• 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
   

• 国际期刊Neural networks 的编委会委员（AE）等

• 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

• 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

• 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）

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.)

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 retrievalExpert 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.)

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 Vision2020:14 (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.Yue Huang,Xiaodong Gu*.Cross-Frame Semantic Alignment Network: Towards Zero-Shot Video Action Recognition.International Conference on Frontiers of Signal Processing,2025.(EI)
72. 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)
73. 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)
74. Fengzhen Yu,Xiaodong Gu*. Boundary-Aware Noise-Resistant Video Moment Retrieval.International Conference on Artificial Neural Networks (ICANN),LNCS , 2024,15018,193-206.(EI)
75. 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)
76. 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)
77. 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)
78. 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)
79. 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)
80. 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)
81. 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)
82. 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)
83. Zhenshan Tan, Cheng Chen, Keyu Wen, Yuzhuo QinXiaodong Gu*.A unified two-stage group semantics propagation and contrastive learning network for co-saliency detection2022 IEEE International Conference on Multimedia and Expo (ICME)(EI)
84. Changzhi Wang,Xiaodong Gu*.Building joint relationship attention network for image-text generation.29 th International Conference on Computational Linguistics（COLING）,2022,11pages(EI)
85. 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)
86. Zhenshan Tan,Xiaodong Gu*.Feature recalibration network for salient object detection.Lecture Notes In Computer Science ,2022, 13532:64-75.(EI)
87. 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)
88. Cheng Chen,Xiaodong Gu*.UED: A Unified Encoder DecoderNetwork for Visual Dialog .Communications in Computer and Information Science,2021, 1517:101-109.(EI)
89. 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.
90. 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)
91. Yanlin Zhang, Ding Qin,Xiaodong Gu*.Subspace Constraint for Single Image Super-Resolution.Lecture Notes In Computer Science ,2021, 12893:395-407.(EI)
92. Changzhi Wang,Xiaodong Gu*.An Image Captioning Approach Using Dynamical Attention, InProc. International Joint Conference on Neural Network (IJCNN)，2021: 8 pages.(EI)
93. 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)
94. Zhenshan Tan,Xiaodong Gu*.SBN: Scale Balance Network for Accurate Salient Object Detection, InProc. International Joint Conference on Neural Network (IJCNN)，2020: 7pages.(EI)
95. Ding Qin, Xiaodong Gu*.Single Image Super-Resolution with Hierarchical Receptive Field. InProc. International Joint Conference on Neural Network (IJCNN)，2020: 8 pages.(EI)
96. Keyu wen ,Xiaodong Gu*.Dual Semantic Relationship Attention Network for Image-Text Matching.InProc. International Joint Conference on Neural Network (IJCNN)，2020: 7pages.(EI)
97. Zhenshan Tan, Yikai Hua,Xiaodong Gu*.Salient Object Detection with Edge Recalibration. .Lecture Notes In Computer Science ,2020, 12396:724-735.(EI)
98. Lecheng Zhou,Xiaodong Gu*.Enriched Feature Representation and Combination for Deep Saliency Detection.Lecture Notes In Computer Science ,2020, 12396:699-710.(EI)
99. Jinyu Ma,Xiaodong Gu*.End-to-end Saliency-Guided Deep Image Retrieval. Communications in Computer and Information Science,2020, 1332:402-409.(EI)
100. Qingrong Cheng,Xiaodong Gu*.Adversarial learning for cross-modal retrieval with Wasserstein distance.Lecture Notes In Computer Science ,2019, 11953,16–29. (EI)
101. Yikai Hua, Xiaodong Gu*.Group Loss: an efficient strategy for salient object detection.Communications in Computer and Information Science ,2019, 1142, 104–111.(EI)
102. Ding Qin,Xiaodong Gu*.Deep Residual-Dense Attention Network for Image Super-Resolution.Communications in Computer and Information Science ,2019, 1143, 3–10.(EI)
103. 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)
104. Yikai HuaXiaodong Gu*.FCN salient object detection using region cropping.Lecture Notes In Computer Science,2019,11729, 360–370.(EI)
105. Qiu Zhe ,Xiaodong Gu*.Graph Convolution and Self Attention Based Non-maximum Suppression.Lecture Notes In Computer Science ,2019, 11554, 77–86.(EI)
106. Youcai zhang, Yiwei Gu,Xiaodong Gu*.Two-Stream Convolutional Neural Network for Multimodal Matching.Lecture Notes In Computer Science,2018, 11139:14-21.(EI)
107. Youcai zhang,Xiaodong Gu*.Cross-modal Metric Learning with Graph Embedding. InProc. International Joint Conference on Neural Network (IJCNN), Rio de Janeiro, Brazil，2018: 7pages. Article number: 8489310.(EI)
108. Qiu Zhe ,Xiaodong Gu*.Multi ROI and Multi Map Networks for Accurate and Efficient Pedestrian Detection.InProc. International Joint Conference on Neural Network (IJCNN), Rio de Janeiro, Brazil，2018: 5 pages .Article number: 8489110.(EI)
109. Mengmeng Liao,Xiaodong Gu*.Face Recognition Using Improved Extended Sparse Representation Classifier and Feature Descriptor.Lecture Notes in Artificial Intelligence ,10956, 306–318.(EI)
110. Lecheng Zhou,Xiaodong Gu*.Deep Neural Network based Salient Object Detection with Image Enhancement.Lecture Notes In Computer Science.2018,11304,10 pages.
111. 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)
112. Ting Yu,Xiaodong Gu*.Facial expression recognition using double-stage sample-selected SVM.Lecture Notes In Computer Science ,2017,10361:304-315.(EI)
113. Yiwei Gu,Xiaodong Gu*. A supervised term weighting scheme for multi-class text categorization.Lecture Notes in Artificial Intelligence .2017,10363:436-447.(EI)
114. Shangdi Sun,Xiaodong Gu*. Convolution Window in Convolutional Neural Network for Sentiment Classification.Lecture Notes In Computer Science ,2017,10614:40-48.(EI)
115. Yiwei Gu,Xiaodong Gu*. The All-Convolutional Neural Network with Recurrent Architecture for Object Recognition.2017,10614:733-734.(EI)
116. Lecheng Zhou,Xiaodong Gu*.FCN and Unit-Linking PCNN Based Image Saliency Detection.Lecture Notes In Computer Science ,2017, 10636:357-366.
117. Ting Yu, ,Xiaodong Gu*.An Approach to Pulse Coupled Neural Network Based Vein Recognition.Lecture Notes In Computer Science ,2017,10639:415-422.(EI)
118. Youcai zhang,Xiaodong Gu*.Graph Embedding Learning for Cross-Modal Information Retrieval.Lecture Notes In Computer Science ,2017, 10636: 594-601.
119. Yikai Hua,Xiaodong Gu*.Visual Saliency Using Unit-linking PCNN Image Segmentation. InProc.International Conference on Natural Computation,Guilin, China, 2017,879-883.(EI)
120. Shangdi sunXiaodong Gu*.Support Vector Machine Equipped With Deep Convolutional Features for Product Reviews Classification.InProc.International Conference on Natural Computation,Guilin, China,2017,130-135.(EI)
121. Jiancheng Wang,Xiaodong Gu*.Moving Object Attention Selection Using Optical Flow And Pulse Coupled Neural Network. InProc.International Conference on Natural Computation,Guilin, China, 2017,2705-2709.(EI)
122. Mengmeng Liao,Xiaodong Gu*.A new Supervised Image Classification Using Data set Partition . InProc.International Conference on Natural Computation,Guilin, China, 2017,1586-1591.(EI)
123. 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.

