Prof. GU Xiaodong

 Biography  
Prof. Xiaodong Gu received his Ph.D degree in Signal and Information Processing, Peking (Beijing) University in June 2003. From Aug. 2003 to Jul. 2005, He had been a Postdoctoral Fellow with Electronic Science and Technology Postdoctoral Research Station, and Department of Electronic Engineering, Fudan University. From Apr. 2006 to Dec. 2013, he had been an associate professor with Department of Electronic Engineering, Fudan University. From Jan.2009 to Mar.2009, he had been a Guest Professor with Kyushu Institute of Technology, Japan. From Aug.2010 to Sep. 2011, he had been a Visiting Fellow with Princeton University , USA . In Dec. 2013 , he became a full professor with Department of Electronic Engineering, Fudan University. Since 2014 he has been serving as an Editorial Board Member of 'Neural Networks'. He has published more than 200 academic papers, one monograph and four coauthored books. His academic papers have been cited in Google Scholar about 2800 times.He has been being Principal Investigators of ten research projects and vice Principal Investigators of many other projects. His four patents were awarded . He was the recipient of 2003 Excellent Graduate of Peking University , the recipient of 2005 Excellent Dissertation Award of Peking University, and the recipient of 2007 Excellent Postdoctoral Fellow of Fudan University (10/553).He was awarded 25th Shanghai Excellent Invention Trials Silver Award (Third place). He was awarded 2016 Shanghai Natural Science third-class Award (First place), etc.

Research Fields
His research interests include (1) cross-modal analysis, (2)pulse coupled neural network, (3)artificial neural networks , (4)deep learning,(5) image processing, (6)brain-inspired models,（7)pattern recognition ,(8) machine learning, etc.

Selected Publications

(His academic papers have been cited in Google Scholar about 2800 times.H:25)

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

MONOGRAPH

      1.Xiaodong Gu. Spatial-temporal-coding Pulse Coupled Neural Network Theory and Applications.  Science Press, Beijing, Oct 2017. (313 pages, ISBN 978-7-03-054805-4)

BOOK CHAPTER

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.

SELECTED PAPER

1.     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 High Cited Paper)

2.     Yijin Yang,Xiaodong Gu*.Attention-based Gating Network for Robust Segmentation Tracking.  IEEE Transactions on Circuits and Systems for Video Technology, 2024,  DOI 10.1109/TCSVT.2024.3460400.(SCI)

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

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

5.     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 . （EI)

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

7.     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)

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

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

10.   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)

11.   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. DOI: 10.1109/TIP.2023.3251027.(SCI)

12.   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.(SCI)

13.   Yijin Yang, Xiaodong Gu*. Learning rich feature representation and aggregation for accurate visual tracking. Applied Intelligence, 2023，53:28114–28132.0.(SCI)

14.   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)

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

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

17.   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.2023.116981(SCI)

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

19.   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)

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

21.     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）

22.   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)

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

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

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

26.   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)

27.   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(EI)

28.   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)

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

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

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

32.   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) 

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

34.   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)

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

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

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

38.   Lecheng Zhou,Xiaodong Gu*.Embedding topological features into convolutional neural network salient object detection. Neural Networks, 2020,121: 308-318.(SCI)

39.   Mengmeng Liao,Xiaodong Gu*.Face recognition approach by subspace extended sparse representation and feature learning.Neurocomputing. 2020, 373:35-49.(SCI)

40.   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)

41.   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)

42.   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)

43.   Mengmeng Liao,Xiaodong Gu*.  Face recognition based on dictionary learning and subspace learning.Digital Signal Processing,2019,90:110-124 (SCI)

44.   Mengmeng Liao,Xiaodong Gu*.Face recognition algorithm based on feature descriptor and weighted linear sparse representation.IET Image Processing.  13 (12), 2281-2293. (SCI)

45.   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)

46.   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)

47.   Youcai zhang, Jiayao Cao,Xiaodong Gu*.Learning Cross-modal Aligned Representation with Graph Embedding.IEEE Access ,2018, 6, 77321-77333. (SCI)

