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Yandong Tang

4 papers hereh-index 7200 citations25 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.RO1
same name
  • Yandong Tang — 8 papers, h 27
  • Yandong Tang — 6 papers, h 5
  • Yandong Tang — 1 paper, h 2
  • Yandong Tang — 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

most citedLow-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

9 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent

Zhiyu Liu, Zhi Han, Yandong Tang +2

We consider the noisy matrix sensing problem in the over-parameterization setting, where the estimated rank r is larger than the true rank r⋆​ of the target matrix $X_\star…

cs.RO2024★ 2 cited

CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments

Yanpeng Jia, Fengkui Cao, Ting Wang +3

Most LiDAR odometry and SLAM systems construct maps in point clouds, which are discrete and sparse when zoomed in, making them not directly suitable for navigation. Mesh maps repre…

cs.CV2024

Diverse Representation Embedding for Lifelong Person Re-Identification

Shiben Liu, Huijie Fan, Qiang Wang +3

Lifelong Person Re-Identification (LReID) aims to continuously learn from successive data streams, matching individuals across multiple cameras. The key challenge for LReID is how…

cs.LG2024★ 9 cited

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

Zhiyu Liu, Zhi Han, Yandong Tang +2

This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tac…

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