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researcher

D. Zeng

4 papers hereh-index 365.5k citations264 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.LG2
  • cs.IR1
  • q-fin.ST1
same name
  • D. Zeng — 24 papers, h 56
  • D. Zeng — 8 papers, h 24
  • D. Zeng — 8 papers, h 5
  • D. Zeng — 5 papers, h 10
  • D. Zeng — 5 papers, h 18
  • D. Zeng — 3 papers, h 29

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
20132019
most citedEvolutionary dynamics of cryptocurrency transaction networks: An empirical study

101 citations · 104 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2019

Spread-gram: A spreading-activation schema of network structural learning

Jie Bai, Linjing Li, Daniel Zeng

Network representation learning has exploded recently. However, existing studies usually reconstruct networks as sequences or matrices, which may cause information bias or sparsity…

q-fin.ST2018★ 101 cited

Evolutionary dynamics of cryptocurrency transaction networks: An empirical study

Jiaqi Liang, Linjing Li, Daniel Zeng

Cryptocurrency is a well-developed blockchain technology application that is currently a heated topic throughout the world. The public availability of transaction histories offers…

cs.LG2017★ 2 cited

Multi-Label Annotation Aggregation in Crowdsourcing

Xuan Wei, Daniel Dajun Zeng, Junming Yin

As a means of human-based computation, crowdsourcing has been widely used to annotate large-scale unlabeled datasets. One of the obvious challenges is how to aggregate these possib…

cs.IR2013★ 1 cited

The Powerful Model Adpredictor for Search Engine Switching Detection Challenge

Heng Gao, Yongbao Li, Qiudan Li +1

The purpose of the Switching Detection Challenge in the 2013 WSCD workshop was to predict users' search engine swithcing actions given records about search sessions and logs.Our so…

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