中文简历

个人简介

  • 张敬林，男，教授，博士生导师
  • 出生日期：1983/10/06
  • 籍 贯：山东潍坊
  • 学 历：工学博士
  • 邮 箱：Jinglin.zhang@sdu.edu.cn
  • 电 话：13182911237

研究领域

主要从事人工智能、海洋遥感和风光新能源功率预测与故障诊断等交叉学科研究，沿着遥感影像关键技术突破到智慧气象交叉领域应用的研究思路，在国家重点研发计划、国家自然科学基金等项目的支持下，针对面向海洋资源利用与生物多样性等国家重大需求，构建了涵盖国家发明专利、国家标准、软著与特色奖项等的重大自主创新技术体系。近五年获评泰山学者-青年专家、山东省杰出青年等荣誉，中国计算机学会技术发明二等奖（序1）中国图像图形学会科技进步二等奖（序2）以及广东省技术发明一等奖（序10）等奖励，累计共发表学术论文80余篇，其中第一/通讯作者SCI论文37篇（ESI高被引论文3篇，最佳/杰出论文3篇）；已授权发明专利17项。

教育和工作背景

  • 2022.3 至今 山东大学 控制科学与工程学院 教授
  • 2018.3 - 2022.02 国家自然科学基金委员会 计划局联合基金管理处 流动编制业务主管
  • 2022.3 - 2023.3 国家自然科学基金委员会 信息学部二处 兼职聘用
  • 2014.7 - 2022.2 南京信息工程大学 计算机学院 副教授、教授
  • 2010.9 - 2014.6 法国雷恩国立应用科学院 (INSA-Rennes) 电子与通信工程 工学博士
  • 2007.9 - 2010.6 上海大学 电路与系统 工学硕士
  • 2003.9 - 2007.6 中南民族大学 通信工程 工学学士

科研项目

  • 科技部重点研发计划－基于气象卫星影像的典型灾害天气智能解译关键技术研究与应用示范 项目负责人
  • 科技部重点研发计划－多模态动作与意图协同感知与呈现技术 课题负责人
  • 国家自然科学基金联合基金－面向山东半岛的海洋生物多样性智能监测与保护关键技术研究 项目负责人
  • 国家自然科学基金面上项目－基于卫星资料的飞机尾迹云识别及其辐射强迫研究 项目负责人
  • 国家自然科学基金青年项目－面向移动异构平台的场景流估计关键技术研究 项目负责人
  • 山东省杰出青年基金项目-气象遥感与智能感知 项目负责人
  • 山东省重大基础研究项目-复杂动态场景下无人协同目标感知与理解研究 项目负责人
  • 江苏省重点研发计划－基于人工智能的航空气象预报预警关键技术研发 项目负责人

最新成果

  1. hen Q, Zhang Z, Zhang Z, et al. Distilled large language model-driven dynamic sparse expert activation mechanism[J]. Applied Soft Computing, 2025: 114037.https://doi.org/10.1016/j.asoc.2025.114037.（中科院二区top，IF:6.6）
  2. Huang C, Mu P, Zhang J, et al. Benchmark dataset and deep learning method for global tropical cyclone forecasting[J]. Nature Communications, 2025, 16(1): 5923. https://doi.org/10.1038/s41467-025-61087-4.（中科院一区，IF:17.694）
  3. Zhang Y, Wang Z, Huang M, et al. S2DBFT: Spectral-Spatial Dual-Branch Fusion Transformer for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.https://ieeexplore.ieee.org/abstract/document/11156119.（中科院一区，IF:8.6）

