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学术论文

  1. Jing Bai, Xu Wang, Zhu Xiao, et al., Achieving Efficient Feature Representation for Modulation Signal: A Cooperative Contrast Learning Approach. IEEE Internet Things J., May 2024, DOI: 10.1109/JIOT.2024.3350927 (中科院一区, IF: 9)NEW！

  2. Jing Bai, Xuebo Liu, Yiran Wang, Zhu Xiao, et al., Integrating Prior Knowledge and Contrast Feature for Signal Modulation Classification. IEEE Internet Things J., Vol. 11, No. 12, June 2024, pp. 21461 - 21473. DOI: 10.1109/JIOT.2024.3377916（中科院一区, IF: 9）NEW！

  3. Yu Liu, Jing Bai, Fangde Sun. Visual Localization Method for Unmanned Aerial Vehicles in Urban Scenes Based on Shape and Spatial Relationship Matching of Buildings. Remote. Sens., Vol. 16, No. 16, August 2024, DOI: 10.3390/rs16163065（中科院一区, IF: 4.9）NEW！

  4. Yiran Wang, Jing Bai, Zhu Xiao, et al., AutoSMC: An Automated Machine Learning Framework for Signal Modulation Classification. IEEE Trans. Inf. Forensics Secur., Vol. 19, 2024, DOI: 10.1109/TIFS.2024.3414249（中科院一区, IF: 7.3）NEW！

  5. Jing Bai, Yuheng Lian, Yiran Wang, et al., An Interpretable Explanation Approach for Signal Modulation Classification. IEEE Trans. Instrum. Meas., Vol. 73, 2024, pp. 1 - 13. DOI: 10.1109/TIM.2024.3381706（中科院二区，IF: 5.6）NEW！

  6. Anran Yuan, Dingchen Wang, Jing Bai, Zhu Xiao,et al., Lightweight and Lifelong Hyperspectral Image Classification via Attention-Based Reservoir Computing. IEEE Trans. Geosci. Remote. Sens., Vol. 62, 2024. DOI: 10.1109/TGRS.2024.3386579（中科院一区, IF: 7.6）NEW！

  7. Jing Bai, Wei Shi, Zhu Xiao, et al., Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial–Spectral Approach. IEEE Transactions on Neural Networks and Learning Systems, Jan. 2023, DOI: 10.1109/TNNLS.2023.3235711 (中科院一区, IF: 10.4) 

  8. Jing Bai, Junjie Ren, Zhu Xiao, et al., Localizing From Classification: Self-Directed Weakly Supervised Object Localization for Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems, Sep. 2023, DOI: 10.1109/TNNLS.2023.3309889 (中科院一区, IF: 10.4) 

  9. Jing Bai, Ruotong Liu, Haisheng Zhao, et al., Hyperspectral Image Classification Using Geometric Spatial-Spectral Feature Integration: A Class Incremental Learning Approach. IEEE Transactions on Geoscience and Remote Sensing, Nov. 2023, DOI: 10.1109/TGRS.2023.3333005. (中科院一区, IF: 8.2)

  10. Xuebo Liu, Yiran Wang, Jing Bai*, Haoran Li, Xu Wang, An Imbalanced Signal Modulation Classification and Evaluation Method Based On Synthetic Minority Over-Sampling Technique. IEEE IGARSS, Oct. 2023, Pasadena, CA, USA.

