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researcher

Hao Sun

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
ORCID 0000-0003-0951-6428
same name
  • Hao Sun — 58 papers, h 14
  • Hao Sun — 36 papers, h 10
  • Hao Sun — 18 papers, h 8
  • Hao Sun — 15 papers, h 14
  • Hao Sun — 13 papers, h 12
  • Hao Sun — 12 papers, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDiscovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning

12 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Accurate Gaze Estimation using an Active-gaze Morphable Model

Hao Sun, Nick Pears

Rather than regressing gaze direction directly from images, we show that adding a 3D shape model can: i) improve gaze estimation accuracy, ii) perform well with lower resolution in…

cs.CV2022

Stare at What You See: Masked Image Modeling without Reconstruction

Hongwei Xue, Peng Gao, Hongyang Li +4

Masked Autoencoders (MAE) have been prevailing paradigms for large-scale vision representation pre-training. By reconstructing masked image patches from a small portion of visible…

cs.LG2022★ 3 cited

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

Luning Sun, Daniel Zhengyu Huang, Hao Sun +1

Nonlinear dynamics are ubiquitous in science and engineering applications, but the physics of most complex systems is far from being fully understood. Discovering interpretable gov…

cs.LG2022★ 12 cited

Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning

Chengping Rao, Pu Ren, Yang Liu +1

There have been growing interests in leveraging experimental measurements to discover the underlying partial differential equations (PDEs) that govern complex physical phenomena. A…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.