Yuzhe Yang - RankMe

49 papers A* 10A 1B 2Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Encoder-Free ECG-Language Models. CoRR William Han, Tony Chen, Chaojing Duan, Xiaoyu Song, Yihang Yao, Yuzhe Yang, Michael A. Rosenberg, Emerson Liu, Ding Zhao
2026	J	`jnl`	HEARTS: Benchmarking LLM Reasoning on Health Time Series. CoRR Sirui Li, Shuhan Xiao, Mihir Joshi, Ahmed Metwally, Daniel McDuff, Wei Wang, Yuzhe Yang
2026	J	`jnl`	Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification. CoRR Hexin Dong, Yi Lin, Pengyu Zhou, Fengnian Zhao, Alan Clint Legasto, Mingquan Lin, Hao Chen, Yuzhe Yang, George Shih, Yifan Peng
2025	J	`jnl`	LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff
2025	J	`jnl`	Passive Heart Rate Monitoring During Smartphone Use in Everyday Life. CoRR Shun Liao, Paolo Di Achille, Jiang Wu, Silviu Borac, Jonathan Wang, Xin Liu, Eric Teasley, Lawrence Cai, Yuzhe Yang, Yun Liu, Daniel McDuff, Hao-Wei Su, Brent Winslow, Anupam Pathak, Shwetak N. Patel, James A. Taylor, Jameson K. Rogers, Ming-Zher Poh
2025	J	`jnl`	RADAR: Benchmarking Language Models on Imperfect Tabular Data. CoRR Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
2025	A*	`conf`	Scaling Wearable Foundation Models. ICLR Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2025	J	`jnl`	SensorLM: Learning the Language of Wearable Sensors. CoRR Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
2025	J	`jnl`	The Anatomy of a Personal Health Agent. CoRR A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu
2025	J	`jnl`	Towards a Science of Scaling Agent Systems. CoRR Yubin Kim, Ken Gu, Chanwoo Park, Chunjong Park, Samuel Schmidgall, A. Ali Heydari, Yao Yan, Zhihan Zhang, Yuchen Zhuang, Mark Malhotra, Paul Pu Liang, Hae Won Park, Yuzhe Yang, Xuhai Xu, Yilun Du, Shwetak N. Patel, Tim Althoff, Daniel McDuff, Xin Liu
2024	A	`conf`	BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. WACV Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel
2024	J	`jnl`	Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging. CoRR Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward Jay Wang, Dushyant W. Sahani, Shwetak N. Patel
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2024	J	`jnl`	Scaling Wearable Foundation Models. CoRR Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2024	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2023	J	`jnl`	BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. CoRR Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel
2023	A*	`conf`	Change is Hard: A Closer Look at Subpopulation Shift. ICML Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi
2023	J	`jnl`	Change is Hard: A Closer Look at Subpopulation Shift. CoRR Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023	A*	`conf`	Rank-N-Contrast: Learning Continuous Representations for Regression. NeurIPS Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi
2023	A*	`conf`	SimPer: Simple Self-Supervised Learning of Periodic Targets. ICLR Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff
2023	J	`jnl`	The Limits of Fair Medical Imaging AI In The Wild. CoRR Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2023	J	`jnl`	Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data. CoRR Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak N. Patel, Daniel McDuff, Yuzhe Yang, Xin Liu
2022	J	`jnl`	Domain Adaptation with Factorizable Joint Shift. CoRR Hao He, Yuzhe Yang, Hao Wang
2022	J	`jnl`	On Multi-Domain Long-Tailed Recognition, Generalization and Beyond. CoRR Yuzhe Yang, Hao Wang, Dina Katabi
2022	—	`conf`	On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond. ECCV (20) Yuzhe Yang, Hao Wang, Dina Katabi
2022	J	`jnl`	SimPer: Simple Self-Supervised Learning of Periodic Targets. CoRR Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff
2022	J	`jnl`	Supervised Contrastive Regression. CoRR Kaiwen Zha, Peng Cao, Yuzhe Yang, Dina Katabi
2022	A*	`conf`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2021	A*	`conf`	Delving into Deep Imbalanced Regression. ICML Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi
2021	J	`jnl`	Delving into Deep Imbalanced Regression. CoRR Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi
2021	J	`jnl`	Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi
2020	J	`jnl`	BodyCompass: Monitoring Sleep Posture with Wireless Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shichao Yue, Yuzhe Yang, Hao Wang, Hariharan Rahul, Dina Katabi
2020	A*	`conf`	Harnessing Structures for Value-Based Planning and Reinforcement Learning. ICLR Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2020	A*	`conf`	When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. CVPR Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin
2019	J	`jnl`	Harnessing Structures for Value-Based Planning and Reinforcement Learning. CoRR Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2019	A*	`conf`	ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. INFOCOM Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song
2019	J	`jnl`	ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. CoRR Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song
2019	A*	`conf`	ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. ICML Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi
2019	J	`jnl`	ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. CoRR Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu
2019	J	`jnl`	UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation. IEEE Netw. Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song
2019	J	`jnl`	When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. CoRR Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu
2018	—	`conf`	AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN. INFOCOM Workshops Yuzhe Yang, Zixuan Bai, Zhiwen Hu, Zijie Zheng, Kaigui Bian, Lingyang Song
2018	B	`conf`	Optimal Trajectory Planning of Drones for 3D Mobile Sensing. GLOBECOM Pengyu Zhao, Yuzhe Yang, Yuanxing Zhang, Kaigui Bian, Lingyang Song, Pengpeng Qiao, Zhetao Li
2018	J	`jnl`	Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing. IEEE Internet Things J. Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han
2018	—	`conf`	Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning. ICC Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han
2018	J	`jnl`	UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies and Implementation. CoRR Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song
2017	B	`conf`	Arms: A Fine-Grained 3D AQI Realtime Monitoring System by UAV. GLOBECOM Yuzhe Yang, Zijie Zheng, Kaigui Bian, Yun Jiang, Lingyang Song, Zhu Han