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Lin Liu

31 papers hereh-index 425.4k citations215 works total

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

author position
  • middle author24
  • last author4

Across the 28 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.AI11
  • stat.ME4
  • cs.CY1
  • cs.DB1
  • q-bio.GN1
same name
  • Lin Liu — 25 papers, h 10
  • Lin Liu — 21 papers, h 7
  • Lin Liu — 16 papers, h 6
  • Lin Liu — 14 papers, h 11
  • Lin Liu — 13 papers, h 14
  • Lin Liu — 13 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
20152023
most citedA fast PC algorithm for high dimensional causal discovery with multi-core PCs

144 citations · 424 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 28 cited

Causality-based Feature Selection: Methods and Evaluations

Kui Yu, Xianjie Guo, Lin Liu +4

Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between p…

cs.DB2019★ 1 cited

Linking Graph Entities with Multiplicity and Provenance

Jixue Liu, Selasi Kwashie, Jiuyong Li +2

Entity linking and resolution is a fundamental database problem with applications in data integration, data cleansing, information retrieval, knowledge fusion, and knowledge-base p…

stat.ME2019★ 1 cited

Identify treatment effect patterns for personalised decisions

Jiuyong Li, Lin Liu, Shisheng Zhang +3

In personalised decision making, evidence is required to determine whether an action (treatment) is suitable for an individual. Such evidence can be obtained by modelling treatment…

cs.LG2019★ 9 cited

Robust Multi-instance Learning with Stable Instances

Weijia Zhang, Jiuyong Li, Lin Liu

Multi-instance learning (MIL) deals with tasks where data is represented by a set of bags and each bag is described by a set of instances. Unlike standard supervised learning, only…

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