王延昭，顾晓东*.注意力机制在自然场景文字检测中的应用.计算机辅助设计与图形学学报, 2021,33(12):1908-1915.(EI)
  89. Cheng Chen, Xiaodong Gu*. UED: A Unified Encoder DecoderNetwork for Visual Dialog . Communications in Computer and Information Science,2021, 1517:101-109.(EI)
  90. Hengwei Liu, Jinyu Ma, Xiaodong Gu*. Towards Image Retrieval with Noisy Labels via Non-deterministic Features.  Lecture Notes In Computer Science ,2021, 12893: 446-456. 
  91. Keyu Wen, Linyang Li, Xiaodong Gu*. Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching.  Lecture Notes In Computer Science ,2021, 12891: 403-414.(EI)
  92. Yanlin Zhang, Ding Qin, Xiaodong Gu*.Subspace Constraint for Single Image Super-Resolution.  Lecture Notes In Computer Science ,2021, 12893:395-407.(EI)
  93. Changzhi Wang, Xiaodong Gu*. An Image Captioning Approach Using Dynamical Attention, In Proc. International Joint Conference on Neural Network (IJCNN)，2021: 8 pages.(EI)
  94. Cheng Chen, Xiaodong Gu*. Semantic modulation based residual network      for temporal language queries grounding in video.Lecture Notes In Computer Science , 2020,12557:119-129. (EI)
  95. Zhenshan Tan, Xiaodong Gu*. SBN: Scale Balance Network for Accurate      Salient Object Detection, In Proc. International Joint      Conference on Neural Network (IJCNN)，2020:     7pages. (EI)
  96. Ding Qin,  Xiaodong Gu*. Single Image Super-Resolution with      Hierarchical Receptive Field. In Proc. International Joint      Conference on Neural Network (IJCNN)，2020:      8 pages.(EI)
  97. Keyu wen ,Xiaodong Gu*. Dual Semantic Relationship Attention      Network for Image-Text Matching. In Proc. International Joint Conference on Neural Network      (IJCNN)，2020: 7pages.(EI)
  98. Zhenshan Tan, Yikai Hua, Xiaodong Gu*. Salient      Object Detection with Edge Recalibration. . Lecture Notes In      Computer Science ,2020, 12396:724-735.(EI)
  99. Lecheng Zhou, Xiaodong Gu*. Enriched Feature Representation and      Combination for Deep Saliency Detection. Lecture Notes In  Computer Science ,2020, 12396:699-710. (EI)
  100. Jinyu Ma, Xiaodong Gu*. End-to-end Saliency-Guided Deep Image      Retrieval.   Communications in Computer and  Information Science ,2020, 1332:402-409.(EI)
  101. Qingrong Cheng,Xiaodong Gu*. Adversarial learning for cross-modal      retrieval with Wasserstein distance. Lecture Notes In Computer   Science ,2019, 11953,16–29.   (EI)
  102.  Yikai Hua,  Xiaodong Gu*. Group Loss: an efficient strategy for      salient object detection. Communications in Computer      and Information Science , 2019, 1142, 104–111.(EI)
  103.  Ding Qin, Xiaodong Gu*. Deep Residual-Dense Attention Network for      Image Super-Resolution. Communications in Computer  and Information Science ,  2019, 1143, 3–10. (EI) 
  104.   Qingrong Cheng, Xiaodong Gu*. Hybrid attention Driven Text-to-Image      synthesis via generative adversarial networks. Lecture Notes In Computer Science ,2019, 11731,    483–495.(EI)
  105.   Yikai Hua Xiaodong Gu*. FCN salient object detection using region      cropping. Lecture Notes In Computer Science ,2019, 11729,  360–370.(EI)
  106.  Qiu Zhe , Xiaodong Gu*. Graph      Convolution and Self Attention Based Non-maximum Suppression. Lecture   Notes In Computer Science ,2019, 11554, 77–86.(EI)
