Yuan Yuan

Yuan Yuan

Assistant Professor

| Room 528E, 45 Beacon St., Chestnut Hill, MA 02467

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.

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.

Courses

Lectures

  • 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

Teaching Assistant

  • 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

  • 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, 2025
  • 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)

 

  • 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

 

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