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Qibin Zhao

69 papers hereh-index 4810.6k citations290 works total

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

author position
  • first author1
  • middle author40
  • last author24

Across the 65 of 69 papers where every author was matched, so the position is known.

fields
  • cs.LG28
  • cs.CV11
  • math.NA10
  • cs.CL4
  • eess.IV4
  • stat.ML4
same name
  • Qibin Zhao — 2 papers
  • Qibin Zhao — 1 paper, h 15
  • Qibin Zhao — 1 paper
  • Qibin Zhao — 1 paper

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
20162026
most citedEfficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train

40 citations · 90 across the 44 of their papers we have counts for

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2026

Local-Time Riemannian Score Matching on the Quantum Pure-State Manifold

Jian Xu, Wei Chen, Shigui Li +4

Score-based diffusion can be defined intrinsically on the manifold of quantum pure states, CPd−1 with the Fubini--Study metric, but no closed-form transition density…

stat.ML2026

One-Step Score-Based Density Ratio Estimation

Wei Chen, Qibin Zhao, John Paisley +2

Density ratio estimation (DRE) is a useful tool for quantifying discrepancies between probability distributions, but existing approaches often involve a trade-off between estimatio…

stat.ML2025

Diffusion Secant Alignment for Score-Based Density Ratio Estimation

Wei Chen, Shigui Li, Jiacheng Li +6

Estimating density ratios has become increasingly important with the recent rise of score-based and diffusion-inspired methods. However, current tangent-based approaches rely on a…

stat.ML2022★ 3 cited

Noisy Tensor Completion via Low-rank Tensor Ring

Yuning Qiu, Guoxu Zhou, Qibin Zhao +1

Tensor completion is a fundamental tool for incomplete data analysis, where the goal is to predict missing entries from partial observations. However, existing methods often make t…

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