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Yang Lu

14 papers hereh-index 6342 citations22 works total

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

author position
  • first author1
  • middle author12
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV6
  • cs.IT1
same name
  • Yang Lu — 24 papers, h 12
  • Yang Lu — 11 papers, h 3
  • Yang Lu — 9 papers, h 4
  • Yang Lu — 8 papers, h 6
  • Yang Lu — 7 papers, h 19
  • Yang Lu — 7 papers, h 2

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
20222026
most citedLong-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

92 citations · 119 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

Tao Xie, Zexi Tan, Haoyi Xiao +5

Multivariate time series classification (MTSC) is pivotal in high-stakes domains, such as clinical diagnosis and industrial fault detection, where safe deployment necessitates tran…

cs.CV2026

CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels

Mengke Li, Haiquan Ling, Lihao Chen +3

Learning from real-world data is frequently hindered by the compound challenge of long-tailed class distributions and noisy annotations. Existing methods partially address these is…

cs.IT2026

On Unified and Sharpened CMI Bounds for Generalization Errors

Yang Lu, Matthias Frey, Margreta Kuijper +1

We present a new family of information-theoretic generalization bounds within the framework of conditional mutual information (CMI). Most of our results are established based on th…

cs.LG2026

Stitch the Fragments: One-Shot Hierarchical Federated Clustering

Shenghong Cai, Zihua Yang, Yang Lu +4

Federated Clustering (FC) faces a critical bottleneck in real-world scenarios, i.e., global clusters are rarely intact, often fragmenting into incomplete, multi-granular unlabeled…

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