个人简介:

郑珏鹏,广东梅县人。2023年4月毕业于清华大学地球系统科学系,获理学博士学位。2019年7月毕业于同济大学测绘与地理信息学院,获工学学士学位。2023年4月加入中山大学人工智能学院,任“百人计划”助理教授。主持国家自然科学基金青年基金、科技部重点研发计划子课题以及华为等企业横向项目多项。目前以第一/通讯作者身份发表SCI期刊和CCF会议论文18篇,其中中科院一区论文12篇,CCF-A类会议1篇,其中2篇为ESI高被引论文。曾获2022年中国超算最佳应用提名奖(序1),2023年吴文俊人工智能科技进步二等奖(序8)等荣誉。

最新信息详见团队英文主页

 

 

研究方向:

(1)大规模智能遥感影像解译与分析

(2)深度学习与人工智能研究与应用

(3)面向新一代国产超级计算机应用

欢迎报考硕士研究生或有意本科科研实践的同学与我联系

邮箱:zhengjp8@mail.sysu.edu.cn

 

 

工作经历:

2024.02--至      今  国家超级计算深圳中心              双聘研究员

2023.04--至      今  中山大学  人工智能学院            助理教授

2014.09--2016.08  武警湖北省总队机动支队

 

 

教育经历:

2019.09--2023.04  清华大学  地球系统科学系         理学博士

2013.09--2019.07  同济大学  测绘与地理信息学院  工学学士

 

 

科研项目:

国家自然科学基金青年基金,2025-2027,主持

科技部重点研发计划子课题,2024-2026,主持

华为企业横向课题,2024-2025,主持

上海城建企业横向课题,2024-2025,主持

燕山石化企业横向课题,2023-2024,主持
 

 

代表性论文:

(#共同一作,*通讯作者,†所带学生)

近5年发表的一作/通讯SCI期刊论文:

[15] Zheng, J.#, Yuan, S.#, Li, W.*, Fu, H.*, Yu, L., Huang, J. (2024). A review of individual tree crown detection and delineation from optical remote sensing images. IEEE Geoscience and Remote Sensing Magazine, Early Access.(中科院一区期刊)

[14] Li, Q., Wen, Y.†, Zheng, J.*, Zhang, Y., & Fu, H. (2024). HyUniDA: Breaking Label Set Constraints for Universal Domain Adaptation in Cross-Scene Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15.(中科院一区期刊)

[13] Yuan, S., Zhang, L., Dong, R., Xiong, J., Zheng, J.*, Fu, H.*, & Gong, P. (2024). Relational Part-Aware Learning for Complex Composite Object Detection in High-Resolution Remote Sensing Images. IEEE Transactions on Cybernetics, 54(10), 6118-6131.(中科院一区期刊)

[12] Guo, J., Zheng, J.*, Xu, Y., Fu, H., Xue, W., Wang, L., Gan, L., Gao, P.*, Wan, W., Wu, X., Zhang, Z., Hu, L.*, Xu, G. & Che, X.* (2024). LB-SCAM: A learning-based method for efficient large-scale sensitivity analysis and tuning of single column atmosphere model (SCAM). Geoscientific Model Development, 17(9), 3975-3992.

[11] Guo, J., Lai, Y.†, Zhang, J., Zheng, J.*, Fu, H., Gan, L., Hu, L., Xu, G., & Che, X. (2024). C3DA: A Universal Domain Adaptation Method for Scene Classification From Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 21, 1-5.