  107.  Youcai zhang, Yiwei Gu, Xiaodong Gu*. Two-Stream Convolutional Neural Network for Multimodal      Matching. Lecture Notes In Computer Science, 2018,   11139:14-21.(EI)
  108.  Youcai zhang, Xiaodong Gu*. Cross-modal      Metric Learning with Graph Embedding.   In Proc.      International Joint Conference on Neural Network (IJCNN),  Rio de      Janeiro, Brazil，2018:      7pages.  Article number: 8489310. (EI)
  109.  Qiu Zhe , Xiaodong Gu*. Multi      ROI and Multi Map Networks for Accurate and Efficient Pedestrian      Detection. In Proc. International Joint Conference on      Neural Network (IJCNN),  Rio de Janeiro, Brazil，2018:      5 pages .Article number: 8489110. (EI)
  110.   Mengmeng Liao, Xiaodong Gu*. Face      Recognition Using Improved Extended Sparse Representation Classifier and      Feature Descriptor.Lecture Notes in Artificial Intelligence ,10956, 306–318.(EI)
  111.  Lecheng Zhou, Xiaodong Gu*. Deep      Neural Network based Salient Object Detection with Image      Enhancement.  Lecture Notes In Computer Science. 2018,11304,10 pages. 
  112.  Qingrong Cheng, Zhiping Duan, Xiaodong      Gu*. Data-driven and Collision-free Hybrid Crowd Simulation      Model for Real Scenario. Lecture Notes In Computer Science. 2018,11307, 12 pages.(EI)
  113.  Ting Yu, Xiaodong Gu*. Facial      expression recognition using double-stage sample-selected SVM. Lecture      Notes In Computer Science ,2017,10361:304-315.(EI)
  114.  Yiwei Gu, Xiaodong Gu* .      A supervised term weighting scheme for multi-class text      categorization. Lecture Notes in Artificial Intelligence .2017,10363:436-447.(EI)
  115.  Shangdi Sun, Xiaodong      Gu* . Convolution Window in Convolutional Neural Network for      Sentiment Classification. Lecture Notes In Computer Science ,2017,10614:40-48.(EI)
  116.  Yiwei Gu, Xiaodong Gu*.      The All-Convolutional Neural Network with Recurrent Architecture for      Object Recognition.2017,10614:733-734.(EI)
  117. Lecheng Zhou, Xiaodong Gu*.  FCN      and Unit-Linking PCNN Based Image Saliency Detection. Lecture      Notes In Computer Science ,2017, 10636:357-366.
  118. Ting Yu, , Xiaodong Gu*. An      Approach to Pulse Coupled Neural Network Based Vein Recognition. Lecture Notes In Computer Science ,2017, 10639:415-422.(EI)
  119. Youcai zhang, Xiaodong Gu*.  Graph Embedding      Learning for Cross-Modal Information Retrieval. Lecture Notes In      Computer Science ,2017, 10636: 594-601.
  120. Yikai  Hua, Xiaodong Gu*.  Visual Saliency Using      Unit-linking PCNN Image Segmentation. In Proc. International      Conference on Natural Computation, Guilin, China, 2017,879-883.(EI)
  121. Shangdi sun Xiaodong Gu*. Support Vector Machine Equipped With Deep      Convolutional Features for Product Reviews Classification.In Proc. International      Conference on Natural Computation, Guilin,  China, 2017,130-135.(EI)
  122. Jiancheng      Wang, Xiaodong Gu*.  Moving Object Attention      Selection Using Optical Flow And Pulse Coupled Neural Network. In Proc. International      Conference on Natural Computation, Guilin, China, 2017,2705-2709.(EI)
  123. Mengmeng      Liao, Xiaodong Gu*.  A new Supervised Image      Classification Using Data set Partition . In Proc. International      Conference on Natural Computation, Guilin, China, 2017,1586-1591.(EI)
  124. 王健丞，顾晓东*.基于背景抑制和PCNN的运动目标检测.微电子学与计算机，2017,34(3):50-55,60.

