Continous Invariance Learning

Yong Lin*, Fan Zhou*, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, and Hao Wang
(* indicates equal contribution)
International Conference on Learning Representations (ICLR), 2024
[PDF] [BibTeX]

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer

Hao He*, Yuan Yuan*, Ying-Cong Chen*, Peng Cao and Dina Katabi
(* indicates equal contribution, order determined via a random coin flip)
Machine Learning for Healthcare (MLHC), 2023
[MLHC Version] [NeurIPSw Version] [BibTeX]

Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing Signals

Yuzhe Yang, Yuan Yuan, Guo Zhang, Hao Wang, Ying-Cong Chen, Yingcheng Liu, Christopher Tarolli, Daniel Crepeau, Jan Bukartyk, Mithri Junna, Aleksandar Videnovic, Terry Ellis, Melissa Lipford, Ray Dorsey, Dina Katabi ( indicates corresponding authors: yuzhe@mit.edu; miayuan@mit.edu)
Nature Medicine (2022)     2-year Impact Factor: 87.241     5-year Impact Factor: 68.310
[Paper] [Project Page] [Poster] [BibTeX]

🏆 2022 Top Ten Notable Advances in Medicine [Year In Review]

Covered by: MIT News, MIT CSAIL News, Forbes, Fierce Biotech, University of Rochester, STAT News, New Atlas, The Boston Globe, NVIDIA Technical Blog, Yahoo, FDA News, WBUR, American Council on Science and Health, NIH News, Health IT Analytics, Boston.com, Parkinson's News Today, The Washington Post, Futurity, BioSpace, Times of India, aerzteblatt.de, MedSpace, AzoRobotics, healthcare-in-europe, The Daily Beast, Indian Express, and more media outlets can be found at here.

TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut

Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Xu Hu, James Crowley, Dominique Vaufreydaz
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[Project Page] [PDF] [Arxiv] [BibTeX] [Code]

 Star59

Addressing Feature Suppression in Unsupervised Visual Representations

Tianhong Li*, Lijie Fan*, Yuan Yuan, Hao He, Yonglong Tian, Rogerio Feris, Piotr Indyk and Dina Katabi
Winter Conference on Applications of Computer Vision (WACV), 2023
[PDF] [Talk (by Dina)] [BibTeX]

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

Yangtao Wang, Xi Shen, Xu Hu, Yuan Yuan, James Crowley, Dominique Vaufreydaz
Computer Vision and Pattern Recognition (CVPR), 2022
[Project Page] [PDF] [BibTeX] [Code (GitHub)] [Code (GitLab)]  

 Star313

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Tianhong Li*, Peng Cao*, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogerio Feris, Piotr Indyk and Dina Katabi
Computer Vision and Pattern Recognition (CVPR), 2022
[PDF] [BibTeX] [Code]

 Star99

Unsupervised Learning for Human Sensing Using Radio Signals

Tianhong Li*, Lijie Fan*, Yuan Yuan* and Dina Katabi
(* indicates equal contribution)
Winter Conference on Applications of Computer Vision (WACV), 2022
[PDF] [Poster] [BibTeX]

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo

Yueming Lyu, Yuan Yuan and Ivor W. Tsang
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
[Paper] [Supplemental] [arXiv] [Poster] [BibTeX]

In-home Daily-Life Captioning Using Radio Signals

Lijie Fan*, Tianhong Li*, Yuan Yuan and Dina Katabi
European Conference on Computer Vision (ECCV), 2020
[Project Page] [PDF] [arXiv] [Slides] [MIT CSAIL Video] [Video] [Talk] [BibTeX]
Covered by: MIT CSAIL News, BBC, TechCrunch, Engadget, VentureBeat, Daily Mail, Hot Hardware, Xataka (Mexico)
Oral Presentation (2%)

Learning Longterm Representations for Person Re-Identification Using Radio Signals

Lijie Fan*, Tianhong Li*, Rongyao Fang*, Rumen Hristov, Yuan Yuan and Dina Katabi
Computer Vision and Pattern Recognition (CVPR), 2020
[Project Page] [PDF] [arXiv] [Video] [BibTeX]
Covered by: MIT CSAIL News, TechCrunch, Yahoo News, Healthcare IT News, Medical Device and Diagnostic Industry

Marginalized Average Attentional Network For Weakly-Supervised Learning
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang and Dit-Yan Yeung
International Conference on Learning Representations (ICLR), 2019
[PDF] [Code] [BibTeX] 

 Star34

Efficient Batch Black-box Optimization with Deterministic Regret Bounds
Yueming Lyu, Yuan Yuan and Ivor W. Tsang
Under Review (JMLR), 2019
[arXiv] [BibTeX]

Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung and Abhinav Gupta
International Conference on Computer Vision (ICCV), 2017
[PDF] [Dataset] [BibTeX]

Adaptive Block Coding Order for Intra Prediction in HEVC
Amin Zheng, Yuan Yuan, Jiantao Zhou, Yuanfang Guo, Haitao Yang and Oscar C. Au
IEEE Transaction on Circuits and Systems for Video Technology, vol.26, no.11, pp.2152-2158, Nov. (TCSVT), 2016
[PDF] [BibTeX]

Image Compression Via Dense Descriptors Assisted Synthesis
Yuan Yuan, Amin Zheng, Haitao Yang and Oscar C. Au
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
[PDF] [BibTeX]
Oral Presentation

Motion Vector Fields Based Video Coding
Amin Zheng, Yuan Yuan, Hong Zhang, Haitao Yang, Pengfei Wan and Oscar C. Au
International Conference on Image Processing (ICIP), 2015
[PDF] [BibTeX]

Motion Estimation Via Hierarchical Block Matching and Graph Cut
Amin Zheng, Yuan Yuan, Sunil Prasad Jaiswal and Oscar C. Au
International Conference on Image Processing (ICIP), 2015
[PDF] [BibTeX]

Image Colorization Via Color Propagation and Rank Minimization
Yonggen Ling, Oscar C. Au, Jiahao Pang, Jin Zeng, Yuan Yuan and Amin Zheng
International Conference on Image Processing (ICIP), 2015
[PDF] [BibTeX]

Image Compression Via Sparse Reconstruction
Yuan Yuan, Oscar C. Au, Amin Zheng and Haitao Yang
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
[PDF] [Poster] [BibTeX]

Natural Image Matting via Adaptive Local and Nonlocal Sample Clustering
Haiyan Yang, Oscar C. Au, Yuan Yuan and Wenxiu Sun
International Conference on Image Processing (ICIP), 2014
[PDF] [BibTeX]
Top 10% Paper Award