Biography
Yang Liu is a postdoc scholar working on computational imaging, generative AI, and AI for science hosted by Prof. Katie Bouman at Caltech CMS. He received a PhD degree in computer science and was fortunate to be advised by 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 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 AI for meeting social needs and accelerating scientific discovery. 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 Caltech as a postdoc and working with Katie’s Computational Cameras Group! | 2025.09 |
| Defended my PhD thesis! Thanks Frédo, Bill, Kaiming, and everyone throughout my PhD journey! | 2025.07 |
| Co-organizing the first ICCV 2025 Workshop on Responsible Imaging! See you in Hawaii, Honolulu! | 2025.03 |
| Paper AI for on-patient medical record and mRNA therapeutics using intradermal microneedles has been accepted by Nature Materials! The paper and code are publicly accessible. | 2024.12 |
| 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 |
Interests
- Generative Image Synthesis
- Computational Imaging
- Computational Photography
- Neural Fields
- Machine Learning
Education
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PhD in Electrical Engineering and Computer Science, 2019 - 2025
Massachusetts Institute of Technology, Cambridge, MA, USA
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MEng in Control Science and Engineering, 2016 - 2019
Tsinghua University, Beijing, China
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BEng in Automation, 2012 - 2016
Tsinghua University, Beijing, China