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Quan Z. Sheng

School of Computing, Macquarie University, North Ryde, NSW, Australia

47 papers hereh-index 6118.6k citations533 works total

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

author position
  • first author1
  • middle author32
  • last author12

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.IR7
  • cs.LG7
  • cs.SI5
  • cs.DB4
  • cs.HC3
affiliations
  • School of Computing, Macquarie University, North Ryde, NSW, Australia
Homepage
same name
  • Quan Z. Sheng — 15 papers, h 3
  • Quan Z. Sheng — 8 papers, h 3
  • Quan Z. Sheng — 6 papers, h 6
  • Quan Z. Sheng — 6 papers, h 4
  • Quan Z. Sheng — 5 papers, h 6
  • Quan Z. Sheng — 4 papers, h 3

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
20142023
most citedA Comprehensive Survey on Graph Anomaly Detection with Deep Learning

839 citations · 2.3k across the 47 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.IR2019★ 361 cited

Sequential Recommender Systems: Challenges, Progress and Prospects

Shoujin Wang, Liang Hu, Yan Wang +3

The emerging topic of sequential recommender systems has attracted increasing attention in recent years.Different from the conventional recommender systems including collaborative…

cs.SE2019★ 1 cited

Towards Measuring the Adaptability of an AO4BPEL Process

Khavee Agustus Botangen, Jian Yu, Michael Sheng

Adaptability is a significant property which enables software systems to continuously provide the required functionality and achieve optimal performance. The recognised importance…

cs.IR2019★ 75 cited

A Survey on Session-based Recommender Systems

Shoujin Wang, Longbing Cao, Yan Wang +3

Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized e…

cs.CL2019★ 260 cited

Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey

Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi +1

With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applicatio…

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