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Chen Wang

18 papers hereh-index 253.1k citations98 works total

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

author position
  • middle author15
  • last author1

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL3
  • cs.CR3
  • cs.CV2
  • astro-ph.HE1
  • astro-ph.IM1
same name
  • Chen Wang — 20 papers, h 26
  • Chen Wang — 19 papers, h 6
  • Chen Wang — 16 papers, h 11
  • Chen Wang — 16 papers, h 8
  • Chen Wang — 14 papers, h 13
  • Chen Wang — 10 papers, h 13

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
20172026
most citedAdversarial Examples on Graph Data: Deep Insights into Attack and Defense

104 citations · 152 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 1 cited

Cycle-Balanced Representation Learning For Counterfactual Inference

Guanglin Zhou, Lina Yao, Xiwei Xu +2

With the widespread accumulation of observational data, researchers obtain a new direction to learn counterfactual effects in many domains (e.g., health care and computational adve…

astro-ph.HE2021★ 16 cited

81 New Candidate Fast Radio Bursts in Parkes Archive

X. Yang, S. -B. Zhang, J. -S. Wang +14

We have searched for weak fast radio burst (FRB) events using a database containing 568,736,756 transient events detected using the Parkes radio telescope between 1997 and 2001. In…

cs.LG2021★ 15 cited

Blockchain-based Trustworthy Federated Learning Architecture

Sin Kit Lo, Yue Liu, Qinghua Lu +4

Federated learning is an emerging privacy-preserving AI technique where clients (i.e., organisations or devices) train models locally and formulate a global model based on the loca…

cs.LG2021

Architectural Patterns for the Design of Federated Learning Systems

Sin Kit Lo, Qinghua Lu, Liming Zhu +3

Federated learning has received fast-growing interests from academia and industry to tackle the challenges of data hungriness and privacy in machine learning. A federated learning…

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