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Jie Xu

4 papers hereh-index 364.3k citations191 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CL3
  • cs.CR1
same name
  • Jie Xu — 59 papers, h 54
  • Jie Xu — 18 papers
  • Jie Xu — 17 papers, h 27
  • Jie Xu — 16 papers
  • Jie Xu — 10 papers
  • Jie Xu — 9 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
20192021
most citedHAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

8 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CR2021★ 8 cited

HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

Yiming Hei, Renyu Yang, Hao Peng +6

Android is undergoing unprecedented malicious threats daily, but the existing methods for malware detection often fail to cope with evolving camouflage in malware. To address this…

cs.CL2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation

Junfan Chen, Richong Zhang, Yongyi Mao +1

The dependencies between system and user utterances in the same turn and across different turns are not fully considered in existing multidomain dialogue state tracking (MDST) mode…

cs.CL2020

Neural Dialogue State Tracking with Temporally Expressive Networks

Junfan Chen, Richong Zhang, Yongyi Mao +1

Dialogue state tracking (DST) is an important part of a spoken dialogue system. Existing DST models either ignore temporal feature dependencies across dialogue turns or fail to exp…

cs.CL2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

Junfan Chen, Richong Zhang, Yongyi Mao +2

Distant supervision for relation extraction enables one to effectively acquire structured relations out of very large text corpora with less human efforts. Nevertheless, most of th…

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