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researcher

Zhi Li

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV1
  • cs.NE1
  • eess.SY1
  • quant-ph1
ORCID 0000-0002-6998-9027
same name
  • Zhi Li — 12 papers, h 12
  • Zhi Li — 11 papers, h 15
  • Zhi Li — 7 papers, h 15
  • Zhi Li — 7 papers, h 16
  • Zhi Li — 6 papers, h 7
  • Zhi Li — 5 papers

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
20162024
most citedLearning Multi-Scale Deep Features for High-Resolution Satellite Image Classification

16 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2024★ 1 cited

Chaitin Phase Transition

James Purcell, Zhi Li, Toby Cubitt

We construct a family of Hamiltonians whose phase diagram is guaranteed to have a single phase transition, yet the location of this phase transition is uncomputable. The Hamiltonia…

cs.NE2024

Solving the Food-Energy-Water Nexus Problem via Intelligent Optimization Algorithms

Qi Deng, Zheng Fan, Zhi Li +3

The application of evolutionary algorithms (EAs) to multi-objective optimization problems has been widespread. However, the EA research community has not paid much attention to lar…

eess.SY2023★ 2 cited

Electric Vehicle Sales Forecasting Model Considering Green Premium: A Chinese Market-based Perspective

Zhi Li, Hang Fan, Shuyan Dong

"Green Premiums" which means the difference in cost between emissions-emitting technology and zero-emissions or emissions-reducing technology is significant for those renewable ene…

cs.CV2016★ 16 cited

Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification

Qingshan Liu, Renlong Hang, Huihui Song +1

In this paper, we propose a multi-scale deep feature learning method for high-resolution satellite image classification. Specifically, we firstly warp the original satellite image…

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