以往成果

  1. Wang Jiashu, Song Jinze, Zhang Hao, Zhang Zekai, Ji Yunlong, Zhang, Wenyin, Zhang Jinglin and Wang Xing, SPMNet: A Siamese Pyramid Mamba Network for Very-High-Resolution Remote Sensing Change Detection, IEEE Transactions on Geoscience and Remote Sensing, 2025, DOI:10.1109/TGRS.2025.3565801.（中科院一区，IF:5.855）
  2. S. Wang, Y.B. Gao, S. Li, C. Lv, X. Cai, C.K. Li, H. Yuan, J.L. Zhang, MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Highlight Paper.
  3. Z. Zhang, Q. Chen, M. Xiong, S. Ding, Z. Su, X. Yao, Y. Sun, C. Bai, and J. Zhang*, Zero-shot learning in industrial scenarios: New large-scale benchmark, challenges and baseline, Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2025.
  4. Ding S, Xiong M, Wang X, and Zhang J*, Dynamic feature and context enhancement network for faster detection of small objects, Expert Systems With Applications, 2025, DOI:10.1016/j.eswa.2024.125732.（中科院一区，IF:7.5）
  5. Yuanjiang Li, Liping Li, Lei Li, Xinyu Huang, Guodong Sun, Yina Wang, Jinglin Zhang*, Research on Hybrid Data-Driven Method for Predicting the Remaining Useful Life of Lithium-Ion Batteries, Computer Physics Communications, 2025, https://doi.org/10.1016/j.cpc.2025.109500.（中科院二区，IF:7.2）
  6. Xiangjun Cai, Dagang Li, Jinglin Zhang, Zhuohao Wu, MA-EMD: Aligned empirical decomposition for multivariate time-series forecasting, Expert Systems with Applications, 2025, https://doi.org/10.1016/j.eswa.2024.126080.（中科院一区，IF:7.5）
  7. Zhang J, Zhang Z, Chen Q et al, Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location, IEEE Transactions on Neural Networks and Learning Systems, 2024, DOI:10.1109/TNNLS.2024.3479734. （中科院一区，IF:10.4）
  8. Zhu, Pengfei and Li, Jialu and Wang, Yu and Xiao, Bin and Zhang, Jinglin and Lin, Wanyu and Hu, Qinghua, Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering, IEEE Transactions on Neural Networks and Learning Systems, 2025,36(5),pp:8346-8359, DOI:10.1109/TNNLS.2024.3416167.（中科院一区，IF:10.4）
  9. Lei Li, Yuanjiang Li, Runze Mao, Yueling Li, Weizhi Lu, Jinglin Zhang*, TPANet: A novel triple parallel attention network approach for remaining useful life prediction of lithium-ion batteries, Energy, 2024, https://doi.org/10.1016/j.energy.2024.132890. （中科院一区，IF:9.0）
  10. Qinghui Chen, Lunqian Wang, Zekai Zhang, Xinghua Wang, Weilin Liu, Bo Xia, Hao Ding, Jinglin Zhang*, Sen Xu and Xin Wang, Dual-path aggregation transformer network for super-resolution with images occlusions and variability, Engineering Applications of Artificial Intelligence, 2025, https://doi.org/10.1016/j.engappai.2024.109535. （中科院一区，IF:7.5）
  11. Song, Y., Wang, X., Yao, J. and Zhang J. ViTGaze: gaze following with interaction features in vision transformers. Vis. Intell, 2:31,2024, https://doi.org/10.1007/s44267-024-00064-9.
  12. Ding H, Xia B, Liu W, Zhang Z, Zhang J*, Wang X, Xu S, A Novel Mamba Architecture with a Semantic Transformer for Efficient Real-Time Remote Sensing Semantic Segmentation. Remote Sensing, 2024, 16(14):2620. https://doi.org/10.3390/rs1614262. （中科院二区，IF:4.2）
  13. Lunqian Wang, Xinghua Wang, Weilin Liu, Hao Ding, Bo Xia, Zekai Zhang, Jinglin Zhang* and Sen Xu, A unified architecture for super-resolution and segmentation of remote sensing images based on similarity feature fusion, Displays, 2024, https://doi.org/10.1016/j.displa.2024.102800. （中科院二区，IF:3.7）
