Yuan Yuan 袁园

32-G934, 32 Vassar St.
Cambridge, MA 02139

About Me

I am a Postdoctoral Research Associate at Computer Science & Artificial Intelligence Lab of Massachusetts Institute of Technology, working with Prof. Dina Katabi. Before MIT, I received my Ph.D. degree in Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology. I was very fortunate to have Prof. Dit-Yan Yeung as my advisor. I was a visiting research scholar in The Robotics Institute of Carnegie Mellon University, working with Prof. Abhinav Gupta.

My research spans the areas of machine learning, computer vision, and AI for healthcare, intending to make people have more convenient and healthier lives. Towards this vision, I develop novel machine learning models and apply them to (1) enable human-centered AI, such as understanding human actions and people’s daily activities, and (2) advance contactless health monitoring and develop new digital biomarkers for diseases like Parkinson’s, Alzheimer’s, epilepsy, etc.

I am a WISDM speaker in MIT Office of Innovation. I am passionate about fostering STEM community diversity, equity, and inclusion through speaking, mentoring, teaching, academic collaborations, and outreach.


Selected Publications [Full List]

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)
NeurIPS Workshop on Learning from Time Series for Health, Neural Information Processing Systems (NeurIPS), 2022
Machine Learning for Healthcare (MLHC), 2023
[MLHC Version] [NeurIPSw Version]

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] Star

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

Posters & Technical Reports

Patents and Patent Applications

Selected Honors and Awards

  • Rising Stars in AI Symposium 2023 at KAUST, 2023. (Being selected to give a talk, but unable to attend in person due to visa issues)
  • 2022 Top Ten Notable Advances in Medicine, Nature Medicine, 2022. [Link]
  • Ali Star, Alibaba Group, 2019.
  • Research Travel Grant, CMU, ICCV 2017.
  • Overseas Research Award for conducting research at Carnegie Mellon University, HKUST, 2016.
  • Research Travel Grant, HKUST, 2014, 2015, 2017.
  • Meritorious Winner, Mathematical Contest in Modeling of America (MCM), 2011.
  • Microsoft Young Fellowship, Microsoft Research Asia, 2011.
  • National Scholarship (top 0.2%, highest honor), Ministry of Education of P.R.China, 2009, 2010, 2011.
  • Merit Scholarship (top 0.05%, highest honor), HUST, 2011
  • First-Class Scholarship (top 5%), HUST, 2009, 2010, 2011

Press Coverage

Academic Services

  • Workshop Committee
  • Organizing committee of ICLR workshop, Machine Learning for IoT: Datasets, Perception, and Understanding, 2023 [Workshop] [Website]
    PC Member of workshop on Learning with Limited Labelled Data for Image and Video Understanding, CVPR, 2022
    PC Member of the International Conference on Learning Representations (ICLR) workshop, PAIR^2Struct, 2022
    PC Member of the IEEE International Conference on Computer Vision (ICCV) workshop, the first workshop on statistic deep learning in computer vision, 2019
  • Conference Program Committee Member/Reviewer:
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2018, 2019, 2020, 2021, 2022, 2023
    IEEE International Conference on Computer Vision (ICCV), 2017, 2019, 2021, 2023
    International Conference on Machine Learning (ICML), 2021, 2022, 2023
    Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022, 2023
    International Conference on Learning Representations (ICLR), 2022, 2023, 2024
    European Conference on Computer Vision (ECCV), 2020, 2022
    Annual Meeting of the Association for Computational Linguistics (ACL), 2021
    AAAI Conference on Artificial Intelligence (AAAI), 2019, 2020, 2021
    Winter Conference on Applications of Computer Vision (WACV), 2022, 2023
    International Joint Conferences on Artificial Intelligence (IJCAI), 2017
  • Journal Reviewer
  • IEEE Transactions on Image Processing (TIP)
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    IEEE Transactions on Multimedia (TMM)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)


Duties at various times have included: weekly tutorial classes, weekly computer lab exercises, office hours, mark homework and exam papers.
  • Teaching Seminar, Nanyang Technology University (NTU) -- Deep Generative Modeling, May 2023
  • Guest Lecture, New York University, ROB-UY 3203 Robot Vision, Spring 2023
  • TA of ELEC1200 (HKUST) -- A System View of Communications: from Signals to Packets, Spring 2012, Fall 2013
  • TA of EESM5547 (HKUST) -- Multimedia Signal Processing, Fall 2014