48.   Xiaodong Gu*，Yiwei Gu, Haibing Wu. Cascaded convolutional neural networks for aspect-based opinion summary.Neural Processing Letters,2017,46(2):581-594.  (SCI)

49.   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)

50.     Haibing Wu,Xiaodong Gu*. Towards dropout training for convolutional neural networks.Neural Networks, 2015, 71:1-10.（SCI)

51.     Zhaohui Meng,Xiaodong Gu*.Hand vein identification using local Gabor ordinal measure Journal of Electronic Imaging.2014,23(5), 053004.(SCI)

52.     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)

53.     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)

54.     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)

55.     Zhaohui Meng,Xiaodong Gu*. Hand vein recognition using local block pattern.Electronics letters,2013，49(25)1614-1615.   (SCI)

56.     Zhuo Zhang,  Xiaodong Gu*,Sunyuan Kung. Color-frequency-orientation histogram based image retrieval, ICASSP  012-IEEE International Conference on Acoustic, Speech, and Signal Processing , Kyoto, Japan, 2012, pp1321-1324. (EI)

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. IEEE Trans. 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.     Xaodong 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.(EI）

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)

70.     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)

71.     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

72.     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)

73.     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)

74.     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.

cross-modal analysis, pulse coupled neural network, artificial neural networks , deep learning image processing, brain-inspired models,pattern recognition , machine learning

Editorial Board Member,Neural Networks

1. 2017 Research Award of Dean Award of School of Information Science and Technology, Fudan University

2. 2016, The Third Prize of Shanghai Natural Science (First place, "Signal processing and brain inspired model using PCNN and other intelligent methods")

3. 2013, 25th Shanghai Excellent Invention Trials Silver Award (Third place)

4. 2013 Teaching Award of School of Information Science and Technology, Fudan University

5. 2008 Research Award of Dean Award of School of Information Science and Technology, Fudan University

6. 2007 Teaching Award of School of Information Science and Technology, Fudan University

7. 2007 Excellent Postdoctoral Fellow of Fudan University (10/553)

8. 2005 Excellent Dissertation Award of Peking University ("Research on Pulse Coupled Neural Network and its Applications")

9. 2005 Yangtze Delta Creativity Second Prize for Young People (One member of the group)
   

10. 2003 Excellent Graduate of Peking University
    

11. 2003 Excellent Academic Paper Award in 13th China National Conference on Neural Networks

12. 2002 Excellent Academic Paper Award in 12th China National Conference on Neural Networks

• June 2000, M.S. in Communication and Information System, Soochow (Suzhou) University
• June 2003, Ph.D. in Signal and Information Processing, Peking (Beijing) University
• Aug. 2003-Jul. 2005, Postdoctoral Fellow, Electronic Science and Technology Postdoctoral Research Station,Fudan University
• Lecturer (2005-2006),Associate Professor (2006-2013), Full Professor (2013-Present) , Doctoral Advisor(2014-Present),  Department of Electronic Engineering, School of Information Science and Technology, Fudan University
• Jan. 2009-Mar. 2009, Guest Professor, Kyushu Institute of Technology, Japan
• Aug. 2010-Sep. 2011,Visiting Fellow,  Princeton University,USA, supported by China Scholarship Council

• For undergraduates:

           "Fundamentals of Electric Circuit(MICR120001.01)"( Fudan University High-qualified Curriculum for Undergraduates)

        "Fundamentals of Analog Electronics"

        "Circuit theory&rdquo"(2006-2014)

•   For postgraduates:

   "Artificial neural network models and applications (INFO630016)"

       "Academic English(DOCT812112; MAST612112)"

      Punlished one monograph, four book chapters and more than 200 academic  papers (more than 150 ones cited by SCI/EI)  .

 MONOGRAPH

1.  Xiaodong Gu. Spatial-temporal-coding Pulse Coupled Neural Network Theory and Applications.  Science Press, Beijing, Oct 2017. (313 pages, ISBN 978-7-03-054805-4)
   

 BOOK CHAPTER

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.