  14. Yuanjiang Li, Ying Zhu, Yang Yu, Runze Mao, Linchang Ye, Yun Liu, Ruochen Liu, Tao Lang and Jinglin Zhang*, DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data, Expert Systems with Applications, 2024, https://doi.org/10.1016/j.eswa.2024.124944. （中科院一区，IF:7.5）
  15. Shuxin Zhuang, Heye Zhang, Wanli Ding, Zhemin Zhuang, Jinglin Zhang*, Zhifan Gao, Semi-supervised domain adaptation incorporating three-way decision for multi-view echocardiographic sequence segmentation, Applied Soft Computing, 2024, https://doi.org/10.1016/j.asoc.2024.111449. （中科院一区，IF:8.7）
  16. H. Yan，Pan Mu，Cheng Huang，J. Zhang and C. Bai, Phy-CoCo: Physical Constraint-Based Correlation Learning for Tropical Cyclone Intensity and Size Estimation，ECAI 2024，pp. 2226-2233, DOI:10.3233/FAIA240744.
  17. D. Zhao, Q. Wang*, J. Zhang and C. Bai, Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification, IEEE Transactions on Geoscience and Remote Sensing, 2023, vol. 61, pp. 1-15, DOI: 10.1109/TGRS.2023.3270204. （中科院一区，IF:5.855）
  18. Yang, D., He, X., Wang, J., Yu, G., Domeniconi, C. and Zhang, J. Federated Causality Learning with Explainable Adaptive Optimization. AAAI 2024, 38(15), 16308-16315.
  19. Shang, S., Shan, Z., Liu, G., Wang, L., Wang, X., Zhang, Z. and Zhang, J. ResDiff: Combining CNN and Diffusion Model for Image Super-resolution. AAAI 2024, 38(8), 8975-8983.
  20. S. Shang, Zhang J*, X. Wang, X. Wang, Y. Li and Y. Li, Faster and Lighter Meteorological Satellite Image Classification by a Lightweight Channel-Dilation-Concatenation Net, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, vol. 16: pp. 2301-2317, DOI: 10.1109/JSTARS.2023.3243915.（中科院二区，IF:4.715）
  21. C. Bai, Z. Cai, X. Yin and J. Zhang, LSDSSIMR: Large-Scale Dust Storm Database Based on Satellite Images and Meteorological Reanalysis Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 10121-10131, 2023, doi: 10.1109/JSTARS.2023.3325783. （中科院二区，IF:4.715）
  22. Li Yuanjun, Zhu Zhiyu, Li Yuanjiang, Zhang Jinglin, Li Xi, Shang Shuyao and Zhu Dewen, CTMU-Net: An Improved U-Net for Semantic Segmentation of Remote-Sensing Images Based on the Combined Attention Mechanism, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.16, pp:10148-10161, 2023, 10.1109/JSTARS.2023.3326960. （中科院二区，IF:4.715）
  23. C. Huang, C. Bai, S. Chan, J. Zhang, and Y. Wu, MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data, AAAI, 2023, vol. 37, no. 4, pp. 5096-5104.
  24. Kang, X., Yu, G., Wang, J., Guo, W., Domeniconi, C. and Zhang, J. Incentive-Boosted Federated Crowdsourcing. AAAI 2023, 37(5), 6021-6029.
  25. Gao, Z., Wang, J., Yu, G., Yan, Z., Domeniconi, C. and Zhang, J. Long-Tail Cross Modal Hashing. AAAI 2023, 37(6), 7642-7650.
  26. L. -Q. Wang, X. -H. Wang, W. -L. Liu, B. Xia, H. Ding and J. -L. Zhang, Metafoemer Super-Resolution Network with Recursive Gated Attention for the Meteorological Satellite Cloud Image, ICMLC 2023, pp.528-535, doi: 10.1109/ICMLC58545.2023.10327984.
  27. Dong Zhang, Heye Zhang, Hongwei Zhang, Lei Xu, Jinglin Zhang*, Zhifan Gao, Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography, Future Generation Computer Systems, 2023(145): Pages 136-149, DOI: 10.1016/j.future.2023.03.007. （中科院一区，IF:7.307）
  28. L. Li, Y. Li, R. Mao, L. Li, W. Hua and Zhang J*, Remaining useful life prediction for lithium-ion batteries with a hybrid model based on TCN-GRU-DNN and dual attention mechanism, IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2023.3247614.（中科院一区，IF:6.520）
