Yuan Yuan 袁园

Assistant Professor
Deptment of Computer Science
Boston College
Room 528E, 245 Beacon St., Chestnut Hill, MA 02467

About Me

I am a Tenure-Track Assistant Professor in the Department of Computer Science at Boston College. Previously, I was 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.

Research Interests:

  • Machine Learning: the development of bleeding-edge machine learning techniques aims to comprehend and make meaningful use of various data modalities, including computer vision, Artificial Intelligence of Things (AIoT), language (including LLMs), and medical data.
  • AI for Disease and Health: new digital biomarker discovery, contactless health monitoring, etc., to advance personalized medicine.
  • Computer Vision: human-centered AI, such as human behavior and daily activities understanding.
  • 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.

    Recruiting: I am recruiting postdocs as well as interns, RAs, and visiting students. Send me an email if you are interested in working with me. I warmly welcome anyone interested in collaborating or discussing research with me, whether remotely or in person.

    News

    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] [BibTeX]

    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

    Press Coverage

    Teaching

    Duties at various times have included: weekly tutorial classes, weekly computer lab exercises, office hours, mark homework and exam papers.
    • Boston College, CSCI3399: Vision and Learning -- Introduction to Deep Learning, Spring 2024 [Course Website]
    • Hong Kong Polytechnic University, COMP5511 Artificial Intelligence Concepts, Guest Lecture, Fall 2023
    • Nanyang Technology University, Deep Generative Modeling, Teaching Seminar, May 2023
    • New York University, ROB-UY 3203 Robot Vision, Guest Lecture, Spring 2023
    • HKUST, EESM5547 -- Multimedia Signal Processing, Teaching Assistant, Fall 2014
    • HKUST, ELEC1200 -- A System View of Communications: from Signals to Packets, Teaching Assistant, Fall 2013
    • HKUST, ELEC1200 -- A System View of Communications: from Signals to Packets, Teaching Assistant, Spring 2012

    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, 2024
      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)

    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