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Jie Wang

8 papers hereh-index 8413 citations9 works total

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

author position
  • first author6
  • middle author1
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
  • cs.IR1
  • eess.AS1
  • math.NA1
  • stat.ML1
same name
  • Jie Wang — 21 papers, h 16
  • Jie Wang — 20 papers, h 13
  • Jie Wang — 17 papers, h 14
  • Jie Wang — 14 papers, h 12
  • Jie Wang — 14 papers, h 7
  • Jie Wang — 14 papers, h 5

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
20212023
most citedTrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support

50 citations · 69 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

eess.AS2022

WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit

Jie Wang, Menglong Xu, Jingyong Hou +4

Keyword spotting (KWS) enables speech-based user interaction and gradually becomes an indispensable component of smart devices. Recently, end-to-end (E2E) methods have become the m…

cs.CV2022

Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation

Jie Wang, Xiao-Lei Zhang

Unsupervised domain adaptation (UDA) transfers knowledge from a label-rich source domain to a different but related fully-unlabeled target domain. To address the problem of domain…

cs.IR2022★ 8 cited

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback

Jie Wang, Fajie Yuan, Mingyue Cheng +6

Learning large-scale pre-trained models on broad-ranging data and then transfer to a wide range of target tasks has become the de facto paradigm in many machine learning (ML) commu…

stat.ML2022

A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks

Jie Wang, Minshuo Chen, Tuo Zhao +2

Two-sample tests are important areas aiming to determine whether two collections of observations follow the same distribution or not. We propose two-sample tests based on integral…

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