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Jiexiang Wang

4 papers hereh-index 5145 citations11 works total

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.NE1
  • cs.SI1
  • eess.SP1
  • q-bio.NC1
same name
  • Jiexiang Wang — 6 papers, h 7
  • Jiexiang Wang — 2 papers, h 2
  • Jiexiang Wang — 2 papers, h 2
  • Jiexiang Wang — 1 paper, h 3
  • Jiexiang Wang — 1 paper, h 1

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
20172023
most citedDigital Twin Brain: a simulation and assimilation platform for whole human brain

13 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

cs.NE2023★ 13 cited

Digital Twin Brain: a simulation and assimilation platform for whole human brain

Wenlian Lu, Longbin Zeng, Xin Du +12

In this work, we present a computing platform named digital twin brain (DTB) that can simulate spiking neuronal networks of the whole human brain scale and more importantly, a pers…

q-bio.NC2022★ 13 cited

Simulation and assimilation of the digital human brain

Wenlian Lu, Xin Du, Jiexiang Wang +7

Here, we present the Digital Brain (DB), a platform for simulating spiking neuronal networks at the large neuron scale of the human brain based on personalized magnetic-resonance-i…

eess.SP2019

Decentralized Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time Delays

Jiexiang Wang, Tao Li, Xiwei Zhang

We analyze convergence of decentralized cooperative online estimation algorithms by a network of multiple nodes via information exchanging in an uncertain environment. Each node ha…

cs.SI2017

Distributed Averaging With Random Network Graphs and Noises

Tao Li, Jiexiang Wang

We consider discrete-time distributed averaging algorithms over multi-agent networks with measurement noises and time-varying random graph flows. Each agent updates its state by re…

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