  29. Zhifan Gao, Saidi Guo, Chenchu Xu, Jinglin Zhang*, Mingming Gong, Javier Del Ser and Shuo Li, Multi-domain Adversarial Variational Bayesian Inference for Domain Generalization, IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI:10.1109/TCSVT.2022.3232112. （中科院一区，IF:5.859）
  30. Jia Z, Yang S, Zhang J*, Zhang Y, Yang Z, Xue K, Bai C. PRSOT: Precipitation Retrieval from Satellite Observations Based on Transformer. Atmosphere. 2022; 13(12):2048. https://doi.org/10.3390/atmos13122048.（中科院三区，IF:3.110）
  31. Boyan Wang, Xuegang Hu, Jinglin Zhang*, Chenchu Xu and Zhifan Gao, Intelligent Internet of Things in Mammography Screening using Multicenter Transformation Between Unified Capsules, IEEE IoT Journal, DOI: 10.1109/JIOT.2022.3209895.（中科院一区，IF:9.936）
  32. Pengfei Zhu, Zhilin Zhu, Yu Wang, Jinglin Zhang, Shuai Zhao, Multi-granularity episodic contrastive learning for few-shot learning. Pattern Recognition, 2022, 131, https://doi.org/10.1016/j.patcog.2022.108820.
  33. Cong Bai, Dongxiaoyuan Zhao, Minjing Zhang and Jinglin Zhang*, Multimodal Information Fusion for Weather Systems and Clouds Identification From Satellite Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15, DOI: 10.1109/JSTARS.2022.3202246.（中科院三区，IF:4.715）
  34. F. Sun, C. Bai, Y. Song and Zhang J*, MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar, 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 97-103, doi: 10.1109/ICPR56361.2022.9956046.
  35. Cong Bai, Chao Zeng, Qing Ma and Jinglin Zhang*, Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval, IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2022.3174970. （中科院一区，IF:10.451）
  36. Cheng huang, Cong Bai, Sixian Chan, and Jinglin Zhang*, MMSTN: a Multi-Modal Spatial-Temporal Network for Tropical Cyclone Short-Term Prediction, Geophysical Research Letters, DOI: 10.1029/2021GL096898. （中科院一区，IF:4.497）
  37. Cong Bai, Feng Sun, Jinglin Zhang*, Shengyong Chen, Rainformer: Features Extraction Balanced Network for Radar-based Precipitation Nowcasting, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2022.3162882. （中科院二区，IF:3.966）
  38. Yuanjiang Li, Yunfeng Chen, Kai Zhu, Cong Bai and Jinglin Zhang*, An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems, Pages:16835-16849, 9(18), 2022, IEEE IoT Journal, DOI: 10.1109/JIOT.2022.3153343.（中科院一区，IF:9.936）
  39. Minmin Miao, Wenjun Hu, Baoguo Xu, Jinglin Zhang*, Joel J. P. C. Rodrigues and Victor Hugo C. de Albuquerque, Automated CCA-MWF algorithm for unsupervised identification and removal of EOG artifacts from EEG, Journal of Biomedical and Health Informatics, Pages: 3607-3617, 26(8), 2022, DOI:10.1109/JBHI.2021.3131186.（中科院一区，IF:5.223）
  40. Zhilan Li, Jinglin Zhang*, Shijie Zhao, Quan Liu, Yan Wang, Changrui Wang, Joint Funds of the National Natural Science Foundation of China: a review of information sciences between 2011 and 2020, SCIENCE CHINA Information Sciences, 2021, doi: 10.1007/s11432-021-3357-8. （中科院二区，IF: 4.380）
  41. Feng Yuchao, Jianwei Zheng, Mengjie Qin, Cong Bai, and Jinglin Zhang, 3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples, Remote Sensing, 2021, DOI:doi.org/10.3390/rs13214407. （中科院二区，IF: 4.848）
  42. Zhang Yushan, Kun Wu, Jinglin Zhang, Feng Zhang, Haixia Xiao, Fuchang Wang, Jianyin Zhou, Yi Song, and Liang Peng, Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning, Remote Sensing, 2021, DOI:doi.org/10.3390/rs13163332. （中科院二区，IF: 4.848）
