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Xiuzhen Zhang

4 papers hereh-index 303.6k citations149 works total

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

author position
  • middle author4

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

fields
  • cs.SI3
  • cs.CL1
same name
  • Xiuzhen Zhang — 11 papers, h 16
  • Xiuzhen Zhang — 9 papers, h 5
  • Xiuzhen Zhang — 6 papers, h 2
  • Xiuzhen Zhang — 5 papers, h 3
  • Xiuzhen Zhang — 4 papers, h 3
  • Xiuzhen Zhang — 3 papers, h 4

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 citedDetection of money laundering groups using supervised learning in networks

33 citations · 48 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2020★ 2 cited

Less is More: Rejecting Unreliable Reviews for Product Question Answering

Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau +2

Promptly and accurately answering questions on products is important for e-commerce applications. Manually answering product questions (e.g. on community question answering platfor…

cs.SI2016★ 33 cited

Detection of money laundering groups using supervised learning in networks

David Savage, Qingmai Wang, Pauline Chou +2

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen…

cs.SI2016★ 2 cited

Detection of opinion spam based on anomalous rating deviation

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

The publication of fake reviews by parties with vested interests has become a severe problem for consumers who use online product reviews in their decision making. To counter this…

cs.SI2016★ 11 cited

Anomaly detection in online social networks

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

Anomalies in online social networks can signify irregular, and often illegal behaviour. Anomalies in online social networks can signify irregular, and often illegal behaviour. Dete…

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