[10] Li, W., Hu, Z., Meng, L., Wang, J., Zheng, J.*, Dong, R., He, C., Xia, G., Fu, H.*, & Lin, D. (2024) Weakly-supervised 3D Building Reconstruction from Monocular Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15.(中科院一区期刊)

[9] Zheng, J., Wen, Y.†, Chen, M., Yuan, S., Li, W.*, Zhao, Y., Wu, W., Zhang, L., Dong, R., & Fu H.* (2024) Open-set domain adaptation for scene classification using multi-adversarial learning. ISPRS Journal of Photogrammetry and Remote Sensing, 208, 245-260.(中科院一区期刊)

[8] Li, Q., Zheng, J.*, Yuan, S., Zhang, L., Dong, R., & Fu, H.*. (2023). RAV model: Study on urban refined climate environment assessment and ventilation corridors construction. Building and Environment 248, 111080.(中科院一区期刊)

[7] Li, W., Zhao, W., Zheng, J.*, Yu, J., He, C., Fu, H.*, & Lin, D. (2023). Joint Semantic-Geometric Learning for Polygonal Building Segmentation from High-Resolution Remote Sensing Images. ISPRS Journal of Photogrammetry and Remote Sensing, 201, 26-37.(中科院一区期刊)

[6] Zheng, J., Yuan, S., Wu, W., Li, W., Yu, L.*, Fu, H.*, & Coomes, D. (2023). Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean. Remote Sensing of Environment, 287, 113485.(中科院一区期刊,ESI高被引论文)

[5] Zheng, J., Zhao, Y., Wu, W., Chen, M., Li, W.*, & Fu, H.* (2022). Partial Domain Adaptation for Scene Classification from Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17.(中科院一区期刊)

[4] Zheng, J., Wu, W., Yuan, S., Zhao, Y., Li, W., Zhang, L., Dong, R., & Fu, H.* (2021). A two-stage adaptation network (TSAN) for remote sensing scene classification in single-source-mixed-multiple-target domain adaptation (S²M²T DA) scenarios. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-13.(中科院一区期刊)

[3] Zheng, J.#, Wu, W.#, Yuan, S., Fu, H.*, Li, W., & Yu, L. (2021). Multisource-domain generalization-based oil palm tree detection using very-high-resolution (vhr) satellite images. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.

[2] Zheng, J., Fu, H., Li, W.*, Wu, W., Yu, L., Yuan, S., Tao, W.Y.W, Pang, T.K., & Kanniah, K. D. (2021). Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images. ISPRS Journal of Photogrammetry and Remote Sensing, 173, 95-121.(中科院一区期刊,ESI高被引论文)

[1] Zheng, J., Fu, H., Li, W.*, Wu, W., Zhao, Y., Dong, R., & Yu, L. (2020). Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 154-177.(中科院一区期刊)

近5年发表的一作/通讯CCF会议论文:

[3] Yuan, S., Lin, G.†, Zhang, L., Dong, R., Zhang, J., Chen, S., Zheng, J.*, Wang, J., & Fu, H.* (2024). FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding. NeurIPS 2024, Accepted.

[2] Zhao, Y.#, Zheng, J.#, Fu, H.*, Wu, W., Gao, J., Chen, M., Zhang, J., Zhang, L., Dong, R., Du, Z., Liu, S., Liu, X., Zhang, S., & Yu, L. (2023, May). SW-LCM: a scalable and weakly-supervised land cover mapping method on a new Sunway supercomputer. In 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (pp. 657-667). IEEE.

[1] Zheng, J., Wu, W., Zhao, Y., & Fu, H.* (2021, September). Transresnet: Transferable Resnet For Domain Adaptation. In 2021 IEEE international conference on image processing (ICIP) (pp. 764-768). IEEE.

 

学术服务:

担任Remote Sensing、Forest等SCI期刊客座编辑

担任ISPRS P&RS、IEEE TGRS、CEA、IJDE、IJRS等20余个SCI期刊审稿人
 

 

获奖情况:

中山大学第十二届教师教学竞赛二等奖,2024年

吴文俊人工智能科技进步二等奖(排名第8),2023年

北京市优秀毕业生,2023年

中国超算最佳应用提名奖(排名第1),2022年

清华大学“未来学者”奖学金,2019年

上海市优秀毕业生,2019年

同济大学“五四”青年奖章,2019年

同济大学“追求卓越”学生奖,2019年

优秀义务兵,2015/2016年