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:
Prospective students: I am currently seeking multiple highly motivated students to join my lab as postdocs, PhDs (2026), masters (2026), undergrades, and visitors (in-person or remote). If interested, please complete this Google form and contact miayuanmit@gmail.com (cc yuanyua@bc.edu).
Research Interests:
Multisensory AI & Generative AI: the development of bleeding-edge AI techniques aims to comprehend and make meaningful use of various data modalities, such as vision, Artificial Intelligence of Things (AIoT), language (including LLMs), and medical data, etc.
AI for medicine, health, science: new digital biomarker discovery, contactless health monitoring, etc., to advance personalized medicine.
Trustworthy & Safe AI: e.g., interpretability, robustness, alignment, etc.
News
[07/2024] One paper has been accepted by Nature Nanotechnology.
[05/2023] I was honored to be invited to give a guest lecture for the ROB-UY 3203 Robot Vision course at New York University in the Spring of 2023.
[01/2023] AI-based biomarker for Parkinson's disease has been selected to Notable Advances 2022 by Nature Medicine, as one of the ten global breakthroughs and critical developments that moved medicine forward in 2022. Notable Advances 2022 are selected from all the papers of Nature, Science, Lancet, New England Journal of Medicine and their subsidiary journals, and all the reports of the World Health Organization (WHO).
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]
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
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, 2024
International Conference on Learning Representations (ICLR), 2022, 2023, 2024, 2025
European Conference on Computer Vision (ECCV), 2020, 2022, 2024
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
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.