Yang Liu

PhD student



Yang Liu is a fifth-year PhD student working on generative image synthesis and computational imaging/photography with Prof. Frédo Durand at MIT EECS & CSAIL. He is excited about seeing, making, and connecting (almost) anything. He emphasizes on structured diffusion image synthesis, imaging and sensing beyond human vision (in terms of dimensionality and visibility) by combining optical imaging systems with compressive sensing and machine learning techniques.

Prior to this, he received his bachelor’s and master’s degrees from Tsinghua University in 2016 and 2019, respectively. He worked on computational imaging and microscopy, advised by Prof. Qionghai Dai and working closely with Prof. Jinli Suo.

He is broadly interested in artificial intelligence for accelerating scientific discovery and meeting social needs. He also worked on revealing the imaging threat of ambient light sensors on everyday screens, which is capable of resolving an image of the scene in front of the screen without accessing the selfie camera, and designing a privacy-preserving intradermal barcode and a robust recognition system as vaccine record and beyond (general on-patient medical record). [Spotlight by MIT CSAIL]

News   [check out my notion site for latest updates and google scholar for papers]
Joining Meta Reality Labs at Sausalito, CA for summer 2024 internship. 2024.03
Privacy Dual Imaging is online and covered by MIT News, Forbes, IEEE Spectrum, Ars Technica, and more (30+). Thanks Alex and Rachel for initial post! 2024.01
Paper Privacy Dual Imaging has been accepted by Science Advances! 2023.12
Co-Organizing MIT Graphics Seminars (weekly lunch format) with Karima. Shoot us an email if you are interested! 2023–2024
Taking MAS.863 How-to-Make class making my own content creation for fun! 2022 Fall
Received Takeda Fellowship (2022-2023) from MIT-Takeda Program. Thanks Takeda! 2022.06
Research Spotlight by MIT CSAIL. Thanks Matt and Nate for neat production! 2022.04


  • Generative Image Synthesis
  • Computational Imaging
  • Computational Photography
  • Neural Fields
  • Machine Learning


  • PhD in Electrical Engineering and Computer Science, 2019 - present

    Massachusetts Institute of Technology, Cambridge, MA, USA

  • MEng in Control Science and Engineering, 2016 - 2019

    Tsinghua University, Beijing, China

  • BEng in Automation, 2012 - 2016

    Tsinghua University, Beijing, China


(2022). Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44 (10), 7093–7111.

project pdf code arXiv doi bibtex

(2020). Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging. in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Oral], 1447-1457.

project pdf code supp arXiv doi bibtex

(2019). Rank Minimization for Snapshot Compressive Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41 (12), 2990-3006.

project pdf code supp arXiv doi bibtex

(2019). Snapshot Compressive Volumetric Light-sheet Microscopy. in OSA Biophotonics Congress, Bio-Optics: Design and Application (BODA), JW5A.5.

project pdf slides doi bibtex

Honors and Awards

Honor/Award Name and Granting Institution
Takeda Fellowship (MIT-Takeda Program; 2022-2023) 2022
MIT Stata Family Presidential Fellowship (2019-2020) 2019
Outstanding Master’s Thesis of Tsinghua University 2019
Outstanding Postgraduate of Tsinghua University 2019
Outstanding Postgraduate of Automation Department 2019
Jiang Nanxiang Scholarship (finalist of Top-10 Graduate Scholarship of Tsinghua University; 30/∼30,000) 2018
Special Honor of Automation Department for Postgraduate Students (3/∼600) 2018
Outstanding Graduate of Beijing 2016
Outstanding Graduate of Tsinghua University 2016
National Endeavor Scholarship 2015
Second Prize in the 33-th Challenge Cup of Tsinghua University 2015
Honorable Mention in Mathematical Contest in Modeling 2015
Samvo-Chan Shung Fai Scholarship 2014
Second Prize in Contemporary Undergraduate Mathematical Contest in Modeling 2014
National Endeavor Scholarship 2013
Cyrus Tang Scholarship 2013-2015
HAGE Scholarship 2013-2015

Academic Services

Seminar/Workshop Organizer and Journal/Conference Reviewer
Co-Organizer of MIT Graphics Seminars (weekly lunch format). 2023–2024
Organizer of MIT Vision and Graphics Seminars (bi-weekly graphics side). 2022–2023
Co-Organizer of the first MIT Visual Computing Workshop. 2021.02
Reviewer for IEEE Transactions on Computational Imaging (TCI), Transactions on Neural Networks and Learning Systems (TNNLS), Journal of Selected Topics in Signal Processing (JSTSP), and Optica Publishing Group (previously known as OSA) Photonics Research, Optics Express (OE), Optics Letters (OL), Biomedical Optics Express (BOE), Applied Optics (AO).