Arms: A Fine-Grained 3D AQI Realtime Monitoring System by UAV. - Yuzhe Yang 003; Zijie Zheng; Kaigui Bian; Yun Jiang; Lingyang Song; Zhu Han 001 (GLOBECOM, 2017)

Optimal Trajectory Planning of Drones for 3D Mobile Sensing. - Pengyu Zhao; Yuzhe Yang 003; Yuanxing Zhang; Kaigui Bian; Lingyang Song; Pengpeng Qiao; Zhetao Li (GLOBECOM, 2018)

Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning. - Yuzhe Yang 003; Zijie Zheng; Kaigui Bian; Lingyang Song; Zhu Han 001 (ICC, 2018)

AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN. - Yuzhe Yang 003; Zixuan Bai; Zhiwen Hu; Zijie Zheng; Kaigui Bian; Lingyang Song (INFOCOM Workshops, 2018)

Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing. - Yuzhe Yang 003; Zijie Zheng; Kaigui Bian; Lingyang Song; Zhu Han 001 (IEEE Internet Things J., 2018)

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. - Yuzhe Yang 003; Guo Zhang 006; Zhi Xu 001; Dina Katabi (ICML, 2019)

ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. - Yuzhe Yang 003; Zhiwen Hu; Kaigui Bian; Lingyang Song (INFOCOM, 2019)

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. - Minghao Guo; Yuzhe Yang 003; Rui Xu 014; Ziwei Liu 002 (CoRR, 2019)

UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation. - Zhiwen Hu; Zixuan Bai; Yuzhe Yang 003; Zijie Zheng; Kaigui Bian; Lingyang Song (IEEE Netw., 2019)

When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. - Minghao Guo; Yuzhe Yang 003; Rui Xu 014; Ziwei Liu 002; Dahua Lin (CVPR, 2020)

Harnessing Structures for Value-Based Planning and Reinforcement Learning. - Yuzhe Yang 003; Guo Zhang 006; Zhi Xu 001; Dina Katabi (ICLR, 2020)

BodyCompass: Monitoring Sleep Posture with Wireless Signals. - Shichao Yue; Yuzhe Yang 003; Hao Wang 014; Hariharan Rahul; Dina Katabi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Delving into Deep Imbalanced Regression. - Yuzhe Yang 003; Kaiwen Zha; Ying-Cong Chen; Hao Wang 014; Dina Katabi (ICML, 2021)

Targeted Supervised Contrastive Learning for Long-Tailed Recognition. - Tianhong Li; Peng Cao; Yuan Yuan 002; Lijie Fan; Yuzhe Yang 003; Rogério Feris; Piotr Indyk; Dina Katabi (CVPR, 2022)

On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond. - Yuzhe Yang 003; Hao Wang 014; Dina Katabi (ECCV (20), 2022)

Domain Adaptation with Factorizable Joint Shift. - Hao He 011; Yuzhe Yang 003; Hao Wang 014 (CoRR, 2022)

On Multi-Domain Long-Tailed Recognition, Generalization and Beyond. - Yuzhe Yang 003; Hao Wang 014; Dina Katabi (CoRR, 2022)

Supervised Contrastive Regression. - Kaiwen Zha; Peng Cao; Yuzhe Yang 003; Dina Katabi (CoRR, 2022)

SimPer: Simple Self-Supervised Learning of Periodic Targets. - Yuzhe Yang 003; Xin Liu 034; Jiang Wu; Silviu Borac; Dina Katabi; Ming-Zher Poh; Daniel McDuff (ICLR, 2023)

Change is Hard: A Closer Look at Subpopulation Shift. - Yuzhe Yang 003; Haoran Zhang 003; Dina Katabi; Marzyeh Ghassemi (ICML, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Rank-N-Contrast: Learning Continuous Representations for Regression. - Kaiwen Zha; Peng Cao; Jeany Son; Yuzhe Yang 003; Dina Katabi (NeurIPS, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data. - Yuxuan Ou; Yuzhe Zhang; Yuntang Wang; Shwetak N. Patel; Daniel McDuff; Yuzhe Yang 003; Xin Liu 034 (CoRR, 2023)

The Limits of Fair Medical Imaging AI In The Wild. - Yuzhe Yang 003; Haoran Zhang 003; Judy W. Gichoya; Dina Katabi; Marzyeh Ghassemi (CoRR, 2023)

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. - Girish Narayanswamy; Yujia Liu; Yuzhe Yang 003; Chengqian Ma; Xin Liu 034; Daniel McDuff; Shwetak N. Patel (WACV, 2024)

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging. - Yuzhe Yang 003; Yujia Liu; Xin Liu 034; Avanti Gulhane; Domenico Mastrodicasa; Wei Wu; Edward Jay Wang; Dushyant W. Sahani; Shwetak N. Patel (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jake Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (CoRR, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jacob E. Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (ICLR, 2025)

Passive Heart Rate Monitoring During Smartphone Use in Everyday Life. - Shun Liao; Paolo Di Achille; Jiang Wu; Silviu Borac; Jonathan Wang; Xin Liu 034; Eric Teasley; Lawrence Cai; Yuzhe Yang 003; Yun Liu 013; Daniel McDuff; Hao-Wei Su; et al. (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)

RADAR: Benchmarking Language Models on Imperfect Tabular Data. - Ken Gu; Zhihan Zhang 002; Kate Lin; Yuwei Zhang; Akshay Paruchuri; Hong Yu 001; Mehran Kazemi; Kumar Ayush; A. Ali Heydari; Maxwell A. Xu; Girish Narayanswamy; Yun Liu 013; et al. (CoRR, 2025)

SensorLM: Learning the Language of Wearable Sensors. - 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 013; et al. (CoRR, 2025)