  43. Boyan Wang, Xuegang Hu, Jinglin Zhang*, Chenchu Xu and Zhifan Gao, Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules, IEEE IoT Journal, DOI: 10.1109/JIOT.2022.3209895.（中科院一区，IF:9.936）
  44. Chuchen Li, Mingqiang Chen, Jinglin Zhang* and Huafeng Liu*, Cardiac MRI segmentation with focal loss constrained deep residual networks, Physics in Medicine and Biology, 2021,66(31), DOI: 10.1088/1361-6560/ac0bd3.（中科院二区，IF:2.883）
  45. Jingyu Hao, Guang Yang, Zhifan Gao, Jinglin Zhang*, and Heye Zhang, Member, IEEE, Annealing Genetic GAN for Imbalanced Web Data Learning, IEEE Transactions on Multimedia, 2022, 24:pp.1164-1174, DOI:10.1109/TMM.2021.3120642.（中科院一区，IF:6.051）
  46. Cong Bai, Minjing Zhang, Jinglin Zhang* and Jianwei Zheng, LSCIDMR: Large-scale Satellite Cloud Image Database for Meteorological Research, IEEE Transactions on Cybernetics, 52(11), 2022, DOI:10.1109/TCYB.2021.3080121.（中科院一区，IF:11.079）
  47. Zecheng Zhou, Feng Zhang*, Haixia Xiao, Fuchang Wang, Kun Wu, Jinglin Zhang, A Novel Ground-based Cloud Image Segmentation Method by Using Deep Transfer Learning, Geoscience and Remote Sensing Letters, DOI:10.1109/LGRS.2021.3072618.（中科院二区，IF:3.833）
  48. Haixia Xiao, Feng Zhang, Zhongping Shen, Kun Wu, Jinglin Zhang, Classification of Weather Phenomenon from Images by using Deep Convolutional Neural Network, Earth and Space Science, DOI: 10.1029/2020EA001604.（中科院三区，IF:2.312）
  49. Jinglin Zhang, Zhipeng Yang, Zhaoying Jia, Feng Zhang, Cong Bai*, Superresolution Imaging With a Deep Multipath Network for the Reconstruction of Satellite Cloud Images, Earth and Space Science, DOI: 10.1029/2020EA001559.（中科院三区，IF:2.9）
  50. Chenchu Xu, Zhifan Gao, Dong Zhang, Jinglin Zhang*, Lei Xu, and Shuo Li, Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things, IEEE IoT Journal, DOI:10.1109/JIOT.2021.3068775.（中科院一区，IF:9.936）
  51. Jinglin Zhang, Yanbo Wang, Yi Zhang and Yuanjiang Li*, Diagnosis of Inter-turn Short Circuit of PMSM Based on Few-Shot Learning in Federated Learning Framework, IEEE Transactions on Industrial Informatics, 2021, 12(17):8495 - 8504, DOI:10.1109/TII.2021.3067915.（中科院一区，IF:10.215）
  52. Cong Bai, Hongkai Li, Jinglin Zhang*, Ling Huang and Lu Zhang, Unsupervised Adversarial Instance-level Image Retrieval, IEEE Transactions on Multimedia, vol. 23, pp. 2199-2207, DOI: 10.1109/TMM.2021.3065578.（中科院一区，IF:6.051）
  53. Cheng Huang, Sixian Chan, Cong Bai, Weilong Ding and Jinglin Zhang*, Tropical Cyclones Tracking Based on Satellite Cloud Images: Database and Comprehensive Study. MMM (2) 2021: 13-25.
  54. Yuanjiang Li, Yanbo Wang, Yi Zhang, Jinglin Zhang*, The Diagnosis of Inter-turn Short Circuit of Permanent Magnet Synchronous Motor Based on Deep learning and Small Fault Samples, Neurocomputing, 2020, DOI:10.1016/j.neucom.2020.04.160. （中科院二区，IF:4.438）
  55. Yuanjiang Li, Yi Yang, Kai Zhu, Jinglin Zhang*, Clothing Sale Forecasting by a Composite GRU-Prophet Model With an Attention Mechanism, IEEE Transactions on Industrial Informatics, 2021, 12(17):8335-8344, DOI:10.1109/TII.2021.3057922.（中科院一区，IF:10.215）
  56. Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin, DeepMM: Deep Learning Based Map Matching with Data Augmentation, IEEE Transactions on Mobile Computing, DOI:10.1109/TMC.2020.3043500.（中科院二区，IF:5.112）
  57. Jinglin Zhang, Pu Liu, Feng Zhang, Hironobu Iwabuchi and Victor Hugo C. de Albuquerque, Ensemble Meteorological Cloud Classification Meets Internet of Dependable and Controllable Things, IEEE IoT Journal, DOI: 10.1109/JIOT.2020.3043289.（中科院一区，IF:9.51）
