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ORCIDMiao Zhang 0030
Person information
Other persons with the same name
- Miao Zhang — disambiguation page
- Miao Zhang 0001
![[0000-0001-9428-0573]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9428-0573")
— Harbin Institute of Technology, Department of Control Science and Engineering, China - Miao Zhang 0002 — Institute of Remote Sensing and Digital Earth, Division of Digital Agriculture, Beijing, China (and 1 more)
- Miao Zhang 0003 — Simon Fraser University, BC, Canada (and 1 more)
- Miao Zhang 0004 — Dalian University of Technology, School of Information Science and Engineering, Dalian, China (and 1 more)
- Miao Zhang 0005 — University of Windsor, Ontario, Canada
- Miao Zhang 0006 — Karlsruhe University, Germany
- Miao Zhang 0007
- Miao Zhang 0008
- Miao Zhang 0009
- Miao Zhang 0010
- Miao Zhang 0011
- Miao Zhang 0012
- Miao Zhang 0013
- Miao Zhang 0014
- Miao Zhang 0015
- Miao Zhang 0016
- Miao Zhang 0017
- Miao Zhang 0018
- Miao Zhang 0019
- Miao Zhang 0020
- Miao Zhang 0021
- Miao Zhang 0022
- Miao Zhang 0023
- Miao Zhang 0024
- Miao Zhang 0025
- Miao Zhang 0026
- Miao Zhang 0027
- Miao Zhang 0028
- Miao Zhang 0029
- Miao Zhang 0031
- Miao Zhang 0032
- Miao Zhang 0033
- Miao Zhang 0034
- Miao Zhang 0035
- Miao Zhang 0036
- Miao Zhang 0037
- Miao Zhang 0038
- Miao Zhang 0039
- Miao Zhang 0040
- Miao Zhang 0041
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Journal Articles
- 2025
[j2]Miao Zhang, Hajra Arshad, Manzar Abbas, Hamzah Jehanzeb, Izza Tahir, Javerya Hassan, Zainab Samad, Rumi Chunara:
Quantifying Greenspace with Satellite Images in Karachi, Pakistan, Using a New Data Augmentation Paradigm. ACM J. Comput. Sustain. Soc. 3(1): 1-23 (2025)- 2022
- [j1]Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin:
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J. Biomed. Health Informatics 26(9): 4635-4644 (2022)
Conference and Workshop Papers
- 2024
- [c4]Miao Zhang, Rumi Chunara:
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery. AIES (1) 2024: 1723-1734 - [c3]Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu:
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. CVPR 2024: 12098-12108 - 2022
- [c2]Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara:
Segmenting across places: The need for fair transfer learning with satellite imagery. CVPR Workshops 2022: 2915-2924 - 2020
- [c1]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191
Informal and Other Publications
- 2024
- [i7]Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara:
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR abs/2402.06059 (2024) - [i6]Miao Zhang, Rumi Chunara:
Leveraging CLIP for Inferring Sensitive Information and Improving Model Fairness. CoRR abs/2403.10624 (2024) - 2022
- [i5]Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara:
Segmenting across places: The need for fair transfer learning with satellite imagery. CoRR abs/2204.04358 (2022) - [i4]Miao Zhang, Rumi Chunara:
Fair contrastive pre-training for geographic images. CoRR abs/2211.08672 (2022) - 2021
- [i3]Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin:
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR abs/2106.13208 (2021) - [i2]Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin:
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. CoRR abs/2107.02375 (2021) - 2020
- [i1]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR abs/2009.01871 (2020)
Coauthor Index
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