   
   

PAPER

1.     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)

2.     Yijin Yang,Xiaodong Gu*.Attention-based Gating Network for Robust Segmentation Tracking.  IEEE Transactions on Circuits and Systems for Video Technology, 2024,  DOI 10.1109/TCSVT.2024.3460400. (SCI）

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

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

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

6.     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)

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

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

9.     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)

10.   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. （EI, CCF-A类)

11.   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)

12.   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)

13.   Fengzhen Yu, Xiaodong Gu*. Boundary-Aware Noise-Resistant Video Moment Retrieval. International Conference on Artificial Neural Networks (ICANN), LNCS , 2024,15018,193-206.（EI)

14.   Qi Guo, Xiaodong Gu*. A StyleCLIP-based Facial Emotion Manipulation Method for Discrepant Emotion Transitions,2024 17th Asian Conference on Computer Vision (ACCV),LNCS ,2024, 15475：391-408.（EI)

15.   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)

16.   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. DOI: 10.1109/TIP.2023.3251027.(SCI)

17.   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. (SCI)

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

19.   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)

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

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

22.   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.2023.116981.(SCI)

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

24.   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)

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

26.   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）

27.   Yanzhao Wang, Xiaodong Gu*. High-speed scene text detection with attention and multi-scale label generation. Neural Processing Letters, 2023, 55 (4) ,3967-3983doi.org/10.1007/s11063-022-10975-7.(SCI)

28.   Yue Huang, Xiaodong Gu*. Temporal Modeling Approach for Video Action Recognition Based on Vision-languageModels. ICONIP 2023,Lecture Notes In Computer Science-LNCS, 2024,14449：512-523. （EI）

29.   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）

30.   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）

31.   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）

32.   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）

33.   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)

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

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

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

37.   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.（EI）

38.   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）

39.   Changzhi Wang, Xiaodong Gu*. Building joint relationship attention network for image-text generation. 29 th International  Conference on  Computational Linguistics （COLING）,2022,11pages（EI）

40.   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）

41.   Zhenshan Tan, Xiaodong Gu*. Feature recalibration network for salient object detection. Lecture Notes In Computer Science ,2022, 13532:64-75.（EI）

42.   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）

43.   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)

44.   Yijin Yang,Xiaodong Gu*.Learning edges and adaptive surroundings for discriminant segmentation tracking.Digital Signal Processing,2021, 101, 103309 .(SCI)

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

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

47.   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)

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

49.   Cheng Chen, Xiaodong Gu*. UED: A Unified Encoder DecoderNetwork for Visual Dialog . Communications in Computer and Information Science,2021, 1517:101-109. （EI）

50.   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. （EI）

51.   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）

52.   Yanlin Zhang, Ding Qin, Xiaodong Gu*.Subspace Constraint for Single Image Super-Resolution.  Lecture Notes In Computer Science ,2021, 12893:395-407. （EI）

53.   Changzhi Wang, Xiaodong Gu*. An Image Captioning Approach Using Dynamical Attention, In Proc. International Joint Conference on Neural Network (IJCNN)，2021: 8 pages.（EI）

54.   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)

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

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

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

58.   Lecheng Zhou,Xiaodong Gu*.Embedding topological features into convolutional neural network salient object detection. Neural Networks, 2020,121: 308-318.(SCI)

59.   Mengmeng Liao,Xiaodong Gu*.Face recognition approach by subspace extended sparse representation and feature learning.Neurocomputing. 2020, 373:35-49.(SCI)

60.   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)

61.   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)

62.   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）

63.   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）

64.   Ding Qin.  Xiaodong Gu. Single Image Super-Resolution with Hierarchical Receptive Field. In Proc. International Joint Conference on Neural Network (IJCNN)，2020: 8pages. （EI）

65.   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)

66.   Zhenshan Tan, Yikai Hua, Xiaodong Gu*. Salient Object Detection with Edge Recalibration.  Lecture Notes In Computer Science ,2020, 12396:724-735. （EI）

67.   Lecheng Zhou, Xiaodong Gu*. Enriched Feature Representation and Combination for Deep Saliency Detection. Lecture Notes In Computer Science ,2020, 12396:699-710. （EI）

68.   Jinyu Ma, Xiaodong Gu*. End-to-end Saliency-Guided Deep Image Retrieval. Communications in Computer and Information Science ,2020, 1332:402-409（EI）

