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Freddy Chongtat Chua

Ernst & Young AI Lab

4 papers hereh-index 10456 citations27 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.CL1
  • cs.DC1
  • cs.NI1
  • cs.SI1
affiliations
  • Ernst & Young AI Lab
Homepage

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedCollective Semi-Supervised Learning for User Profiling in Social Media

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2021

DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction

Freddy C. Chua, Nigel P. Duffy

We address the challenge of extracting structured information from business documents without detailed annotations. We propose Deep Conditional Probabilistic Context Free Grammars…

cs.SI2016★ 4 cited

Collective Semi-Supervised Learning for User Profiling in Social Media

Richard J. Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua +2

The abundance of user-generated data in social media has incentivized the development of methods to infer the latent attributes of users, which are crucially useful for personaliza…

cs.NI2016

Stringer: Balancing Latency and Resource Usage in Service Function Chain Provisioning

Freddy C. Chua, Julie Ward, Ying Zhang +2

Network Functions Virtualization, or NFV, enables telecommunications infrastructure providers to replace special-purpose networking equipment with commodity servers running virtual…

cs.DC2015

Partitioning Uncertain Workflows

Bernardo A. Huberman, Freddy C. Chua

It is common practice to partition complex workflows into separate channels in order to speed up their completion times. When this is done within a distributed environment, unavoid…

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