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Wei Xiao

38 papers hereh-index 222.4k citations61 works total

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

author position
  • first author17
  • middle author18
  • last author3

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • eess.SY23
  • cs.RO7
  • cs.LG4
  • math.OC3
  • cs.MA1
same name
  • Wei Xiao — 15 papers, h 6
  • Wei Xiao — 12 papers, h 12
  • Wei Xiao — 12 papers, h 7
  • Wei Xiao — 7 papers, h 3
  • Wei Xiao — 7 papers, h 2
  • Wei Xiao — 7 papers, h 4

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

activity
20182026
most citedControl Barrier Functions for Systems with High Relative Degree

12 citations · 64 across the 38 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Reservoir observer enhanced with residual calibration and attention mechanism

Yichen Liu, Wei Xiao, Tianguang Chu

Reservoir observers provide a data-driven approach to the inference of unmeasured variables from observed ones for nonlinear dynamical systems. While previous studies have demonstr…

cs.LG2023★ 4 cited

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

Wei Xiao, Tsun-Hsuan Wang, Chuang Gan +1

Diffusion model-based approaches have shown promise in data-driven planning, but there are no safety guarantees, thus making it hard to be applied for safety-critical applications.…

cs.LG2022

On the Forward Invariance of Neural ODEs

Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani +4

We propose a new method to ensure neural ordinary differential equations (ODEs) satisfy output specifications by using invariance set propagation. Our approach uses a class of cont…

cs.LG2021★ 7 cited

BarrierNet: A Safety-Guaranteed Layer for Neural Networks

Wei Xiao, Ramin Hasani, Xiao Li +1

This paper introduces differentiable higher-order control barrier functions (CBF) that are end-to-end trainable together with learning systems. CBFs are usually overly conservative…

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