  125. 孙尚迪，顾晓东*. 基于线性核极限学习机的情感分类.微型电脑应用, 2017,33(3):1-4,8.

  126.  Shangdi Sun, Xiaodong Gu*.    Sentiment Analysis Using Extreme Learning Machine with Linear      Kernel. Lecture Notes In Computer Science, 2016,9887:547-548.(EI)

  127. Haibing Wu, Yiwei Gu，Shangdi      Sun, Xiaodong Gu*. Aspect-based opinion summarization      with convolutional neural networks. In Proc. International Joint      Conference on Neural Network (IJCNN),Vancouver , Canada, 2016. （EI）

  128. Hang liu, Xiaodong Gu*.Tracking      based on unit-linking pulse coupled neural network image icon and particle      filter. Lecture Notes In Computer Science, 2016,9719:631-639. ( EI)

  129.  Haibing Wu, Xiaodong Gu*.     Max-pooling dropout for regularization of convolutional neural      networks. Lecture Notes In Computer Science, 2015,9489:46-54.(EI)

  130. Qiling Ni, Jiancheng Wang, Xiaodong   Gu*. Moving Target Tracking Based on Pulse Coupled Neural Network      and Optical Flow Lecture Notes In Computer Science,      2015,9491:17-25.( EI)

  131. Wang Zhang, Haoyuan Lu, Shangdi      Sun, Xiaodong Gu*. A graph community and bag of      categorized visual words based image retrieval. Lecture Notes In      Computer Science, 2015,9492,473-480.( EI)

  132. Wang Zhang, Haoyuan Lu, Shangdi      Sun, Xiaodong Gu*. A graph community and bag of      categorized visual words based image retrieval. Lecture Notes In      Computer Science, 2015,9492,473-480.( EI)

  133. 张旺，顾晓东*,陆灏源.基于按类视觉词袋模型与标签投票的图像检索. 微型电脑应用, 2015,31(3):4-7,11.

  134. Cheng Yang, Xiaodong Gu* .Image  retrieval using a novel color similarity measurement and neural      networks. Lecture Notes In Computer Science, 2014,8836:25-32.(EI)

  135. Haibing Wu, Xiaodong Gu*.     Reducing over-weighting in supervised term weighting for sentiment      analysis. In Proc. the 25th International  Conference on      Computational Linguistics （COLING）,      Dublin, Ireland, 2014, 1322-1330. （EI)

  136.  Zhipin Duan, Xiaodong Gu*.    Animal group behavioral model with evasion mechanism . In Proc.      International Joint Conference on Neural Network (IJCNN),Beijing,      China, 2014，pp.      1167-1172. （EI）

  137.  Qiling Ni, Xiaodong Gu*.   Video attention saliency mapping using pulse coupled neural network and     optical flow. In Proc. International Joint Conference on Neural      Network (IJCNN),Beijing, China, 2014，pp.  340-344. （EI）

  138.  顾晓东*,杨诚，.新的颜色相似度衡量方法在图像检索中的应用.仪器仪表学报，2014,35(10): 2286-2292. (EI) 

  139.   张津剑，顾晓东*.自适应注意力选择与脉冲耦合神经网络相融合的沙漠车辆识别.     2014,26(1):56-64. （EI）

  140.  Jinjian Zhang, Xiaodong Gu*.Desert      vehicle detection based on adaptive visual attention and neural network. Lecture      Notes In Computer Science, 2013, 8227:376-383. （EI）

  141. 郑皓天，顾晓东*.基于带宽剩余率的脉冲耦合神经网络最短路径算法. 系统工程与电子技术,2013,35(4):859-863. （EI） 

  142.  郑天宇，顾晓东*.四元数和脉冲耦合神经网络应用于足球检测.应用科学学报,      2013，31(2):183-189.

  143.  孟昭慧，顾晓东*.基于区域分割和二次判别的手静脉识别.数据采集与处理,      2013, 28(5): 516-520.

  144.  魏上清，顾晓东*.基UDCT和三角形测量特征融合的手背静脉识别. 微型电脑应用, 2013,29(1):4-7.

