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ORCIDYuzhe Yang 0003
Person information
- affiliation: University of California at Los Angeles, CA, USA
- affiliation (PhD 2024): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Yuzhe Yang — disambiguation page
- Yuzhe Yang 0001
![[0000-0001-9098-2105]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9098-2105")
— OPPO Research Institute, Shanghai, China - Yuzhe Yang 0002 — The Chinese University of Hong Kong, Shenzhen, China
- Yuzhe Yang 0004 — Xi'an Jiaotong University, Xi'an, China
- Yuzhe Yang 0005 — University of California, Los Angeles, CA, USA
- Yuzhe Yang 0006 — Nesa Research
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2020 – today
- 2025
[c17]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:
Scaling Wearable Foundation Models. ICLR 2025- [i24]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:
Passive Heart Rate Monitoring During Smartphone Use in Everyday Life. CoRR abs/2503.03783 (2025) - [i23]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:
LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR abs/2506.05321 (2025) - [i22]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:
RADAR: Benchmarking Language Models on Imperfect Tabular Data. CoRR abs/2506.08249 (2025) - [i21]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:
SensorLM: Learning the Language of Wearable Sensors. CoRR abs/2506.09108 (2025) - [i20]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:
The Anatomy of a Personal Health Agent. CoRR abs/2508.20148 (2025) - 2024
- [j4]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:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [c16]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. WACV 2024: 7899-7909 - [i19]Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward Jay Wang, Dushyant W. Sahani, Shwetak N. Patel:
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging. CoRR abs/2402.14815 (2024) - [i18]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:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i17]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:
Scaling Wearable Foundation Models. CoRR abs/2410.13638 (2024) - 2023
- [c15]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. ICLR 2023 - [c14]Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. ICML 2023: 39584-39622 - [c13]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:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [c12]Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi:
Rank-N-Contrast: Learning Continuous Representations for Regression. NeurIPS 2023 - [i16]Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. CoRR abs/2302.12254 (2023) - [i15]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. CoRR abs/2303.11573 (2023) - [i14]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:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i13]Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak N. Patel, Daniel McDuff, Yuzhe Yang, Xin Liu:
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data. CoRR abs/2311.05371 (2023) - [i12]Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi:
The Limits of Fair Medical Imaging AI In The Wild. CoRR abs/2312.10083 (2023) - 2022
- [c11]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR 2022: 6908-6918 - [c10]Yuzhe Yang, Hao Wang, Dina Katabi:
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond. ECCV (20) 2022: 57-75 - [i11]Hao He, Yuzhe Yang, Hao Wang:
Domain Adaptation with Factorizable Joint Shift. CoRR abs/2203.02902 (2022) - [i10]Yuzhe Yang, Hao Wang, Dina Katabi:
On Multi-Domain Long-Tailed Recognition, Generalization and Beyond. CoRR abs/2203.09513 (2022) - [i9]Kaiwen Zha, Peng Cao, Yuzhe Yang, Dina Katabi:
Supervised Contrastive Regression. CoRR abs/2210.01189 (2022) - [i8]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. CoRR abs/2210.03115 (2022) - 2021
- [c9]Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi:
Delving into Deep Imbalanced Regression. ICML 2021: 11842-11851 - [i7]Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi:
Delving into Deep Imbalanced Regression. CoRR abs/2102.09554 (2021) - [i6]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR abs/2111.13998 (2021) - 2020
- [j3]Shichao Yue, Yuzhe Yang, Hao Wang, Hariharan Rahul, Dina Katabi:
BodyCompass: Monitoring Sleep Posture with Wireless Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 66:1-66:25 (2020) - [c8]Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin:
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. CVPR 2020: 628-637 - [c7]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. ICLR 2020
2010 – 2019
- 2019
- [j2]Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song:
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation. IEEE Netw. 33(2): 14-22 (2019) - [c6]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. ICML 2019: 7025-7034 - [c5]Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song:
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. INFOCOM 2019: 1207-1215 - [i5]Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song:
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. CoRR abs/1905.11299 (2019) - [i4]Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. CoRR abs/1905.11971 (2019) - [i3]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. CoRR abs/1909.12255 (2019) - [i2]Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu:
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. CoRR abs/1911.10695 (2019) - 2018
- [j1]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han:
Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing. IEEE Internet Things J. 5(1): 186-198 (2018) - [c4]Pengyu Zhao, Yuzhe Yang, Yuanxing Zhang, Kaigui Bian, Lingyang Song, Pengpeng Qiao, Zhetao Li:
Optimal Trajectory Planning of Drones for 3D Mobile Sensing. GLOBECOM 2018: 1-6 - [c3]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han:
Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning. ICC 2018: 1-6 - [c2]Yuzhe Yang, Zixuan Bai, Zhiwen Hu, Zijie Zheng, Kaigui Bian, Lingyang Song:
AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN. INFOCOM Workshops 2018: 1-2 - [i1]Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song:
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies and Implementation. CoRR abs/1809.03746 (2018) - 2017
- [c1]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Yun Jiang, Lingyang Song, Zhu Han:
Arms: A Fine-Grained 3D AQI Realtime Monitoring System by UAV. GLOBECOM 2017: 1-6
Coauthor Index
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