Research output per year
Research output per year
Personal profile
Personal profile
Zhang Mengmeng
Associate Research Fellow
Date of birth: June 1994
Office Tel: 010-68918217
E-mail: mengmengzhang@bit.edu.cn
2022.03 till now: School of Information and Electronics, Beijing Institute of Technology
2020.01-2022.03: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.10-2019.10: PhD in Computer Engineering at University of South Carolina (br) Sep., 2014 - Dec., 2019: PhD in Control Science and Engineering, Beijing University of Chemical Technology
Associate Research Fellow
Date of birth: June 1994
Office Tel: 010-68918217
E-mail: mengmengzhang@bit.edu.cn
2022.03 till now: School of Information and Electronics, Beijing Institute of Technology
2020.01-2022.03: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.10-2019.10: PhD in Computer Engineering at University of South Carolina (br) Sep., 2014 - Dec., 2019: PhD in Control Science and Engineering, Beijing University of Chemical Technology
Research Interests
Multi-source Remote sensing image processing
Education
2022.03 till now: School of Information and Electronics, Beijing Institute of Technology
2020.01-2022.03: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.10-2019.10: PhD in Computer Engineering at University of South Carolina (br) Sep., 2014 - Dec., 2019: PhD in Control Science and Engineering, Beijing University of Chemical Technology
Professional Experience
2022.03 till now: School of Information and Electronics, Beijing Institute of Technology
2020.01-2022.03: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.10-2019.10: PhD in Computer Engineering at University of South Carolina (br) Sep., 2014 - Dec., 2019: PhD in Control Science and Engineering, Beijing University of Chemical Technology
Research Achievement
He has been engaged in deep learning based remote sensing image processing and interpretation research for a long time, and the multi-source remote sensing joint monitoring model developed can greatly improve the interpretation efficiency of ground objects in complex scenes. He has presided over the post-doctoral Innovative Talent Support Program project, the National Natural Science Foundation Youth Fund, and the post-doctoral level project, and participated in a number of national or provincial or ministerial projects such as the sub-project of the National Key Research and Development Plan and Beijing Jieqing. He has published over 40 academic papers in IEEE TCYB (IF>19), IEEE TIP (IF>11), IEEE TNNLS (IF>14) and other journals. Some representative works are as follows:
1. M. Zhang, W. Li, and Q. Du, “Diverse Region-Based CNN for Hyperspectral Image Classification,” IEEE Transactions on Image Processing, vol. 27, no.6, pp.2623-2634, 2018. (
Excellent Innovation Achievements of 2020 Bo Xin Program
2021 Excellent Postdoctoral Fellow of Beijing Institute of Technology
2021 Surveying and Mapping Science and Technology Award Second Prize
Excellent Report of the 6th National Symposium on Imaging Spectral Earth Observation (Biannual)
2018 National High Level University Public Scholarship for Study Abroad
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Classification of Multisource Remote Sensing Images Using Multimodal Equilateral Absorption Network
Zhao, Y., Zhang, M., Gao, Y. & Li, W., 19 Jan 2024, ICIGP 2024 - Proceedings of the 2024 7th International Conference on Image and Graphics Processing. Association for Computing Machinery, p. 185-191 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Clusterformer for Pine Tree Disease Identification Based on UAV Remote Sensing Image Segmentation
Liu, H., Li, W., Jia, W., Sun, H., Zhang, M., Song, L. & Gui, Y., 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, p. 1-15 15 p., 5609215.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
Contrastive Adaptive Segmentation Method for Spartina Alterniflora Based on Intermediate Domain Prototypes
Zhao, B., Li, Z., Jiang, X., Zhang, M., Li, W., Zhang, Y. & Song, X., 19 Jan 2024, ICIGP 2024 - Proceedings of the 2024 7th International Conference on Image and Graphics Processing. Association for Computing Machinery, p. 85-91 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Cross-Scene Joint Classification of Multisource Data with Multilevel Domain Adaption Network
Zhang, M., Zhao, X., Li, W., Zhang, Y., Tao, R. & Du, Q., 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 8, p. 11514-11526 13 p.Research output: Contribution to journal › Article › peer-review
63 Citations (Scopus) -
Feature Mixture Generative Adversarial Network for Data Augmentation on Small Sample Hyperspectral Data
Li, Y., Zhang, M., Xie, X., Gao, Y. & Li, W., 19 Jan 2024, ICIGP 2024 - Proceedings of the 2024 7th International Conference on Image and Graphics Processing. Association for Computing Machinery, p. 316-321 6 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review