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researcher

Zhiguang Wang

4 papers hereh-index 214.8k citations88 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.LG2
  • cs.CL1
  • cs.DC1
same name
  • Zhiguang Wang — 5 papers
  • Zhiguang Wang — 4 papers, h 5
  • Zhiguang Wang — 2 papers, h 30
  • Zhiguang Wang — 2 papers, h 5
  • Zhiguang Wang — 1 paper

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
20152020
most citedImaging Time-Series to Improve Classification and Imputation

482 citations · 511 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2020

Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity

Pedro Rodriguez, Paul Crook, Seungwhan Moon +1

Open-ended human learning and information-seeking are increasingly mediated by digital assistants. However, such systems often ignore the user's pre-existing knowledge. Assuming a…

cs.DC2017★ 29 cited

Automated Cloud Provisioning on AWS using Deep Reinforcement Learning

Zhiguang Wang, Chul Gwon, Tim Oates +1

As the use of cloud computing continues to rise, controlling cost becomes increasingly important. Yet there is evidence that 30\% - 45\% of cloud spend is wasted. Existing tools fo…

cs.LG2015

Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series

Wei Song, Zhiguang Wang, Yangdong Ye +1

Symbolic Aggregation approXimation (SAX) has been the de facto standard representation methods for knowledge discovery in time series on a number of tasks and applications. So far,…

cs.LG2015★ 482 cited

Imaging Time-Series to Improve Classification and Imputation

Zhiguang Wang, Tim Oates

Inspired by recent successes of deep learning in computer vision, we propose a novel framework for encoding time series as different types of images, namely, Gramian Angular Summat…

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