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researcher

R. Xu

37 papers hereh-index 191.4k citations138 works total

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

author position
  • sole author3
  • first author1
  • middle author20
  • last author13

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • stat.ML10
  • cs.CV8
  • cs.CL1
  • math.OC1
  • q-fin.CP1
same name
  • R. Xu — 100 papers
  • R. Xu — 28 papers, h 16
  • R. Xu — 21 papers
  • R. Xu — 21 papers, h 12
  • R. Xu — 20 papers, h 48
  • R. Xu — 17 papers

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
20132026
most citedDiversified Hidden Markov Models for Sequential Labeling

25 citations · 85 across the 36 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

stat.ML2026

Fair Multi-View Determinantal Coresets via Adaptive NEPv

Richard Yi Da Xu

Selecting a small, diverse subset from a large candidate pool often means balancing several incompatible notions of diversity. In trademark curation, for instance, a subset should…

cs.LG2026

Hierarchical Copula-Gumbel-Top-K Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws

Richard Yi Da Xu

A stochastic Gumbel-Top-K router defines, for every token of a mixture-of-experts (MoE) model, a routing law: a distribution over ordered expert lists and mixture weights. We ask w…

cs.LG2026

Spectral Certificates and Projection-DPP Rounding for Determinantal MAP Selection

Richard Yi Da Xu

Selecting a fixed-size subset that maximizes the determinant of a positive semidefinite kernel is the MAP problem for a size-constrained determinantal point process and the classic…

cs.LG2026

Rethinking Generalization in Graph Neural Networks: A Structural Complexity Perspective

Peiyao Wang, Liang Bai, Xian Yang +2

Graph neural networks (GNNs) have emerged as a fundamental tool for learning from graph-structured data, achieving strong performance across a wide range of applications. However,…

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