  58. Guoqing Zhang, Junchuan Yang, Zheng Yuhui, Zhiyuan Luo, Jinglin Zhang, Optimal Discriminative Feature and Dictionary Learning for Image Set Classification, Information Sciences, DOI: 10.1016/j.ins.2020.08.066 （中科院一区，IF:5.91）
  59. Jinglin Zhang, Chenchu Xu, Zhifan Gao*, Joel J. P. C. Rodrigues, and Victor Hugo C. de Albuquerque, Industrial Pervasive Edge Computing-based Intelligence IoT for Surveillance Saliency Detection, IEEE Transactions on Industrial Informatics, 2020, 17(7): 5012 - 5020, DOI:10.1109/TII.2020.3007792. （中科院一区，IF:10.215）
  60. Rong Lei, Jinglin Zhang (co-first), Hongmei Zhou, Quan Liu, Hao Wang*, Analysis of population health projects funded by Joint Fund of the National Natural Science Foundation of China between 2015 and 2019, Annals of Translational Medicine, 2020,8(22):1477. （联合基金管理论文，中科院三区，IF:3.297）
  61. Cong Bai, Chao Zeng, Qing Ma, Jinglin Zhang, Shengyong Chen, Deep Adversarial Discrete Hashing for Cross-Modal Retrieval, ICMR ’20: International Conference on Multimedia Retrieval, June 2020.
  62. Shaoliang Peng, Xing Hu, Jinglin Zhang, Xiaolan Xie, Chengnian Long, Zhihui Tian, Hongbo Jiang, An efficient double-layer blockchain method for vaccine production supervision, IEEE Transactions on NanoBioscience, 2020, 19(3), pp:579-587, 10.1109/TNB.2020.2999637. （中科院三区，IF:2.791）
  63. Jinglin Zhang, Minghui Dai, Zhou Su, Task Allocation With Unmanned Surface Vehicles in Smart Ocean IoT, IEEE IoT Journal, 2020, 7(10): 9702 - 9713, DOI: 10.1109/JIOT.2020.2991578. （中科院一区，IF:9.51）
  64. Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang* and Aoying Zhou*, Learning Vertex Representations for Bipartite Networks, IEEE Transactions on Knowledge and Data Engineering, 2020, DOI: 10.1109/TKDE.2020.2979980.（中科院二区，IF:4.935）
  65. Jianwei Zheng, Yuchao Feng, Jinglin Zhang and Cong Bai*, Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling, IEEE Transactions on Geoscience and Remote Sensing, 2020, DOI:10.1109/TGRS.2020.2995575. （中科院一区，IF:5.855，ESI高被引）
  66. Wei Zhou, Likun Shi, Zhibo Chen* and Jinglin Zhang*, Tensor Oriented No-Reference Light Field Image Quality Assessment, IEEE Transactions on Image Processing, 2020, DOI:10.1109/TIP.2020.2969777. （中科院一区，IF:10.856）
  67. Xinyi Wu, Zhenyao Wu, Jinglin Zhang, Lili Ju, Song Wang, SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM. Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 34(7):12410-12417.
  68. Yuan Huang, Hongkai Li, Cong Bai*, Jinglin Zhang and Shengyong Chen, Image Captioning based on Conditional Generative Adversarial, ChinaMM 2019. (Outstanding Paper Award)
  69. Likun Shi, Wei Zhou, Zhibo Chen, and Jinglin Zhang, No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement, IEEE Transactions on Circuits and Systems for Video Technology, 2019, DOI:10.1109/TCSVT.2019.2955011. （中科院一区，IF:5.859）
  70. Pengyi Hao, Xiang Gao, Zhihe Li, Jinglin Zhang*, Fuli Wu, Cong Bai, Multi branch Fusion Network for Myocardial Infarction Screening from 12-lead ECG Images, Computer Methods and Programs in Biomedicine, 2019, DOI: https://doi.org/10.1016/j.cmpb.2019.105286. （中科院二区，IF:3.632）
  71. Jinglin Zhang, Mengjie Qin, Cong Bai and Jianwei Zheng, Missing Elements Recovery using Low-Rank Tensor Completion and Total Variation Minimization, IFTC 2019 (Best Paper Award)