  11. Jing Bai*, Anran Yuan, Zhu Xiao, Huaji Zhou, Dingchen Wang, Hongbo Jiang, LichengJiao. Class Incremental Learning with Few-Shots Based on Linear Programming for Hyperspectral Image Classification. IEEE Transactions on Cybernetics, vol. 52, no.6, 2022, pp. 5474- 5485.(中科院SCI一区, IF: 19.118) 入选全球ESI TOP 1%高被引论文！

  12. Jing Bai*, Yiran Wang, Zhu Xiao, et al., RffAe-S: Autoencoder Based on Random Fourier Feature with Separable Loss for Unsupervised Signal Modulation Clusterin, IEEE Transactions on Industrial Informatics, online, May. 2022, DOI: 10.1109/TII.2022.3171349. (中科院一区, IF: 10.215) 

  13. Yiran Wang, Jing Bai*, Zhu Xiao, Huaji Zhou, Licheng Jiao. MsmcNet: A Modular Few-shot Learning Framework for Signal Modulation Classification, IEEE Transactions on Siganl Processing, DOI:10.1109/TSP.2022.3191783. (中科院二区, IF: 4.875) 

  14. Jing Bai*, Shaojie Huang, Zhu Xiao, et al., Few-Shot Hyperspectral Image Classification Based on Adaptive Subspaces and Feature Transformation, IEEE Transactions on Geoscience and Remote Sensing, online, Feb. 2022, DOI: 10.1109/TGRS.2022.3149947. (中科院二区, IF: 8.125) 

  15. Jing Bai, Wei Shi, Zhu Xiao, Amelia C Regan, Talal Ahmed Ali Ali, Yongdong Zhu, Rui Zhang, Licheng Jiao. Hyperspectral Image Classification based on Superpixel Feature Subdivision and Adaptive Graph Structure. IEEE Transactions on Geoscience and Remote Sensing, online, Feb. 2022. DOI: 10.1109/TGRS.2022.3153446. (中科院二区, IF: 8.125) 

  16. Jing Bai, Jiawei Lu, Zhu Xiao, Zheng Chen, Licheng Jiao. Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification, Remote Sensing, 2022, DOI: 10.3390/rs14143426. (中科院二区, IF: 5.349) 

  17. Huaji Zhou, Jing Bai*, Linchun Niu, Jie Xu, Zhu Xiao, Shilian Zheng, Licheng Jiao and Xiaoniu Yang. Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming. Remote Sens. Jan. 2022, 14(5), 1177, DOI: 10.3390/rs14051177. (中科院二区, IF: 5.349) 

  18. Huaji Zhou, Jing Bai*, Yiran Wang, Junjie Ren, Xiaoniu Yang, Licheng Jiao. Deep Radio Signal Clustering with Interpretability Analysis Based on Saliency Map, Digital Communications and Networks, 2022, submitted.

  19. Jing Bai*, Wentao Yu, Zhu Xiao. Two-Stream Spatial-Temporal Graph Convolutional Networks for Driver Drowsiness Detection. IEEE Transactions on Cybernetics, online, Oct. 2021, DOI: 10.1109/TCYB.2021.3110813.(中科院SCI一区, IF: 11.448)

  20. Jing Bai*, Bixiu Ding, Zhu Xiao, Licheng Jiao, Hongyang Chen, and Amelia C. Regan. Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network. IEEE Transactions on Geoscience and Remote Sensing, online, Mar. 2021, DOI: 10.1109/TGRS.2021.3066485.(中科院二区, IF: 8.125) 入选全球ESI TOP 1%高被引论文！

  21. Jing Bai*, Junjie Ren, Yujia Yang, Zhu Xiao, Wentao Yu, Vincent Havyarimana, and Licheng Jiao. Object Detection in Large-Scale Remote-Sensing Images Based on Time- Frequency Analysis and Feature Optimization. IEEE Transactions on Geoscience and Remote Sensing, online, Oct. 2021，DOI: 10.1109/TGRS.2021.3119344.(中科院二区, IF: 8.125)

  22. Huaji Zhou, Jing Bai*, Yiran Wang, Licheng Jiao, Shilian Zheng, Weiguo Sheng, Jie Xu, Xiaoniu Yang, Few-shot electromagnetic signal classification: A data union augmentation method. Chinese Journal of Aeronautics, online, Sep. 2021. DOI: 10.1016/j.cja.2021.07.014.(中科院一区)

  23. Fan Zhang, Jing Bai*, Jingsen Zhang, Zhu Xiao. An Optimized Training Method for GAN-Based Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, pp. 1791-1795, Oct. 2021, DOI: 10.1109/LGRS.2020.3009017.

