Juepeng Zheng

Juepeng Zheng is from Meizhou, Guangdong Province, China. He received his B.S. degree from College of Surveying and Geo-Informatics, Tongji University. He is currently a PhD student in Department of Earth System Science, Tsinghua University, advised by Prof. Haohuan Fu. His research interests lie in remote sensing image understanding, high performance computing and agricultural mapping.

Email: zjp19@mails.tsinghua.edu.cn

Address: Room S814, Mengminwei Building, Tsinghua University, Beijing, China

Education & Work

2021.03-present National Supercomputing Center in Wuxi, Wuxi, China

2019.09-present Department of Earth System Science, Tsinghua University, Beijing, China

2014.09-2016.09 People's Armed Police, Wuhan, China

2013.09-2019.07 College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Preprint / Submission

(* Equal Contribution, # Corresponding Author)

[5] Zheng, J.*, Zhao, Y.*, Fu, H.#, Du, Z., Yu, L#, Wu, W., Gao, J., Wang, Z., Chen, M., Zhang, L., Dong, R., Liu, S., Liu, X.#, Zhang, S.#, 2022. An Unsupervised Method to Learn the Land Cover Map of China within an Hour.

[4] Zhao, Y.*, Zheng, J.*, Fu, H.#, Wu, W., Gao, J., Chen, M., Zhang, L., Dong, R., Yu, L., Liu, S., Liu, X., Zhang, S., 2022. SU-LCM: A Scalable and Unsupervised Land Cover Mapping Method on a New Sunway Supercomputer. (Accepted by IPDPS23)

[3] Zheng, J., Chen, M., Zhao, Y., Wu, W., and Fu, H.#, 2022. Open-Set Domain Adaptation for Scene Classification Using Multi-Adversarial Learning.

[2] Zheng, J., Yuan, S., Li, W., Fu, H.#, and Yu, L., 2022. A review of individual tree crown detection from optical remote sensing images.

[1] Zheng, J., Yuan, S., Wu, W., Yu, L.#, Fu, H., David, C., 2022. Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean.

Publication

(* Equal Contribution, # Corresponding Author)

Journal Papers

[12] 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 (Early Access). [Paper]

[11] Shao, C., Yang, K.#, Tang, W., He, Y., Jiang, Y., Lu, H., Fu, H. and Zheng, J. (2022). Convolutional neural network-based homogenization for constructing a long-term global surface solar radiation dataset. Renewable and Sustainable Energy Reviews, 112952. [Paper]

[10] Yu, L.#, Du, Z., Dong, R., Zheng, J., Tu, Y., Chen, X., Hao, P., Zhong, B., Peng, D., Zhao, J., Li, X., Yang, J., Fu, H., Yang, G., & Gong, P. (2022). FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping. GIScience & Remote Sensing, 59(1), 1026-1047. [Paper]

[9] Liu, X., Zheng, J., Yu, L.#, Hao, P., Chen, B., Xin, Q., Fu, H., & Gong, P. (2021). Annual dynamic dataset of global cropping intensity from 2001 to 2019. Scientific Data, 8(1), 1-9. [Paper] [Code]

[8] 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, pp.1-13. [Paper] [Code]

[7] Zheng, J.*, Wu, W.*, Yuan, S., Fu, H.#, Li, W., & Yu, L. (2021). Multi-Source-Domain Generalization based Oil Palm Tree Detection Using Very-High-Resolution (VHR) Satellite Images. IEEE Geoscience and Remote Sensing Letters, 19, pp.1-5. [Paper] [Code]

[6] Zheng, J., Fu, H., Li, W.#, Wu, W., Yu, L., Yuan, S., Tao, W.Y.W., Pang, T., & Kanniah, K. (2021). Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images. ISPRS Journal of Photogrammetry and Remote Sensing, 173, pp.95-121. (ESI Highly Cited Paper) [Paper] [Code]

[5] Zhang, L., Dong, R., Yuan, S., Li, W., Zheng, J., & Fu, H.# (2021). Making low-resolution satellite images reborn: a deep learning approach for super-resolution building extraction. Remote Sensing, 13(15), p.2872.

[4] 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, pp.154-177. [Paper] [Code]

[3] Dong, R., Li, W.#, Fu, H., Gan, L., Yu, L., Zheng, J., & Xia, M. (2020). Oil palm plantation mapping from high-resolution remote sensing images using deep learning. International Journal of Remote Sensing, 41(5), pp.2022-2046.

