Yuzhe Yang

Orcid: 0000-0002-7634-8295

Affiliations:

University of California at Los Angeles, CA, USA
Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2024)

According to our database¹, Yuzhe Yang authored at least 35 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

SensorLM: Learning the Language of Wearable Sensors.

[BibT_eX]

[DOI]

CoRR, June, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

[BibT_eX]

[DOI]

CoRR, June, 2025

LSM-2: Learning from Incomplete Wearable Sensor Data.

[BibT_eX]

[DOI]

CoRR, June, 2025

Passive Heart Rate Monitoring During Smartphone Use in Everyday Life.

[BibT_eX]

[DOI]

CoRR, March, 2025

Scaling Wearable Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

Scaling Wearable Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

[BibT_eX]

[DOI]

CoRR, 2024

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging.

[BibT_eX]

[DOI]

Domenico Mastrodicasa

CoRR, 2024

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

The Limits of Fair Medical Imaging AI In The Wild.

[BibT_eX]

[DOI]

CoRR, 2023

Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data.

[BibT_eX]

[DOI]

CoRR, 2023

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

[BibT_eX]

[DOI]

CoRR, 2023

Rank-N-Contrast: Learning Continuous Representations for Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Machine Learning for Health (ML4H) 2023.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2023

Change is Hard: A Closer Look at Subpopulation Shift.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

SimPer: Simple Self-Supervised Learning of Periodic Targets.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Supervised Contrastive Regression.

[BibT_eX]

[DOI]

CoRR, 2022

On Multi-Domain Long-Tailed Recognition, Generalization and Beyond.

[BibT_eX]

[DOI]

Yuzhe Yang

Hao Wang

Dina Katabi

CoRR, 2022

Domain Adaptation with Factorizable Joint Shift.

[BibT_eX]

[DOI]

Hao He

Yuzhe Yang

Hao Wang

CoRR, 2022

On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond.

[BibT_eX]

[DOI]

Yuzhe Yang

Hao Wang

Dina Katabi

Proceedings of the Computer Vision - ECCV 2022, 2022

Targeted Supervised Contrastive Learning for Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Delving into Deep Imbalanced Regression.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

BodyCompass: Monitoring Sleep Posture with Wireless Signals.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Harnessing Structures for Value-Based Planning and Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation.

[BibT_eX]

[DOI]

IEEE Netw., 2019

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2019

ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2018

AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2018, 2018

Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Optimal Trajectory Planning of Drones for 3D Mobile Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

2017

Arms: A Fine-Grained 3D AQI Realtime Monitoring System by UAV.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Yuzhe Yang

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