  145.  Zhuo Zhang, Xiaodong Gu*, Sunyuan      Kung. Color-frequency-orientation histogram based image retrieval, ICASSP      2012-IEEE International Conference on Acoustic, Speech, and Signal      Processing , Kyoto, Japan, 2012, pp1321-1324. (EI)

  146. Ya Zhao, Xiaodong Gu*.Vehicle      License plate localization and license number recognition using      unit-linking pulse coupled neural network, Lecture Notes In      Computer Science, 2012, 7667 :100-108. (EI) 

  147.  Lixue Chen, Xiaodong Gu*.Pcnn-based      Image segmentation with contoured product mutual information      criterion, ICIST-IEEE International Conference on Information      Science and Technology, Wuhan,China, 2012, pp.9-14. (EI)

  148.  Cheng Yang, Xiaodong Gu*.      Combining PCNN with color distribution entropy and vector gradient in      feature extraction. In Proc. International Conference      on Natural Computation, Chongqing, China, 2012,pp.214-218. (EI)

  149.  Tianyu Zheng, Xiaodong Gu*.      Soccer detection based on attention selection and neural network. In Proc.      International Conference on Computer and Management (CAMAN 2012),      Wuhan, China, 2012, pp.20-23.

  150.  郑天宇,顾晓东*.基于四元数显著图和PCNN空洞滤波的足球检测.微型电脑应用，2012,28(4):      1-5.

  151.  魏上清，顾晓东*. 基于均衡离散曲率波变换的手背静脉识别.计算机应用,2012,32(4):      1122-1125.

  152.  Shangqing Wei, Xiaodong Gu*.     A method for hand vein recognition based on curvelet transform phase      feature, International Conference on Transportation, Mechanical,      and Electrical Engineering, Changchun,China,pp.2540-2543,2011. (EI)

  153.   Yu Fang, Xiaodong Gu*,      Yuanyuan Wang. Attention selection using weight adjusted topological      properties and quantification evaluating criterion. In Proc.      International Joint Conference on Neural Network, San Jose,      California, 2011，pp328-335. (EI)

  154.  Yu Fang, Xiaodong Gu*,      Yuanyuan Wang. Pulse coupled neural network based topological properties      applied in attention saliency detection. In Proc. International      Conference on Natural Computation, Yantai, China, 2010,pp. 1965-1969. (EI) 

  155.  田杰华,顾晓东*,汪源源.利用人眼视觉特性的低比特率小波图像压缩.仪器仪表学报，2010,31(11):    2515-2520. (EI)

  156.  郑英杰，顾晓东*. 基于局部Gabor相位特征的手背静脉识别方法.微型电脑应用，2010,26(6),23-26.

  157.   Yuying Zhang, Xiaodong Gu*,      Yuanyuan Wang. A model-oriented road detection approach using Fuzzy SVM. Journal      of Electronics 2010,27(6):795-800.

  158.   郑英杰，顾晓东*. 基于Gabor相位编码的手背静脉识别方法.数据采集与处理,      2010, 25(4): 516-520.

  159.  付伟,顾晓东*, 汪源源. 基于人眼视觉特性的彩色图像质量评价.微电子学与计算机,      2010, 27(2): 59-63,67.

  160.   付伟,顾晓东*.基于人眼视觉特性的EZW图像编码改进算法.微电子学与计算机,2010,      27(3): 47-50.

  161.  Yingjie Zheng, Xiaodong Gu*.      Local Gabor phase feature for Palm-dorsal vein recognition. In Proc. International      Conference on Image Analysis and Signal Processing, 2010，pp338-342.

  162.  张玉颖, 顾晓东*,汪源源.基于梯形模型和支撑向量机的非结构化道路检测.计算机工程与应用,      2010, 46 (15): 138-141.

  163.  Yu Ma, Xiaodong Gu,      YuanYuan Wang*. A neural oscillation model for contour separation in color      images. Lecture Notes In Computer Science, 2009, 5507:768-775. (EI)

  164.   Linlu Wang, Xiaodong Gu*,Yuanyuan      Wang, Liming Zhang. Happy-sad expression recognition using emotion      geometry feature and support vector machine. Lecture Notes in      Computer Science, 2009, 5507:535-542. (EI)

  165.  马成才,顾晓东*. 基于神经网络组和故障分等级的故障检测.系统工程与电子技术,2009,31(1):225-228. (EI)

  166.  马煜, 顾晓东, 汪源源*.视觉机制模拟中的局部参数自组织映射方法.应用科学学报,2009,      26(3): 247-252.