124. 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.

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

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

127. 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)

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

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

130. 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)

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. 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.

133. 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)

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

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

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

137. 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)

138. 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）

139. 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）

140. 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）

141. 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.

142. 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.

143. 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.

144. 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)

145. 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)

146. 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)

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

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

149. 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.

150. 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.

151. 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)

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

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

154. 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)

155. 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.

156. Yuying Zhang,Xiaodong Gu*, Yuanyuan Wang. A model-oriented road detection approach using Fuzzy SVM.Journal of Electronics2010,27(6):795-800.

157. 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.

158. 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.

159. 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.

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

161. 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.

162. 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)

163. 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)

164. 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)

165. 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.

166. 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.

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

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

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

170. 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)

171. 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.

172. 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.

173. Yu MaXiaodong Gu,Yuanyuan Wang*. Contour detection based on self-organizing feature clustering. InProc.International Conference on Natural Computation,Haikou, China, 2007, vol.2, pp.221-226.(EI)

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

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

176. 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)

177. 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)

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

179. 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.

180. 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.

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

182. Xiaodong Gu*.Integrate Different neural models using double channels of Pulse Coupled Neural Network. InAchieving Functional Integration of Diverse Neural Models, WorkshopinIJCNN,Montreal, Canada,2005, pp.9-10

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

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

185. 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)

186. 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)

187. 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.

188. 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)

189. 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)

190. 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.

191. 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.

192. 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.

193. 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.

194. 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)

195. 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.

196. 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)

197. 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.

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

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

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

201. 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.