  72. Qing Ma, Cong Bai*, Jinglin Zhang, Zhi Liu, Shengyong Chen, Supervised learning based discrete hashing for image retrieval，Pattern Recognition, 2019, 10.1016/j.patcog.2019.03.022 . （中科院一区，IF:7.196）
  73. Weiwei ZHANG, Jinglin Zhang, Xiuquan DU, An End-to-End Joint Learning Framework of Artery-specic Coronary Calcium Scoring in Non-contrast Cardiac CT, Computing, 2019, https://doi.org/10.1007/s00607-018-0678-6. （中科院三区，IF:2.044）
  74. Qiu-Run Yu, Feng Zhang, Jiangnan Li, Jinglin Zhang, Analysis of sea-salt aerosol size distributions in radiative transfer, Journal of Aerosol Science, 2019, DOI: 10.1016/j.jaerosci.2018.11.014. （中科院三区，IF:2.649）
  75. Jinglin Zhang, Pu liu, Feng Zhang, Qianqian Song, CloudNet: Ground‐based Cloud Classification with Deep Convolutional Neural Network, Geophysical Research Letters, 2018, 45(16), pp:8665-8672 . （中科院一区，IF:4.497，ESI高被引）
  76. Guoyu Zhang, Jinglin Zhang* and Jian Shang, Contrail recognition with convolutional neural network and contrail parameterizations evaluation, Scientific Online Letters on the Atmosphere, 2018(14):132-137. （中科院四区，IF:1.632）
  77. Cong Bai, Qing Ma, Pengyi Hao, Zhi Liu and Jinglin Zhang*, Improving stereo matching algorithm with adaptive cross-scale cost aggregation, International Journal of Advanced Robotic Systems, 2018, 15(1):172988141775154. （中科院四区，IF:1.482）
  78. Jinglin Zhang, Zhiwei Liu, Jean-Francois Nezan and Guoyu Zhang, Correspondence matching among stereo images with object flow and minimum spanning tree aggregation, International Journal of Advanced Robotic Systems, 2018, 15(2): 1729881418760986. （中科院四区，IF:1.482）
  79. Jinglin Zhang, Jian Shang, and Guoyu Zhang, Verification for Different Contrail Parameterizations Based on Integrated Satellite and ECMWF Reanalysis Data, Advances in Meteorology, Volume 2017, https://doi.org/10.1155/2017/8707234. （中科院四区，IF:1.962）
  80. Jinglin Zhang, Cong Bai, Jean-Francois Nezan and Jean-Gabriel Cousin, Joint motion model for local stereo video matching method, Optical Engineering, 2015, 54(12). （中科院四区，IF:1.113）
  81. Weizhi Lu, Jinglin Zhang, Kidiyo Kpalma and Joseph Ronsin, Efficient visual tracking via low-complexity sparse representation, EURASIP Journal on Advances in Signal Processing, 2015(21). （中科院四区，IF:1.14）
  82. Cong Bai, Jinglin Zhang, Zhi Liu and Wan-lei Zhao, K-means based histogram using multi resolution feature vectors for color texture database retrieval, Multimedia Tools and Applications, 2014, 74(4): 1469~1488. （中科院三区，IF:2.313）
  83. Jinglin Zhang, Pu Liu, Jianwei Zheng and Cong Bai, Convolutional neural networks based image classification for Himawari-8 stationary satellite imagery, Pacific Rim Conference on Multimedia 2018, pp.804-810.
  84. Jinglin Zhang, Jian shang, Cong Bai, Prototyping Methodology with Motion Estimation Algorithm, Pacific Rim Conference on Multimedia 2016, pp.338-344.
  85. Jinglin Zhang, NEZAN J-F, COUSIN J-G, Real-Time GPU-based Local Stereo Matching Method, Conference on Design & Architectures for Signal & Image Processing (DASIP), 2013, pp.209-214.
  86. Jinglin Zhang, NEZAN J-F, COUSIN J-G, Raffin Erwan, Implementation of stereo matching using a high level compiler for parallel computing acceleration. ACM Proceedings of the 27th Conference on Image and Vision Computing New Zealand (IVCNZ), Nov. 2012, pp. 279-283.
  87. Jinglin Zhang, NEZAN J-F, COUSIN J-G, Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL. IEEE 14th International Conference on High Performance Computing and Communication (HPCC), Jun. 2012, pp. 41-45.