  24. Size Liu, Bixiu Ding, Jing Bai*, Zhu Xiao. Hyperspectral Image Classification Based on Extended Morphological Profile Features and Ghost Module, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021, July.

  25. Jing Bai*, Wentao Yu, Anran Yuan and Zhu Xiao, Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020. July, 20006630.

  26. Zhu Xiao, Fancheng Li; Hongbo Jiang, Jing Bai, Jisheng Xu, Fanzi Zeng, Min Liu. A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks, IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2828-2839, April 2020, DOI: 10.1109/JIOT.2019.2962863.

  27. Wentao Yu, Jing Bai* and Licheng Jiao, "Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos," IEEE Access, vol. 8, pp. 119144-119157, 2020, doi: 10.1109/ACCESS.2020.3004495.

  28. Vincent Havyarimana, Zhu Xiao*, Alexis Sibomana, Di Wu, and Jing Bai. "A Fusion Framework based on Sparse Gaussian-Wigner Prediction for Vehicle Localization using GDOP of GPS Satellites". IEEE Transactions on Intelligent Transportation Systems, Feb., 2020, Vol. 21, No. 2, pp: 680-689.

  29. Fan Zhang, Jing Bai*, Xiaoyu Li, Changxing Pei, Vincent Havyarimana. An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction. KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 1975-1988, Apr. 2019, DOI:10.3837/tiis.2019.04.013.

  30. Jianhua Xiao, Zhu Xiao*, Dong Wang, Jing Bai, Vincent Havyarimana, Fanzi Zeng. Short-term traffic volume prediction by ensemble learning in concept drifting environments. Knowledge-Based Systems, vol. 164, no. 15, Jan. 2019, pp. 213-225. DOI: 10.1016/j.knosys.2018.10.037.

  31. Yourong Huang, Zhu Xiao*, Xiaoyou Yu, Dong Wang, Vincent Havyarimana, Jing Bai. "Road Network Construction with Complex Intersections based on Sparsely-Sampled Private Car Trajectory Data". ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 13, No. 3, Article 35. June 2019, 28 pages. https://doi.org/10.1145/3326060

  32. Jie Chen; Zhu Xiao*; Dong Wang; Daiwu Chen; Vincent Havyarimana; Jing Bai; Hongyang Chen. "Towards Opportunistic Compression and Transmission for Private Car Trajectory Data Collection". IEEE Sensors Journal, March 1, 2019, 19(5): 1925-1935.

  33. Jing Bai*, Shu Song. "Medical Image Denoising Based on Sparse Dictionary Learning and Cluster Ensemble", Soft Computing. 2018, 22(5): 1467-1473.

  34. Wei Zhao, Liangjie Xu, Jing Bai*, Jiateng Yin, Bin Ran, "Sensor-Based Risk Perception Ability Network Design for drivers in Snow and Ice Environmental Freeway: A Deep Learning and Rough Sets Approach". Soft Computing, 2018, 22(5): 1457–1466. (SCI, IF: 2.47).

  35. Jing Bai*, Wenhao Zhang, Zhenzhen Gou, Licheng Jiao, Nonlocal-Similarity-Based Sparse Coding for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 9, pp. 1474-1478, Sept. 2017, DOI: 10.1109/LGRS.2017.2714184.

  36. Jing Bai*, Wenhao Zhang, Zhenzhen Gou, Licheng Jiao, "Nonlocal-Similarity-Based Sparse Coding for Hyperspectral Imagery Classification". IEEE Geoscience and Remote Sensing Letters, 2017. 14(9): 1474-1478.

  37. Jing Bai*, Bin Liu, Lei Wang, Licheng Jiao. "PolSAR image compression based on online sparse K-SVD dictionary learning". Multimedia Tools and Applications, 2017, 76(23): 24859-24870.

