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Miao Zhang 0030
Person information
- affiliation: New York University, NY, USA
Other persons with the same name
- Miao Zhang — disambiguation page
- Miao Zhang 0001
— 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
— Stanford University, CA, USA - Miao Zhang 0008
— Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China - Miao Zhang 0009
— Tianjin University of Science and Technology, College of Electronic Information and Automation, China (and 1 more)
- Miao Zhang 0010
— Tsinghua University, Shenzhen International Graduate School, China (and 1 more) - Miao Zhang 0011
— Beijing University of Posts and Telecommunications, School of Cybersecurity, National Engineering Research Center of DBR, Beijing, China (and 1 more) - Miao Zhang 0012
— Shanghai University of Finance and Economics, School of Information Management and Engineering, China - Miao Zhang 0013
— Xi'an Jiaotong University, School of Software Engineering, China - Miao Zhang 0014
— Chinese PLA General Hospital, Chinese PLA Medical School, Senior Department of Otolaryngology Head and Neck Surgery, Beijing, China - Miao Zhang 0015
— Tianjin University of Science and Technology, College of Electronic Information and Automation, China - Miao Zhang 0016
— State Grid Beijing Electric Power Company, Electric Power Research Institute, Beijing, China - Miao Zhang 0017
— Xiamen University, School of Electronic Science and Engineering, China (and 1 more) - Miao Zhang 0018
— Chongqing Jiaotong University, School of Information Science and Engineering, China (and 1 more) - Miao Zhang 0019
— Zhejiang University of Technology, School of Education Science and Technology, Hangzhou, China - Miao Zhang 0020
— Tianjin University, Department of Information Management and Management Science, China - Miao Zhang 0021
— Louisiana State University, Department of Mathematics, Baton Rouge, LA, USA - Miao Zhang 0022
— Harbin Institute of Technology (Shenzhen), China (and 1 more) - Miao Zhang 0023
— Inner Mongolia University, School of Mathematical Sciences, Hohhot, China - Miao Zhang 0024
— Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, China - Miao Zhang 0025
— City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more) - Miao Zhang 0026
— Tongji University, College of Electronic and Information Engineering, Shanghai, China - Miao Zhang 0027
— Delft University of Technology, Department of Microelectronics, The Netherlands - Miao Zhang 0028
— Jilin University, School of Artificial Intelligence, Changchun, China - Miao Zhang 0029
— Hebei Finance University, School of Insurance and Pubic Finance, Baoding, China - Miao Zhang 0031
— Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more) - Miao Zhang 0032
— Nanyang Normal University, Engineering Research Center of Environmental Laser Remote Sensing Technology and Application of Henan Province, China - Miao Zhang 0033
— Wuhan University, School of Electronic Information, China - Miao Zhang 0034
— Quanzhou University of Information Engineering, China - Miao Zhang 0035
— Harbin Institute of Technology, Faculty of Computing, School of Computer Science and Technology, China - Miao Zhang 0036
— Hubei University, School of Computer Science, Wuhan, China (and 1 more) - Miao Zhang 0037
— National University of Defense Technology, Changsha, China - Miao Zhang 0038
— Shanghai Jiao Tong University School of Medicine, Ruijin Hospital, Department of Nuclear Medicine, China - Miao Zhang 0039
— South China Normal University, Institute of Semiconductor Science and Technology, Guangzhou, China - Miao Zhang 0040
— Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 1 more) - Miao Zhang 0041
— Xi'an Jiaotong University, School of Information and Communications Engineering, Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, China - Miao Zhang 0042
— China Academy of Railway Sciences Corporation Ltd., Beijing, China - Miao Zhang 0043
— Robert Bosch GmbH, Germany
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2020 – today
- 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)
[i8]Dongkyu Cho, Miao Zhang, Rumi Chunara:
Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration. CoRR abs/2509.21530 (2025)- 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
[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
[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)
[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
[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
[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
[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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last updated on 2026-01-30 00:39 CET by the dblp team
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