Welcome to Yuzhe Yang's Homepage!

Hi there! I am a ~~first~~ ~~second~~ third-year Ph.D. student in Computer Science at MIT CSAIL. I am fortunate to be advised by Prof. Dina Katabi. Before coming to MIT, I finished my undergraduate study with honors at Peking University.

My research focuses on (1) learning-based wireless sensing, with application to healthcare; and (2) machine learning, especially in robust machine learning and reinforcement learning.

/ / / /

News

[09/2020] BodyCompass is covered by MIT News and featured on MIT front page.
[06/2020] Got my Master degree from MIT EECS! My SM thesis is on structured approaches for deep learning algorithms.
[04/2020] My recent research on contactless human sleep sensing has been used to let doctors monitor COVID-19 patients from a distance.

[12/2019] Paper on structured reinforcement learning is accepted to ICLR 2020 as an Oral Presentation (1.8%).

[07/2018] My B.S. thesis won the Best 10 Dissertation Award (10 in 400) in School of EECS at Peking University.
[11/2017] My work on 3D air quality monitoring via UAV sensing won the First Prize (No.1 out of 23 finalists) in IEEE ComSoc Student Competition'17.
[Show more]

Selected Publications [Full List]

(* indicates equal contribution)

Harnessing Structures for Value-Based Planning and Reinforcement Learning
Yuzhe Yang, Guo Zhang, Zhi Xu, and Dina Katabi
8^th International Conference on Learning Representations (ICLR 2020)
Oral Presentation [acceptance rate: 1.8%]
[Paper] • [OpenReview] • [Project Page] • [arXiv] • [Code] • [Slides] • [Talk] • [BibTeX]

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Minghao Guo*, Yuzhe Yang*, Rui Xu, Ziwei Liu, and Dahua Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)
[Paper] • [Project Page] • [arXiv] • [Code] • [Slides] • [Poster] • [Talk] • [BibTeX]

BodyCompass: Monitoring Sleep Posture with Wireless Signals
Shichao Yue, Yuzhe Yang, Hao Wang, Hariharan Rahul, and Dina Katabi
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2020)
[Paper] • [Project Page] • [Slides] • [Talk] • [BibTeX] • [MIT News]

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi, and Zhi Xu
36^th International Conference on Machine Learning (ICML 2019)
[Paper] • [Project Page] • [arXiv] • [Code] • [Slides] • [Poster] • [Talk] • [BibTeX]

ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System
Yuzhe Yang, Zhiwen Hu, Kaigui Bian, and Lingyang Song
IEEE International Conference on Computer Communications (INFOCOM 2019)
[Paper] • [Project Page] • [arXiv] • [Code] • [Video] • [BibTeX]

Real-Time Profiling of Fine-Grained Air Quality Index Distribution using UAV Sensing
Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, and Zhu Han
IEEE Internet of Things Journal (IoT-J), Feb. 2018
[Paper] • [arXiv] • [Video] • [BibTeX]
IEEE ComSoc Student Competition'17 Best Project (No.1)

Talks (Selected)

Harnessing Structures for Value-Based Planning and Reinforcement Learning @ ICLR'20, ~~Addis Ababa~~ Virtual Conference.
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks @ CVPR'20, ~~Seattle~~ Virtual Conference.
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation @ ICML'19, Long Beach.
AQNet: Fine-Grained 3D Spatio-Temporal Air Quality Monitoring by Aerial-Ground WSN @ INFOCOM'18, Hawaii.

Honors and Awards (Selected)

Top Ten Undergraduate Dissertation Award, 10 in 400 in EECS Dept., Peking University, 2018.
First Prize (No.1 out of 23 finalists), IEEE ComSoc Student Competition: Communication Technology Changing the World. 2017.
National Scholarship (highest honor), Top 0.1% among undergraduates nationwide, The Chinese Government, 2017.
HuaWei Scholarship, Top 0.7% among EECS undergraduates, Peking University, 2017.
Outstanding Undergraduate Research Award, Top 1% among undergraduates, Peking University, 2017.

Professional Service

Conference Reviewer: NeurIPS, ICLR, ECCV
Program Committee: AdvML Workshop @ ECCV'20
Journal Reviewer: IEEE Trans. Vehicular Technology, IEEE Internet of Things Journal

Press

BodyCompass was covered by: MIT News, Engadget, Yahoo, Technology Networks, Sleep Review, TechTimes, SlashGear, TechSpot, Hackster, New Atlas, BGR, and other media outlets.
COVID-19 Health Monitoring was covered by: CSAIL News, Tech Crunch, Engadget, VentureBeat, and other media outlets.

Contact

MIT Computer Science & Artificial Intelligence Lab
32-G928, 32 Vassar St.
Cambridge, MA 02139
yuzhe [at] mit [dot] edu