69.   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)

70.   Mengmeng Liao,Xiaodong Gu*.  Face recognition based on dictionary learning and subspace learning.Digital Signal Processing,2019,90:110-124 (SCI)

71.   Mengmeng Liao,Xiaodong Gu*.Face recognition algorithm based on feature descriptor and weighted linear sparse representation.IET Image Processing.  2019, 13 (12), 2281-2293. (SCI)

72.   Qingrong Cheng,Xiaodong Gu*. Adversarial learning for cross-modal retrieval with Wasserstein distance. Lecture Notes In Computer Science ,2019, 11953,16–29.（EI）

73.   Yikai Hua,  Xiaodong Gu*. Group Loss: an efficient strategy for salient object detection. Communications in Computer and Information Science , 2019, 1142, 104–111.（EI）

74.   Ding Qin, Xiaodong Gu*. Deep Residual-Dense Attention Network for Image Super-Resolution. Communications in Computer and Information Science ,  2019, 1143, 3–10.（EI）

75.   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）

76.   Yikai Hua Xiaodong Gu*. FCN salient object detection using region cropping. Lecture Notes In Computer Science ,2019, 11729, 360–370.（EI）

77.   Qiu Zhe , Xiaodong Gu*. Graph Convolution and Self Attention Based Non-maximum Suppression. Lecture Notes In Computer Science ,2019, 11554, 77–86.（EI）

78.   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)

79.   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)

80.   Youcai zhang, Jiayao Cao,Xiaodong Gu*.Learning Cross-modal Aligned Representation with Graph Embedding.IEEE Access ,2018, 6, 77321-77333. (SCI)

81.   Youcai zhang, Yiwei Gu, Xiaodong Gu*. Two-Stream Convolutional Neural Network for Multimodal Matching. Lecture Notes In Computer Science, 2018, 11139:14-21. （EI）

82.   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)

83.   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）

84.   Mengmeng Liao, Xiaodong Gu*. Face Recognition Using Improved Extended Sparse Representation Classifier and Feature Descriptor.Lecture Notes in Artificial Intelligence ,2018,10956, pp. 306–318. （EI）

85.   Lecheng Zhou, Xiaodong Gu*. Deep Neural Network based Salient Object Detection with Image Enhancement.  Lecture Notes In Computer Science. 2018,11304:444-453. （EI）

86.   Qingrong Cheng, Zhiping Duan, Xiaodong Gu*. Data-driven and Collision-free Hybrid Crowd Simulation Model for Real Scenario. Lecture Notes In Computer Science. 2018,11307:62-73.（EI）

87.   Xiaodong Gu* ,Yiwei Gu, Haibing Wu. Cascaded convolutional neural networks for aspect-based opinion summary. Neural Processing Letters,2017,46(2):581-594.(SCI)

88.   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)

89.   Ting Yu, Xiaodong Gu*. Facial expression recognition using double-stage sample-selected SVM. Lecture Notes In Computer Science ,2017,10361:304-315.（EI）

90.   Yiwei Gu, Xiaodong Gu* . A supervised term weighting scheme for multi-class text categorization. Lecture Notes in Artificial Intelligence .2017,10363:436-447.（EI）

91.   Shangdi Sun, Xiaodong Gu* . Convolution Window in Convolutional Neural Network for Sentiment Classification. Lecture Notes In Computer Science ,2017,10614:40-48.（EI）

92.   Yiwei Gu, Xiaodong Gu*. The All-Convolutional Neural Network with Recurrent Architecture for Object Recognition.2017,10614:733-734.（EI）

93.   Lecheng Zhou, Xiaodong Gu*.  FCN and Unit-Linking PCNN Based Image Saliency Detection. Lecture Notes In Computer Science ,2017, 10636:357-366.（EI）

94.   Ting Yu, , Xiaodong Gu*. An Approach to Pulse Coupled Neural Network Based Vein Recognition. Lecture Notes In Computer Science ,2017, 10639:415-422.（EI）

95.   Youcai zhang, Xiaodong Gu*.  Graph Embedding Learning for Cross-Modal Information Retrieval. Lecture Notes In Computer Science ,2017, 10636: 594-601.（EI）

96.   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）

97.   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）

98.   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）

99.   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)

100.   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.

