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researcher

C. Wang

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.DS2
  • physics.med-ph1
  • quant-ph1
same name
  • C. Wang — 230 papers
  • C. Wang — 56 papers, h 80
  • C. Wang — 54 papers, h 29
  • C. Wang — 28 papers, h 34
  • C. Wang — 21 papers, h 62
  • C. Wang — 17 papers, h 18

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
20182020
most citedAn interpretable planning bot for pancreas stereotactic body radiation therapy

9 citations · 9 across the 1 of their papers we have counts for

collaborators

4 papers

physics.med-ph2020★ 9 cited

An interpretable planning bot for pancreas stereotactic body radiation therapy

Jiahan Zhang, Chunhao Wang, Yang Sheng +9

Pancreas stereotactic body radiotherapy treatment planning requires planners to make sequential, time consuming interactions with the treatment planning system (TPS) to reach the o…

quant-ph2019

On the Quantum Complexity of Closest Pair and Related Problems

Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin +2

The closest pair problem is a fundamental problem of computational geometry: given a set of n points in a d-dimensional space, find a pair with the smallest distance. A classic…

cs.DS2019

Quantum-inspired sublinear algorithm for solving low-rank semidefinite programming

Nai-Hui Chia, Tongyang Li, Han-Hsuan Lin +1

Semidefinite programming (SDP) is a central topic in mathematical optimization with extensive studies on its efficient solvers. In this paper, we present a proof-of-principle subli…

cs.DS2018

Quantum-inspired sublinear classical algorithms for solving low-rank linear systems

Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang

We present classical sublinear-time algorithms for solving low-rank linear systems of equations. Our algorithms are inspired by the HHL quantum algorithm for solving linear systems…

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