  167.   Linlu Wang, Xiaodong Gu*,      Yuanyuan Wang, Liming Zhang. Two-expression-recognition model for patients   using novel emotion feature. Australian journal of intelligent   information processing systems, 2008, 10(2): 9-18.

  168.  Xiaodong Gu*. Classification      using multi-valued pulse coupled neural network. Lecture Notes In  Computer Science, 2008, 4985:549-558. (EI)

  169.  Wei Fu, Xiaodong  Gu*, Yuanyuan Wang. Image quality     assessment using edge and contrast similarity. In Proc. IJCNN,      in IEEE World Congress on Computational Intelligence, Hongkong,      China, 2008, pp.852-855. (EI)

  170.   Jibin Bao, YuanYuan Wang*,Yu Ma, Xiaodong   Gu.Re-coloring images for dichromats based on an improved adaptive      mapping algorithm. In Proc. International      Conference on Audio, Language and Image Processing, Shanghai,      China, 2008, pp.152-156. (EI)

  171.   马煜, 顾晓东, 汪源源*.基于边缘特征聚类的物体轮廓分离方法. 仪器仪表学报，2008,      29（增刊2）:655-658.（仪器仪表学会青年学术会议上优秀论文）(EI)

  172.  鲍吉斌,汪源源*,马煜,顾晓东.基于H分量旋转的色盲矫正方法.生物医学工程学进展，2008,29(3):      125-130. 

  173.    马煜, 顾晓东, 汪源源*. 基于平均窗口平移的直方图相似性度量.应用科学学报,2008,      26(1): 28-33.

  174.  Yu Ma Xiaodong Gu, Yuanyuan Wang*. Contour detection based on      self-organizing feature clustering. In Proc. International     Conference on Natural Computation, Haikou, China, 2007, vol.2,     pp.221-226. (EI)

  175.  Chengcai Ma, Xiaodong Gu*, Yuanyuan      Wang. Fault diagnosis for power electronic system with fault gradation      using assembly neural network group. In Proc.  International      Conference on Natural Computation, Haikou, China, 2007，vol.3,      pp.277-281. (EI)

  176.   Wei Fu, Xiaodong  Gu*, Yuanyuan Wang. Anti-aircraft      missile deployment optimization using Hopfield Neural Network, In Proc.      International Joint Conference on Neural Network, Orlando,      Florida, USA, 2007,pp.333-337. (EI)

  177. Yinhui Deng, Yuanyuan Wang*, Yu Ma,  Jibin Bao, Xiaodong Gu. A fixed transformation of color      images for dichromats based on similarity matrices.Lecture Notes in   Computer Science, 2007, 4681:1018–1028. (EI) 

  178.   鲍吉斌,汪源源*,马煜,顾晓东. 基于自适应映射的彩色图像变换.2007,      28（增刊）:115-118.（仪器仪表学会青年学术会议上优秀论文）(EI)

  179.  Yu Ma, Xiaodong Gu,   YuanYuan Wang*. Contour integration based on the characteristics of edge      elements. In Proc. International Conference of Brain-Inspired     Information Technology, 2007, pp.97–101.

  180.  关鹏, 顾晓东*, 张立明*.一种基于图像处理的铁轨自动检测方法. 计算机工程，2007, 12(19): 207-209,212.

  181.  顾晓东*, 余道衡, 张立明.用无需选取参数的Unit-linking      PCNN进行自动图像分割,电路与系统学报.2007,12(6):54-59.

