YL

Yang Liu

Electrical and Electronic Engineering

The University of Hong Kong

Hands-onOn-time GradTravel Often
3.7/ 5.0
6 student reviews
👍3
👎0
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About Yang Liu at The University of Hong Kong

Yang Liu will join the Department of Electrical and Electronic Engineering at The University of Hong Kong as a tenure-track Assistant Professor in August 2026. He received his PhD from the Department of Electrical Engineering and Computer Science at MIT, where he was advised by Frédo Durand, and is currently a postdoctoral researcher at Caltech working with Katie Bouman. His research centers on computational imaging, physical AI, and generative foundation models, with a long-term goal of building intelligent systems that extend beyond human visual perception. His work explores algorithmic frameworks grounded in physical imaging processes, including plug-and-play priors, diffusion-based generative models, neural field representations, and multidimensional sensing. He is also interested in responsible AI sensing, biomedical imaging, and imaging-driven scientific discovery, as well as multi-agent AI systems that combine physical reasoning with vision and language models to achieve expert-level or superhuman performance.

Research Areas

computational imagingphysical AIgenerative modelsdiffusion modelsvision-language modelsagentic AIAI for science

Rating Breakdown

Supervision Style4.0
Responsiveness4.0
Workload3.3
Funding Support3.3
Communication3.7

Reviews (3)

A
Anonymous12/19/2025
4.0

I collaborated on computational imaging experiments as a postdoc visitor. Mentoring balanced algorithmic development with physical optics constraints; expectations were explicit in project milestones. Good fit for students who like bridging machine learning with imaging hardware.

A
Anonymous10/20/2025
3.0

High expectations for lab meetings, sometimes brutally honest critiques, but you'll come out a better researcher. Demanding but supportive when things go wrong.

A
Anonymous6/17/2025
4.0

Somewhat slow to respond to emails (1-2 weeks), but available for in-person discussions anytime. Kind of old-school about communication, but genuinely cares.

👍

A student recommended this supervisor and marked them as Hands-on

Anonymous quick feedback

3 weeks ago

👍

A student recommended this supervisor and marked them as On-time Grad

Anonymous quick feedback

7 months ago

👍

A student recommended this supervisor and marked them as Travel Often

Anonymous quick feedback

6 months ago

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