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遥感图像领域
Renhe Zhang, Qian Zhang*, and Guixu Zhang, LSRFormer: Efficient Transformer Supply Convolutional Neural Networks with Global Information for Aerial Image Segmentation, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024, Art no. 5610713. (中科院1区，JCR1区，Top期刊)
Renhe Zhang, Qian Zhang* and Guixu Zhang, SDSC-UNet: Dual Skip Connection ViT-Based U-Shaped Model for Building Extraction, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 6005005.
Renhe Zhang, Zhechun Wan, Qian Zhang* and Guixu Zhang, DSAT-Net: Dual Spatial Attention Transformer for Building Extraction From Aerial Images, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 6008405.
Qian Zhang, Guang Yang, and Guixu Zhang*, Collaborative Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022. (中科院1区，JCR1区，Top期刊)
Zhifeng Huang, Qian Zhang*, and Guixu Zhang, MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images, Remote. Sensing, vol. 14, p. 1498, 2022. （Top期刊）
Rouyu Zhang, Baokai Lin, Qian Zhang*, and Guixu Zhang, Homogeneous Aggregation Convolution for Building Extraction From Remote Sensing Images, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
Zhechun Wan, Qian Zhang*, and Guixu Zhang, Low-Level Feature Enhancement Network for Semantic Segmentation of Buildings, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6510205, doi: 10.1109/LGRS.2022.3173626.
Baokai Lin, Guang Yang, Qian Zhang* and Guixu. Zhang, Semantic Segmentation Network Using Local Relationship Upsampling for Remote Sensing Images, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 8006105.
Guang Yang, Qian Zhang* and Guixu Zhang, “EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images,” Remote Sensing, vol. 12, no. 13, p. 2161, 2020. （Top期刊）
董蕴雅，张倩*, 基于CNN的高分遥感影像深度语义特征提取研究综述. 遥感技术与应用，34(1): 1-11，2019.
Yunya Dong and Qian Zhang*. A Combined Deep Learning Model for the Scene Classification of High-Resolution Remote Sensing Image. IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 1540-1544, 2019.
Qian Zhang, Xin Huang*, and Guixu Zhang*,Urban Area Extraction by Regional and Line Segment Feature Fusion and Urban Morphology Analysis, Remote Sensing, vol.9, pp.663, 2017.
Qian Zhang, Xin Huang*, and Guixu Zhang, A Morphological Building Detection Framework for High-Resolution Optical Imagery Over Urban Areas, IEEE Geoscience and Remote Sensing Letters, vol.13, pp. 1388-1392, 2016.
Yang Xiao, Faming Fang, Qian Zhang*, Aimin Zhou, and Guixu Zhang, Parameter selection for variational pan-sharpening by using evolutionary algorithm, Remote Sensing Letters, vol.6, pp.458-467, 2015.
Qian Zhang, Xin Huang*, and Liangpei Zhang, An energy-driven total variation model for segmentation andclassification of high spatial resolution remote-sensing imagery, IEEE Geoscience and Remote Sensing Letters, vol.10, pp.125-129, 2013.
张倩, 黄昕*, 张良培, 高分辨率遥感影像的全变分分割模型, 测绘科学, 37(5):81-83, 2012.
Qian Zhang, Liangpei Zhang*, and Xin Huang, Classification of high-spatial resolution imagery based on distance-weighted Markov random field with an improved iterated conditional mode method, International Journal of Remote Sensing, vol.32, pp.9843-9868, 2011.
张倩, 黄昕, 张良培*, 多尺度同质区域提取的高分辨率遥感影像分类研究, 武汉大学学报(信息科学版), 36(1): 117-121, 2011.
AI药物设计
Y. Qian, M. Shi, and Q. Zhang*, CONSMI: Contrastive Learning in the Simplified Molecular Input Line Entry System Helps Generate Better Molecules, Molecules, vol. 29, no. 2, p. 495, 2024.
Y. Qian, X. Li, J. Wu, and Q. Zhang*, MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug–target interaction, BMC bioinformatics, vol. 24, no. 1, p. 323, 2023.
L. Dou, Z. Zhang, Y. Qian, and Q. Zhang*, BCM-DTI: A fragment-oriented method for drug–target interaction prediction using deep learning, Computational Biology and Chemistry, vol. 104, p. 107844, 2023.
Y. Qian, X. Li, J. Wu, A. Zhou, Z. Xu, and Q. Zhang*, Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds, Journal of Computational Chemistry, vol. 43, no. 4, pp. 255-264, 2022. （封面论文）
Y. Qian, J. Wu, and Q. Zhang*, CAT-CPI: Combining CNN and transformer to learn compound image features for predicting compound-protein interactions, (in English), Frontiers in Molecular Biosciences, Original Research vol. 9, 2022-September-15 2022, doi: 10.3389/fmolb.2022.963912.
Y. Qian, X. Li, Q. Zhang*, and J. Zhang*, SPP-CPI: Predicting Compound–Protein Interactions Based On Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 19, pp. 40-47, 2022.
Z. Xu, Q. Zhang, J. Shi, and W. Zhu, Underestimated Noncovalent Interactions in Protein Data Bank, Journal of chemical information and modeling, vol. 59, no. 8, pp:3389-3399,2019.
Qian Zhang, Zhijian Xu*, Jiye Shi, and Weiliang Zhu*, Underestimated Halogen Bonds Forming with Protein Backbone in Protein Data Bank, Journal of Chemical Information and Modeling, vol.57, no. 7, pp.1529-1534, 2017.（Top期刊）
Qian Zhang, Zhijian Xu*, and Weiliang Zhu*, The Underestimated Halogen Bonds Forming with Protein Side Chains in Drug Discovery and Design, Journal of Chemical Information and Modeling, vol.57, no.1, pp.22-26, 2017.（Top期刊）
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