  182.  Xiaodong Gu*. A      New Approach to Image Authentication using local image icon of      Unit-linking PCNN. In Proc. IJCNN, in IEEE World      Congress on Computational Intelligence ,Vancouver, Canada, 2006,      pp.1036-1041. (EI)

  183. Xiaodong Gu*. Integrate    Different neural models using double channels of Pulse Coupled Neural      Network. In Achieving Functional Integration of Diverse Neural      Models, Workshop in IJCNN, Montreal,      Canada,2005, pp.9-10

  184.  Xiaodong Gu*,   Liming Zhang , Orientation detection and attention selection based      Unit-linking PCNN. In Proc. IEEE International Conference on      Neural Networks & Brain ,Beijing, China,2005, pp.1328-1333. (EI)

  185.  Xiaodong Gu*,     Liming Zhang  . Morphology open operation in Unit-linking pulse coupled      neural network for image processing. In Proc. IEEE International      Conference on Signal Processing, Beijing, China,2004, pp.      1597-1600. (EI)

  186.  顾晓东*, 张立明.      PCNN与数学形态学在图像处理中的等价关系. 计算机辅助设计与图形学学报,2004,16(8):1029-1032. (EI)

  187.  顾晓东*, 余道衡, 张立明,时延PCNN及其用于最短路径求解.电子学报, 2004,32(9):1441-1443. (EI)

  188.  顾晓东*, 余道衡,张立明.一定条件下PCNN动态行为的分析,计算机工程与应用, 2004,40(19):6-8,103.

  189.  顾晓东*, 程承旗, 余道衡.结合脉冲耦合神经网络与模糊算法进行四值图像去噪. 电子与信息学报, 2003,      25(12):1585-1590. (EI)

  190.  顾晓东*,余道衡, 张立明.基于PCNN的数学形态学颗粒分析. 第十三届全国神经计算学术会议, pp.83-87,2003. (特邀报告, 获优秀学术报告奖)

  191.  顾晓东*,郭仕德,余道衡, 一种用PCNN进行图像边缘检测的新方法. 计算机工程与应用, 2003,39(16):1-2,55.

  192.  顾晓东*, 余道衡,郭仕德.关于PCNN应用于图像处理的研究.电讯技术,   2003,43(3): 21-24.

  193.  顾晓东*,郭仕德,余道衡. 基于PCNN的二值文字空洞滤波. 计算机应用研究,    2003,20(12),65-66.

  194. 顾晓东*,程承旗,余道衡.基于粗集与PCNN的图像预处理. 北京大学学报. 2003,   39(5): 106-111. 

  195.  顾晓东*, 郭仕德, 余道衡.一种基于PCNN的图像去噪新方法. 电子与信息学报,  2002, 24(10): 1304-1309. (EI)

  196.  顾晓东*, 余道衡, 赵鹤鸣.利用CASSANDRA-I神经计算机实现有限词汇连续语音识别. 电子与信息学报, 2002,      24(7): 987-991.

  197.  顾晓东*, 郭仕德, 余道衡. 基于粗集与PCNN的图像增强方法. 第十二届全国神经计算学术会议, pp.      583-588,2002. (特邀报告, 获优秀学术报告奖)

  198.  俞一彪,顾晓东*,赵鹤鸣*.基于关键词的句法分析及在连续语音识别中的应用.信号处理,1999,15      (增刊):      212-215.

  199.   Xiaodong Gu*,      Shide Guo, Daoheng Yu. A new approach for automated image segmentation      based on Unit-linking PCNN. In Proc. IEEE International Conference      on Machine learning and Cybernetics, Beijing, China,2002,      pp.175-178. (EI)

  200.   Haiming Wang,Jianye Zhao, Xiaodong   Gu, Daoheng Yu. A Research on CNN based DSSS. In Proc.      International Conference on Neural Information Processing, Shanghai,      China,2001, pp.835-840. (EI)

  201.  Xiaodong Gu*, Haiming      Wang, Daoheng Yu. Binary image restoration using pulse coupled neural network.      In Proc. International Conference on Neural Information      Processing, Shanghai, China, 2001,pp.922-927. (EI)

  202.  顾晓东*, 余道衡. PCNN的原理及其应用. 电路与系统学报, 2001,6(3):45-50.


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