  38. Jing Bai*,Shu Song, Ting Fan, Licheng Jiao. "Medical Image Denoising Based on Sparse Dictionary Learning and Cluster Ensemble", Soft Computing[J], 2017, 11: 1-7. (SCI, IF: 2.47)

  39. Jing Bai*, Yanchao Sun, Ting Fan, Shu Song, Xiangrong Zhang, "Medical Image Denoising Based on Improving K-SVD and Block-Matching 3D filtering". IEEE TENCON 2016.

  40. Lei Wang, JingBai, JiajiWu, GwanggilJeon. "Hyperspectral image compression based on lapped transform and Tucker decomposition", Signal Processing: Image Communication, 2015, 36: 63-69. (SCI, IF: 2.244)  

  41. Jing Bai*, Huaji Zhou. Edge Detection Approach Based on Directionlet Transform. ICMT 2011, pp: 3512-3515, 2011. 大会报告(EI: 20113814352569)  

  42. Bai Jing*, Zhao Jiaqi, Jiao LC. Image Segmentation Using Directionlet-domain Hidden Markov Tree Models. RADAR 2011, pp: 1615-1618, 2011大会报告(EI:20121314908205)  

  43. Bai Jing*, Zhao Baini, Jiao LC. An adaptive remote sensing image fusion algorithm based on Directionlet. SPIE MIPPR 2011, 80061L. 大会报告(EI: 20115214642366)  

  44. Xiao Zhu*, Bai Jing, Ma GuanYi, Research on positioning enhancement scheme of CAPS via UWB pseudolite, Science China: Physics, Mechanics and Astronomy, 55(4), pp: 733-737, 2012 

  45. Jiao Licheng*, Wang Lei, Wu Jiaji, Bai Jing, Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images, IEEE Geoscience and Remote Sensing Letters, 8(2), pp: 326-330, 2011 (SCI: 000287659300029)    

  46. Jing Bai*, Xiaohua Wang, and Licheng Jiao. Image Retrieval Based on Color Features Integrated with Anisotropic Directionality. Journal of Systems Engineering and Electronics. Vol. 21, No. 1, pp: 127-133, 2010. (SCI:000275054600020, EI:20103613216637)  

  47. 白静*, 吴家骥, 王磊, 焦李成. 基于提升框架Directionlet域的SAR图像压缩. 红外与毫米波学报, Vol.28, No. 4, pp: 331-315, 2009. (SCI:000269230000017, EI:20093612289546)  

  48. 白静*, 侯彪, 王爽, 焦李成. 基于提升Directionlet域高斯混合尺度模型的SAR图像噪声抑制. 计算机学报, Vol.31, No.7, pp: 1234-1241, 2008. (EI:20083211445056)  

  49. 白静*, 贾建华, 焦李成. 基于空间映射复Directionlet变换的图像纹理分类. 电子与信息学报, Vol.31, No.6, pp: 1332-1336, 2009. (EI: 20092812177053)

  50. 白静*, 吴家骥, 卢山, 焦李成. 基于提升Directionlet 变换的零块嵌入图像编码算法. 自动化学报, Vol. 37, No. 3, pp: 283-289, 2011. (EI: 20111913971903)

  51. Bai Jing*, Wu Jiaji, Lu Shan, Jiao Licheng. Lifting-Based Directionlet Transform for Image Coding. ICSP2008, pp: 1055-1058. 2008. 大会报告 (EI: 20083211445056)

授权专利

  1. 白静，焦李成，赵白妮等，基于方向波域隐马尔可夫树模型的多源图像融合方法，中国发明专利，授权号：ZL201210493328.2 (已进行成果转化)

  2. 白静，陈科雯，张景森等，基于辅任务的深度卷积小波神经网络表情识别方法，授权号：ZL201710446076.0 (已进行成果转化)

  3. 白静，孙衍超等，基于纹理增强与稀疏编码的SAR图像降斑方法，授权号：ZL201710446073.7 (已进行成果转化)

