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Peng Lin

4 papers hereh-index 591 citations12 works total

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

author position
  • sole author1
  • first author2
  • middle author1

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

fields
  • cs.AI2
  • cs.IR2
same name
  • Peng Lin — 4 papers, h 31
  • Peng Lin — 4 papers, h 27
  • Peng Lin — 3 papers, h 2
  • Peng Lin — 3 papers, h 4
  • Peng Lin — 2 papers, h 6
  • Peng Lin — 2 papers, h 3

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
20152024
most citedGraph based Nearest Neighbor Search: Promises and Failures

10 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024

Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models

Peng Lin, Martin Neil, Norman Fenton

Hybrid Bayesian networks (HBN) contain complex conditional probabilistic distributions (CPD) specified as partitioned expressions over discrete and continuous variables. The size o…

cs.IR2019

On the Merge of k-NN Graph

Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin +1

k-nearest neighbor graph is a fundamental data structure in many disciplines such as information retrieval, data-mining, pattern recognition, and machine learning, etc. In the lite…

cs.IR2019★ 10 cited

Graph based Nearest Neighbor Search: Promises and Failures

Peng-Cheng Lin, Wan-Lei Zhao

Recently, graph based nearest neighbor search gets more and more popular on large-scale retrieval tasks. The attractiveness of this type of approaches lies in its superior performa…

cs.AI2015★ 5 cited

Performing Bayesian Risk Aggregation using Discrete Approximation Algorithms with Graph Factorization

Peng Lin

Risk aggregation is a popular method used to estimate the sum of a collection of financial assets or events, where each asset or event is modelled as a random variable. Application…

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