IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, IEEE Geoscience and Remote Sensing Letters, International Journal of Remote Sensing, Photogrammetric Engineering & Remote Sensing等期刊审稿人
个人资料
教育经历2007.09-2012.06，武汉大学，测绘遥感信息工程国家重点实验室，博士，导师：张良培教授。 2003.09-2007.07，青岛理工大学，土地资源管理，学士。 工作经历2018.01-今 华东师范大学 计算机科学与技术学院 副研究员 2012.07-2017.12 华东师范大学 计算机科学与技术学院 讲师 个人简介张倩，博士，副研究员，硕士生导师。 主要从事机器学习和人工智能等研究工作，以及在计算机视觉和AI药物设计等领域的应用研究。 主持1国家自然基金，1项上海市面上基金；参与面上、973项目等多项重大项目。 主要承担《数字图像处理》、《计算机视觉》等相关的课程。 社会兼职研究方向人工智能 计算机视觉 AI药物设计 招生与培养 姓 名, 入 学， 毕业去向
开授课程《数字图像处理》 《计算机视觉》 科研项目上海市自然科学基金，基于几何特征的高分遥感人工地物深度语义学习方法研究，主持，在研。 上海市教育委员会教学研究室，教育数据库跨库查询和基于机器学习的数据挖掘技术咨询服务协议，主持，已结题。 国家自然科学基金青年项目，自适应全变分模型的高分辨率遥感影像房屋提取及后处理方法研究，主持，已结题。 武汉大学地理空间信息与数字技术国家测绘地理信息局工程技术研究中心开放基金，高分遥感影像城区提取和城市形态分析，主持，已结题。 华东师范大学科研创新基金，高分辨率遥感面向对象房屋提取及形状规则化方法研究，主持，已结题。 华东师范大学后备人才科研启动经费，主持，已结题。 上海市分子智造前沿科学研究基地，参与，在研。 科技部973计划项目课题，多源异质数据的信息提取与快速变化检测，参与，已结题。 学术成果发表论文 1、计算机视觉 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. 2、AI药物设计 Y. Qian, X. Li, J. Wu, and Q. Zhang*, MMCL-CPI: A multi-modal compound-protein interaction prediction model incorporating contrastive learning pre-training, Computational Biology and Chemistry, vol. 112, p. 108137, 2024. 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. Shi, Y., C. Li, X. Zhang, C. Peng, P. Sun, Q. Zhang, L. Wu, Y. Ding*, D. Xie*, Z. Xu* and W. Zhu*, D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval for EGFR mutation-driven lung cancer, Briefings in Bioinformatics, vol. 25, no. 3, 2024. (Top期刊) 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, Frontiers in Molecular Biosciences, Original Research vol. 9, 2022. 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) 荣誉及奖励 |