[2] Li, W.*, He, C.*, Fu, H.#, Zheng, J., Dong, R., Xia, M., Yu, L., & Luk, W. (2019). A real-time tree crown detection approach for large-scale remote sensing images on FPGAs. Remote Sensing, 11(9), 1025.

[1] Li, W., He, C., Fang, J., Zheng, J., Fu, H.#, & Yu, L. (2019). Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data. Remote Sensing, 11(4), 403.

Conference Papers

[11] Yuan, S., Zheng, J., Zhang, L., Dong, R., Xing, Y., She, Y., Fu, H. and Cheung, R.C.# (2022, July). Melting Glacier: A 37-Year (1984–2020) High-Resolution Glacier-Cover Record of MT. Kilimanjaro. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 3943-3946). IEEE.

[10] Zheng, J., Wu, W., Zhao, Y., Yuan, S., Dong, R., Zhang, L. and Fu, H.# (2022, July). A Parallel Approach for Oil Palm Tree Detection on a SW26010 Many-Core Processor. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 1548-1551). IEEE.

[9] Zheng, J., Wu, W., Yu, L. and Fu, H.# (2021, July). Coconut Trees Detection on the Tenarunga Using High-Resolution Satellite Images and Deep Learning. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 6512-6515). IEEE. [Paper]

[8] Zheng, J., Wu, W., Zhao, Y. and Fu, H.# (2021, September). Transresnet: Transferable Resnet For Domain Adaptation. In 2021 IEEE International Conference on Image Processing (ICIP) (pp. 764-768). IEEE. [Paper]

[7] Zheng, J., Wu, W., Fu, H.#, Li, W., Dong, R., Zhang, L. and Yuan, S. (2020, August). Unsupervised Mixed Multi-Target Domain Adaptation for Remote Sensing Images Classification. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 1381-1384). IEEE. [Paper]

[6] Wu, W., Zheng, J., Li, W., Fu, H.#, Yuan, S. and Yu, L. (2020, April). Domain adversarial neural network-based oil palm detection using high-resolution satellite images. In Automatic Target Recognition XXX (Vol. 11394, p. 1139406). International Society for Optics and Photonics.

[5] Yuan, S., Dong, R., Zheng, J., Wu, W., Zhang, L., Li, W. and Fu, H.# (2020, April). Long time-series analysis of urban development based on effective building extraction. In Geospatial Informatics X (Vol. 11398, p. 113980M). International Society for Optics and Photonics.

[4] Wu, W.*, Zheng, J.*, Fu, H.#, Li, W. and Yu, L. (2020, June). Cross-Regional Oil Palm Tree Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 248-257). [Paper] [Data] [Slide]

[3] Zheng, J., Li, W.#, Xia, M., Dong, R., Fu, H. and Yuan, S. (2019, July). Large-Scale Oil Palm Tree Detection from High-Resolution Remote Sensing Images Using Faster-RCNN. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 1422-1425). IEEE. [Paper] [Poster]

[2] Xia, M., Li, W.#, Fu, H., Yu, L., Dong, R. and Zheng, J. (2019, May). Fast and robust detection of oil palm trees using high-resolution remote sensing images. In Automatic Target Recognition XXIX (Vol. 10988, p. 109880C). International Society for Optics and Photonics.

[1] Dong, R., Li, W.#, Fu, H., Xia, M., Zheng, J. and Yu, L. (2019, May). Semantic segmentation based large-scale oil palm plantation detection using high-resolution satellite images. In Automatic Target Recognition XXIX (Vol. 10988, p. 109880D). International Society for Optics and Photonics.

Professional Experience

• Guest Editor of Remote Sensing Special Issue: Deep Learning in Remote Sensing Application

• Reviewer for the following journals:

Geocarto International

IEEE Transactions on Geoscience and Remote Sensing

International Journal of Remote Sensing

MDPI Journals (such as Agriculture, AgriEngineering, Agronomy, Applied Sciences, Conservation, Environments, Forest, ISPRS International Journal of Geo-Information, Mining, Remote Sensing, Sensors, Sustainability, Symmetry, and Telecom, etc)

Award

First Prize, Schlumberger Scholarship, Tsinghua University, 2022

National Scholarship, Ministry of Education, 2021

First Prize, Piest Scholarship, Tsinghua University, 2020

Future Researcher Scholarship, Tsinghua University, 2019

Excellent Undergraduate Student (3 out of all), Tongji University, 2019

National Scholarship, Ministry of Education, 2017

Outstanding Soldier, People's Armed Police, 2016

Outstanding Soldier, People's Armed Police, 2015