![Yang Liu, PhD student at MIT EECS & CSAIL
Email: [email protected]
Photo credit: Xiang Fu ](https://s3-us-west-2.amazonaws.com/secure.notion-static.com/8209533a-d610-4f25-a327-d39888497c48/avatar.jpg)
Yang Liu, PhD student at MIT EECS & CSAIL
Email: [email protected]
Photo credit: Xiang Fu
I am a fifth-year PhD student working on computational imaging/photography with Professor Frédo Durand at MIT EECS & CSAIL. Prior to this, I received my bachelor’s and master’s degrees from Tsinghua University in 2016 and 2019, respectively.
I focus on computational imaging and photography, which jointly design hardware (to optics level) and software (to compiler level) for high-dimensional (3D, high-speed, spectral, angular, et al.) or invisible (to human eyes) visual observations in macro- and micro-scale. Typical projects I work on can be categorized as high-dimensional visual computing from low-dimensional samplings, such as single-pixel imaging (from 1D photodiode signal to 2D image), snapshot compressive imaging (from a single coded 2D image to a video or hyperspectral images), neural microscopic fields (from a stack of angular microscopy images to a 3D video with uncompromised temporal resolution).
I am broadly interested in AI for accelerating scientific discovery and meeting social needs. I 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]
Paper Privacy Dual Imaging has been accepted by Science Advances!
Co-Organizing MIT Graphics Seminars. Shoot me an email if interested!
Taking MAS.863 How-to-Make class making my own content creation for fun!
Received Takeda Fellowship (2022-2023) from MIT-Takeda Program.
Research Spotlight by MIT CSAIL. Thanks Matt and Nate for neat production!
2023.12
2023 Fall
2022 Fall
2022.06
2022.04
PhD in Electrical Engineering and Computer Science, 2019 - present
MEng in Control Science and Engineering, 2016 - 2019
BEng in Automation, 2012 - 2016
[Google Scholar] for a complete list; † denotes equal contributions; ✉ denotes corresponding author(s).
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Imaging Privacy Threats from an Ambient Light Sensor. **Yang Liu**✉, Gregory W. Wornell, William T. Freeman, and Frédo Durand✉. Science Advances, 10 (2), eadj3608, DOI: 10.1126/sciadv.adj3608, 2024. [project] [code] [video] [highlight] [doi] [bibtex]
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Deep Learning-assisted On-patient Medical Record and mRNA Therapeutics Delivery using Microneedles. Maria Kanelli† , Jooli Han† , Yang Liu, John Daristotle, Apurva Pardeshi, Timothy Forster, Ari Karchin, Brandon Folk, Lukas Murmann, Lisa Tostanoski, Sebastian Carrasco, Linzixuan Zhang, Behnaz Eshaghi, Shahad Alsaiari, Sydney Pyon, Collin Perkinson, Moungi Bawendi, Dan Barouch, Frédo Durand, Robert Langer✉, and Ana Jaklenec✉. [submitted] 2023. [project] [code] [bibtex]
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Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. Xin Yuan†, Yang Liu†, Jinli Suo, Frédo Durand, and Qionghai Dai. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44 (10), 7093-7111, DOI: 10.1109/TPAMI.2021.3099035, 2022. [project] [pdf] [code] [doi] [ar5iv] [bibtex]
Co-Organizer of MIT Graphics Seminar (weekly lunch format).
Organizer of MIT Vision and Graphics Seminar (biweekly graphics side).
Co-Organizer of the first MIT Visual Computing Workshop.
2023-2024
2022-2023
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); Optica Publishing Group (previously known as OSA) Photonics Research, Optics Express (OE), Optics Letters (OL), Biomedical Optics Express (BOE), Applied Optics (AO); and Nature Portfolio Scientific Reports.