中文期刊

  1. 宋毅, 张晗奕, 孙丰, 张敬林, 白琮. PPNet：基于预先预测的降雨短时预测模型. 电子与信息学报. doi: 10.11999/JEIT230547
  2. 张敬林,薛珂,杨智鹏,人工智能与物联网在大气科学领域中的应用, 地球物理学进展, 2022, 37(1):94-109, DOI:10.6038/pg2022EE0521.
  3. 张敏靖，白琮，张敬林，郑建炜，基于对抗和迁移学习的灾害天气卫星云图分类，北京航天航空大学学报，2021, (3): 585 -595. （ChinaMM2020 最佳墙报奖）
  4. 黄远，白琮，李宏凯，张敬林, 陈胜勇，基于条件生成对抗的图像描述生成方法，计算机辅助设计与图形学学报，2020(32)，911-918
  5. 张敬林，张国宇，杨全，张峰，飞机尾迹云识别及其对气候影响研究进展，大气科学学报，2018(9)，577-584
  6. 张敬林，王旭智，万旺根，基于熵功率的手写识别系统设计，电子设计工程，03，2010
  7. 张敬林，王旭智，万旺根，一种新型的车载导航终端设计与实现，电子测量技术，2009，32(12)，28-32
  8. 王旭智，张敬林，万旺根，一种高精度任意波形发生器的设计，液晶与显示，2009，24(2)

专利情况

  1. 一种联合运动向量的双目视频立体匹配方法， 发明专利，授权号：201510323068.8，排名第一
  2. 一种基于卫星资料的飞机尾迹云识别方法，授权号，：201611016138.6， 排名第一
  3. 一种面向移动硬件的场景流估计方法，发明专利，授权号：201710804875.0，排名第一
  4. 一种自动定向传输的无线充电装置，发明专利，授权号：201810271356.7，排名第一
  5. 一种基于卷积神经网络的云分类方法，发明专利，授权号：201810671072.7，排名第一
  6. 一种基于雷达回波图的降雨预测方法及装置，发明专利，授权号：202210218269.1，排名第三
  7. 一种基于多生成器的环境因素引导的台风多趋势预测方法，发明专利，授权号：2022114878533，排名第四
  8. 一种基于深度学习的卫星云图超分辨率重建方法，发明专利，授权号：202010677892.4，排名第一
  9. 一种冰晶图片的自动分类方法，发明专利，授权号：201910115964.3，排名第三
  10. 一种轻量化气象灾害检测方法，发明专利，授权号：202311532736.9，排名第一
  11. 一种降雨短时预测方法，发明专利，授权号：202310881739.7，排名第四
  12. 一种基于工业动态视觉自我提示的钢铁缺陷检测方法，发明专利，授权号：202410392385.4，排名第三
  13. 一种基于多模态双提示扩散模型的台风预测方法，发明专利，授权号：202410434195.4，排名第四
  14. 一种基于多模态生成对抗的台风短期预报方法及装置，发明专利，授权号：202110339724.9，排名第五
  15. 一种基于物理约束和关联建模的台风多任务估计方法，发明专利，授权号：2024104267848，排名第三
  16. 一种多模态信息混合引导的台风多任务估计方法，发明专利，授权号：2023112092747，排名第五
  17. 基于多层带权残差自注意力和LSTM的手语手势序列识别方法，发明专利，授权号：2024115561888，排名第一
  18. 一种基于多模态域变换和自适应融合的台风生成预报方法，发明专利，202410743135.0（实质审查），排名第四