  4. 白静，公文静，焦李成等，基于三维非局部均值滤波的高光谱图像分类方法，授权号：ZL201610561415.5

  5. 白静，余立付等，基于NSCT和SAE的高光谱图像分类方法，授权号：ZL201710277394.9

  6. 白静，徐敏，陈盼等，基于NSCT变换和DCNN的高光谱图像分类方法，授权号：ZL201710449741.1

  7. 白静，焦李成，付旭松等，基于目标区域提取与方向波的SAR图像压缩方法，中国发明专利，授权号：ZL201210493221.8

  8. 白静，焦李成，王爽等，基于方向波变换和模糊理论的图像增强方法，中国发明专利，授权号：ZL201310071636.0

  9. 白静，焦李成，王爽等，基于方向波域的隐马尔可夫模型的图像增强方法，中国发明专利，授权号：ZL201310071841.7

  10. 白静，焦李成，赵白妮等，基于方向波域隐马尔可夫树模型的遥感图像融合方法，中国发明专利，授权号：ZL201310093147.5

  11. 白静，焦李成，范婷等，基于字典学习和PPB算法的SAR图像去斑方法，中国发明专利，授权号：ZL201410062299.3

  12. 白静，焦李成，韩雪云等，基于平稳方向波域概率图模型的图像分割方法，中国发明专利，授权号：ZL2014100923030

  13. 白静，焦李成，勾珍珍等，基于光谱和邻域信息字典学习的高 光谱图像分类方法，中国发明专利，授权号：ZL201410119070.9

  14. 白静，王爽，范婷，基于结构聚类与稀疏字典学习 的医学图像降噪方法，中国发明专利，授权号：ZL201410105869.A

  15. 白静，张钊等，基于方向波变换和改进的水平集的SAR图像变化检测方法，中国发明专利，授权号：ZL201410465229.2

  16. 白静，焦李成，于文倩等，一种基于自适应窗方向波域和改进FCM的SAR图像分割方法，中国发明专利，授权号：ZL2014105197232

  17. 白静，焦李成，刘斌等，基于方向波域图像融合的SAR图像变化检测方法，中国发明专利，授权号：ZL201410091118.X

  18. 白静，焦李成等，基于方向波变换和改进的水平集的SAR图像变化检测方法，授权号：ZL2014104652292

  19. 白静，焦李成等，一种基于自适应窗方向波域和改进FCM的SAR图像分割方法，授权号：ZL2014105197232

  20. 白静，焦李成等，基于特征提取与聚类集成的SAR图像分割方法，授权号：ZL201310645986.3

  21. 白静，焦李成等，基于SSIM校正聚类稀疏表示的SAR图像降斑方法，ZL201510002988.X

  22. 白静，焦李成等，基于稀疏K-SVD的极化SAR图像压缩方法，授权号：ZL201410663762X

  23. 白静，焦李成等，基于方向波域图像融合的SAR图像变化检测方法，ZL201410091118.X

  24. 白静，张钊等，基于滚动导向的图像去雾方法，授权号：ZL2015109980476

  25. 焦李成，白静，付旭松等, 基于非下采样方向波与融合的SAR图像去噪方法，中国发明专利，授权号：ZL201310092935.2

  26. 侯彪，焦李成，张文科，白静等，基于FPGA的USB转多路链路接口电路，中国发明专利，授权号：ZL201310374495.X

  27. 软件著作权：白静，胡波等, SAR图像分割助手软件, 2013SR122817
出版专著

  1. Liu, Fang, Bai Jing*. Image Fusion Based on Muti-directional Multiscale Analysis and Immune Optimization, Chapter 10 of the book 《IMAGE FUSION》, ISBN 978-953-307-679-9, Publisher： InTech, Publishing date: January 2011.

  2. 焦李成，侯彪，王爽，刘芳，钟桦，白静 等， 雷达与探测前沿技术丛书——《高分辨SAR图像解译与目标识别》，国防工业大学出版社，2018。
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