Yuzhe Yang

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Dina KatabiThuan and Nicole Pham Professor, MITPatvirtintas el. paštas ai.mit.edu
Lingyang SongPeking University & Peng Cheng Laboratory, ChinaPatvirtintas el. paštas pku.edu.cn
Kaigui BianAssociate Professor, School of CS, Peking UniversityPatvirtintas el. paštas pku.edu.cn
Hao WangAssistant Professor of Computer Science, Rutgers UniversityPatvirtintas el. paštas mit.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITPatvirtintas el. paštas mit.edu
Terry EllisBoston UniversityPatvirtintas el. paštas bu.edu
E. Ray DorseyProfessor of Neurology, University of RochesterPatvirtintas el. paštas chet.rochester.edu
Daniel McDuffGoogle and University of WashingtonPatvirtintas el. paštas media.mit.edu
Aleksandar VidenovicAssociate Professor, Harvard UniversityPatvirtintas el. paštas mgh.harvard.edu
Shwetak PatelUniversity of Washington, Washington Research Foundation Endowed Professor, Computer SciencePatvirtintas el. paštas cs.washington.edu
Judy Wawira GichoyaEmory UniversityPatvirtintas el. paštas emory.edu
Devavrat ShahMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Ming-Zher PohGoogle, MITPatvirtintas el. paštas mit.edu
Faisal MahmoodAssociate Professor, Harvard UniversityPatvirtintas el. paštas fas.harvard.edu
Tom HartvigsenAssistant Professor, University of VirginiaPatvirtintas el. paštas virginia.edu
Leo Anthony CeliMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterPatvirtintas el. paštas nih.gov
Edward Jay WangUniversity of California, San DiegoPatvirtintas el. paštas eng.ucsd.edu
Tim AlthoffAssociate Professor of Computer Science, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Yun LiuSenior Staff Research Scientist, Google ResearchPatvirtintas el. paštas google.com

Stebėti

Yuzhe Yang

Assistant Professor, UCLA

Patvirtintas el. paštas ucla.edu - Pagrindinis puslapis

Machine Learning Artificial Intelligence Healthcare Computational Medicine


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Y Yang, Z Xu Neural Information Processing Systems (NeurIPS), 2020	483	2020
Delving into Deep Imbalanced Regression Y Yang, K Zha, YC Chen, H Wang, D Katabi International Conference on Machine Learning (ICML), 2021	380	2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition T Li, P Cao, Y Yuan, L Fan, Y Yang, R Feris, P Indyk, D Katabi IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022	235	2022
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals Y Yang, Y Yuan, G Zhang, H Wang, YC Chen, Y Liu, CG Tarolli, ... Nature Medicine 28 (10), 2207-2215, 2022	220	2022
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation Y Yang, G Zhang, Z Xu, D Katabi International Conference on Machine Learning (ICML), 2019	213	2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks M Guo, Y Yang, R Xu, Z Liu, D Lin IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020	200	2020
Real-Time Profiling of Fine-Grained Air Quality Index Distribution using UAV Sensing Y Yang, Z Zheng, K Bian, L Song, Z Han IEEE Internet of Things Journal 5 (1), 186-198, 2018	184	2018
BodyCompass: Monitoring Sleep Posture with Wireless Signals S Yue, Y Yang, H Wang, H Rahul, D Katabi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020	131	2020
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation Z Hu, Z Bai, Y Yang, Z Zheng, K Bian, L Song IEEE Network 33 (2), 14-22, 2019	124	2019
Change is Hard: A Closer Look at Subpopulation Shift Y Yang, H Zhang, D Katabi, M Ghassemi International Conference on Machine Learning (ICML), 2023	111	2023
Rank-N-Contrast: Learning Continuous Representations for Regression K Zha, P Cao, J Son, Y Yang, D Katabi Neural Information Processing Systems (NeurIPS), 2023	72*	2023
Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response Y Liu, G Zhang, CG Tarolli, R Hristov, S Jensen-Roberts, EM Waddell, ... Science Translational Medicine 14 (663), 2022	72	2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond Y Yang, H Wang, D Katabi European Conference on Computer Vision (ECCV), 2022	65	2022
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System Y Yang, Z Hu, K Bian, L Song IEEE International Conference on Computer Communications (INFOCOM), 2019	53	2019
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation D Shah, D Song, Z Xu, Y Yang Neural Information Processing Systems (NeurIPS), 2020	51	2020
The limits of fair medical imaging AI in real-world generalization Y Yang, H Zhang, JW Gichoya, D Katabi, M Ghassemi Nature Medicine 30 (10), 2838-2848, 2024	48*	2024
SimPer: Simple Self-Supervised Learning of Periodic Targets Y Yang, X Liu, J Wu, S Borac, D Katabi, MZ Poh, D McDuff International Conference on Learning Representations (ICLR), 2023	45	2023
Harnessing Structures for Value-Based Planning and Reinforcement Learning Y Yang, G Zhang, Z Xu, D Katabi International Conference on Learning Representations (ICLR), 2020	39	2020
AQNet: Fine-Grained 3D Spatio-Temporal Air Quality Monitoring by Aerial-Ground WSN Y Yang, Z Bai, Z Hu, Z Zheng, K Bian, L Song IEEE International Conference on Computer Communications (INFOCOM), 2018	36	2018
Demographic bias in misdiagnosis by computational pathology models A Vaidya, RJ Chen, DFK Williamson, AH Song, G Jaume, Y Yang, ... Nature Medicine 30 (4), 1174-1190, 2024	32	2024

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