Miao Zhang - RankMe

14 papers A* 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration. CoRR Dongkyu Cho, Miao Zhang, Rumi Chunara
2025	J	`jnl`	Quantifying Greenspace with Satellite Images in Karachi, Pakistan, Using a New Data Augmentation Paradigm. ACM J. Comput. Sustain. Soc. Miao Zhang, Hajra Arshad, Manzar Abbas, Hamzah Jehanzeb, Izza Tahir, Javerya Hassan, Zainab Samad, Rumi Chunara
2024	A*	`conf`	FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. CVPR Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu
2024	J	`jnl`	Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara
2024	J	`jnl`	Leveraging CLIP for Inferring Sensitive Information and Improving Model Fairness. CoRR Miao Zhang, Rumi Chunara
2024	—	`conf`	Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery. AIES (1) Miao Zhang, Rumi Chunara
2022	J	`jnl`	Fair contrastive pre-training for geographic images. CoRR Miao Zhang, Rumi Chunara
2022	—	`conf`	Segmenting across places: The need for fair transfer learning with satellite imagery. CVPR Workshops Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara
2022	J	`jnl`	Segmenting across places: The need for fair transfer learning with satellite imagery. CoRR Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara
2022	J	`jnl`	SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J. Biomed. Health Informatics Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2021	J	`jnl`	Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin
2021	J	`jnl`	SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. CoRR Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2020	—	`conf`	Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 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
2020	J	`jnl`	Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR 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