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Gang Liu

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CG1
  • cs.CL1
  • cs.IR1
  • cs.LG1
ORCID 0000-0003-4204-731X
same name
  • Gang Liu — 21 papers, h 17
  • Gang Liu — 6 papers
  • Gang Liu — 5 papers, h 20
  • Gang Liu — 4 papers, h 12
  • Gang Liu — 3 papers, h 5
  • Gang Liu — 3 papers, h 47

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

most citedExplaining Tree Model Decisions in Natural Language for Network Intrusion Detection

6 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 6 cited

Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection

Noah Ziems, Gang Liu, John Flanagan +1

Network intrusion detection (NID) systems which leverage machine learning have been shown to have strong performance in practice when used to detect malicious network traffic. Deci…

cs.LG2023★ 1 cited

Semi-Supervised Graph Imbalanced Regression

Gang Liu, Tong Zhao, Eric Inae +2

Data imbalance is easily found in annotated data when the observations of certain continuous label values are difficult to collect for regression tasks. When they come to molecule…

cs.CG2023

Geometric Hitting Set for Line-Constrained Disks and Related Problems

Gang Liu, Haitao Wang

Given a set P of n weighted points and a set S of m disks in the plane, the hitting set problem is to compute a subset P′ of points of P such that each disk contains at…

cs.IR2022

On the Relationship Between Counterfactual Explainer and Recommender

Gang Liu, Zhihan Zhang, Zheng Ning +1

Recommender systems employ machine learning models to learn from historical data to predict the preferences of users. Deep neural network (DNN) models such as neural collaborative…

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