101. 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.

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

103. 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）

104. 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)

105. Haibing Wu, Xiaodong Gu*. Towards dropout training for convolutional neural networks. Neural Networks, 2015,71:1-10. (SCI)

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

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

108. 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)

109. 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.

110. Zhaohui Meng, Xiaodong Gu* .Hand vein identification using local Gabor ordinal measure. Journal of Electronic Imaging. 2014,23(5), 053004. (SCI)

111. 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)

112. 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）

113. 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）

114. 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）

115. 杨诚，顾晓东*.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)

116. 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.计算机辅助设计与图形学学报, 2014,26(1):56-64. （EI）

117. 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)

118. 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)

119. Zhaohui Meng, Xiaodong Gu*. Hand vein recognition using local block pattern. Electronics letters, 2013，49(25)1614-1615.  (SCI)

120. 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）

121. 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）

122. 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.

123. 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.

124. 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.

125. 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)

126. 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)

127. 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)

128. 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)

129. 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。

130. 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.

131. 陈立雪, 顾晓东*..利用直方图及边缘乘积互信息的PCNN图像分割.计算机工程与应用, 2012,48(7): 181-183.

132. 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.

133. 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)

134. 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)

135. Yu Ma, Xiaodong Gu,Yuanyuan Wang*. Histogram similarity measure using variable bin size distance. Computer Vision and Image Understanding, 2010, 114 :981-989. (SCI )

136. 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)

137. 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)

138. 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.

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

140. 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.

141. 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.

142. 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.

143. 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.

144. 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.

145. Yu Ma, Xiaodong Gu, Yuanyuan Wang*. Color discrimination enhancement for dichromats using self-organizing color transformation. Information Sciences, 2009,179:830-843. (SCI)

146. 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 )

147. 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)

148. 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)

149. 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)

150. 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)

151. 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.

152. Xiaodong Gu*. Feature extraction using Unit-linking pulse coupled neural network and its applications. Neural processing letters,2008, 27:25–41. (SCI )

153. 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.

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

155. 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)

156. 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)

157. 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)

158. 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.

159. 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.

160. 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)

161. 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)

162. 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)

163. 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)

164. 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)

165. 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.

166. 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.

167. 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.

168. Xiaodong Gu*, Yuanyuan Wang, Liming Zhang. Object detection using Unit-Linking PCNN image icons. Lecture Notes In Computer Science , 2006,3972:616-622. (SCI)

169. 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)

170. 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)

171. Xiaodong Gu*, Daoheng Yu, Liming Zhang. Image shadow removal using pulse coupled neural network. IEEE Trans. on Neural Networks,2005, 16(3): 692-698. (SCI )

172. Xiaodong Gu*, Liming Zhang, Daoheng Yu, General design approach to Unit-linking PCNN for image processing. In Proc.  IJCNN-International Joint Conference on Neural Networks, Montreal, Canada, 2005,pp.1836-1842. (EI )

173. 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.

174. Xiaodong Gu*, Zhang Liming, 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)

175. 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)

176. Xiaodong Gu*, Daoheng Yu, Liming Zhang. Image thinning using pulse coupled neural network. Pattern Recognition Letters, 2004,25(9):1075-1084. (SCI )

177. Xiaodong Gu*, Liming Zhang,Daoheng Yu. Simplified PCNN and its periodic solutions. Lecture Notes In Computer Science, 2004,3173: 26-31. (SCI)

178. Xiaodong Gu*,Liming Zhang, Daoheng Yu. Delay PCNN and its application for optimization. Lecture Notes In Computer Science , 2004,3173: 413-418. (SCI)

179. Xiaodong Gu*, Zhang Liming. 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)

180. 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)

181. 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)

182. 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

183. 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)

184. 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)

185. 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.

186. 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.

187. 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.

188. 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.

189. 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)

190. 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.

191. 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)

192. 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.

193. 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)

194. 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)

195. 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)

196. 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.