期刊论文

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, -Link-. （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, -Link-.（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, -Link-.（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, -Link-.（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,-Link-. （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, -Link-.（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, -Link-. （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, -Link-. （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, -Link-.
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. -Link-. （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, -Link-. （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,-Link-. （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, -Link-. （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, -Link-.
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, -Link-. （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, -Link-.（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, -Link-. （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, -Link-. （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, -Link-.
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, -Link-. （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, -Link-.（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, -Link-. （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. -Link-.（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, -Link-.（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, -Link-.
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, -Link-.（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, -Link-.
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, -Link-. （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, -Link-. （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, -Link-. （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, -Link-.（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, -Link-.（中科院一区，IF:5.223）
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