Xiaoyun Yuan
Tenured Track Associate Professor
Works on computational imaging, co-designing optical hardware and learning algorithms for light-field reconstruction.
Xiaoyun Yuan's lab at SJTU works on computational imaging & photography and 3D vision & neural rendering. 9 papers since 2023, 6 at top venues, mostly CVPR and Nature Communications. 3 PhD students and 2 master's students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 67%
- PhD students
- 3
- MS students
- 2
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 3 papers2025 · T1 1
- 2 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: CVPR, Nature Communications, Nature, SIGGRAPH, TCSVT
Research focuspaper titles that use each topic's words
- Computational imaging & photography4 papers
- 3D vision & neural rendering2 papers
- optical1 paper
- light-field0 papers
- learning algorithms0 papers
Paper list
From the lab homepage.
20263 papers
- CVPR (T1)3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
- Nature Communications (T1)A skin-conformal rigid-in-soft array-based imaging system
- SIGGRAPH (T1)LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography
20253 papers
- ICCV HighlightDegradation-Modeled Multipath Diffusion for Tunable Metalens Photography
- TCSVTGBR: Generative Bundle Refinement for High-fidelity Gaussian Splatting with Enhanced Mesh Reconstruction
- Nature (T1)Integrated lithium niobate photonics for sub-ångström snapshot spectroscopy
20242 papers
- Light: Science & ApplicationsPhotonic neuromorphic architecture for tens-of-task lifelong learning
- CVPR (T1)SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
20231 paper
- Nature Communications (T1)Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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