◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Guanhua Fang

14 papers hereh-index 8210 citations38 works total

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

author position
  • first author9
  • middle author5

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

fields
  • stat.ME6
  • math.ST3
  • stat.ML2
  • cs.DS1
  • cs.LG1
  • cs.SI1
same name
  • Guanhua Fang — 4 papers, h 2
  • Guanhua Fang — 4 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
20172023
most citedOn the Identifiability of Diagnostic Classification Models

54 citations · 67 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

stat.ML2023

Empirical Risk Minimization for Losses without Variance

Guanhua Fang, Ping Li, Gennady Samorodnitsky

This paper considers an empirical risk minimization problem under heavy-tailed settings, where data does not have finite variance, but only has p-th moment with p∈(1,2). In…

cs.LG2023★ 1 cited

Copula for Instance-wise Feature Selection and Ranking

Hanyu Peng, Guanhua Fang, Ping Li

Instance-wise feature selection and ranking methods can achieve a good selection of task-friendly features for each sample in the context of neural networks. However, existing appr…

cs.DS2023

A Cover Time Study of a non-Markovian Algorithm

Guanhua Fang, Gennady Samorodnitsky, Zhiqiang Xu

Given a traversal algorithm, cover time is the expected number of steps needed to visit all nodes in a given graph. A smaller cover time means a higher exploration efficiency of tr…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.