近3年代表性科研成果： [1] Z Chen, Y Yang, L Zheng, Z Fang, Y Zheng*. “Decoupling label shift and surrogate gradient errors for robust federated spiking neural networks”. The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026). [2] Q Ma, J Chen, P Wang, Y Zheng, Q Zhao, Y Zheng*. “A spatial semantics and continuity perception attention for remote sensing water body change detection”, Pattern Recognition, 2026. [3] H Wang, Q Ma, P Wang, J Chen, Q Zhao, X Wang, Y Zheng*. “FSSENet: A Foundation Model-Based Semantic-Structural Enhanced Network for remote sensing water body change detection”, Pattern Recognition, 2026. [4] W Jia, L Zheng, J Chen, M Zhang, D Wu, Y Zheng*. “DR-SigAttack: distribution-relevant signature attack withstands defense mechanisms for offline signature verification”, International Journal on Document Analysis and Recognition (IJDAR), 2026. [5] J Chen, D Wu, Q Ma, Z Zhao, Y Wu, Y Ren, Y Zheng*.“ACTNet: Adapting CNN-Transformer-based foundation model for remote sensing change detection”, Pattern Recognition, 2026. [6] P Wang, Y Liu, Q Ma, Q Zhao, Z Fang*, Y Zheng*. “EGAFNet: Edge-Guided Adaptive Fusion Network with spatial-frequency interaction for remote sensing change detection”. IEEE Transactions on Geoscience and Remote Sensing, 2026. [7] J Guan, X Yao, Q Zhao, X Wang, Y Zheng. “LIRS-YOLO: A Lightweight YOLO-Based method for infrared features and small object detection”. IEEE Transactions on Geoscience and Remote Sensing, 2026. [8] Z Chen, L Zheng, X Wang, Y Zheng*. “CEHGLS: A Communication-Efficient Head Gradient Linear Search for personalized federated learning under data heterogeneity”.IEEE Internet of Things Journal, 2026. [9] D Wu, J Chen, H Bai, L Yuan, Q Zhao, YZheng*. “MDANet: A Mamba-driven Domain Adaptation Network for cropland change detection.”. IEEE Transactions on Geoscience and Remote Sensing, 2025. [10] W Li, Y Zheng, Y Ren, J Liu, Y Liu, W Li. “PMDAv2: multi-scale prototype matching for domain adaptive semantic segmentation”. Pattern Recognition, 2025. [11] J Chen, S Xu, Y Zheng*.“BaAFN: A Boundary-aware Attention Fusion Network for remote sensing semantic segmentation”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025. [12] Z Chen, L Zheng, X Wang, Y Zheng*. “MH-FCCPI: A personalized federated learning approach for robust offline signature verification”. In 2025 Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2025). [13] J Chen, D Wu, Q Ma, S Xu, Y Zheng*. “AGFormer: An anchor-guided transformer for class imbalance in remote sensing change detection”.Pattern Recognition, 2025. [14] X Zhao, L Zheng, P Yuan,Y Zheng*. “Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification”. Pattern Recognition, 2025. [15] M Zhang, LZheng, J Chen, Y Zhang, Y Zheng*. “SigLDiff: A Signature Based Latent Diffusion model for forged-free offline signature verification”, In 2025 International Conference on Document Analysis and Recognition (ICDAR). [16] W Li, J Liu, Y Ren, Y Zheng, Y Liu, W Li. “Let samples speak: mitigating spurious correlation by exploiting the clusterness of samples”, in 2025 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2025). [17] L Zheng, D Wu, S Xu, Y Zheng*. “HTCSigNet: A Hybrid Transformer and Convolution Signature Network for offline signature verification”. Pattern Recognition, 2025. [18] L Zheng, X Zhao, S Xu, Y Ren, Y Zheng*. “Learning discriminative representations by a canonical correlation analysis-based Siamese network for offline signature verification”, Engineering Application of Artificial Intelligence, 2025. [19] L Zheng, D Wu, M Zhang, Y Zheng*. “SLFRM: A novel signature local feature reconstruction module for offline signature verification”, in 2024 13th International Conference on Computing and Pattern Recognition (ICCPR 2024). [20] Q Zhu, B Zhang, L Yuan, Y Ren, Q Zhao, Y Zheng*.“Discovering optimal subspaces in deep architectures for offline signature verification”, in 2024 13th International Conference on Computing and Pattern Recognition (ICCPR 2024). [21] X Wang, X Wang*, Y Zheng, Z Liu, W Xia, H Guo, D Li. “GDSNet: A gated dual-stream convolutional neural network for automatic recognition of coseismic landslides”. International Journal of Applied Earth Observation and Geoinformation, 2024.
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