Type
Funder
Country
—
Documents
142
through any edge
Papers
0
authorship edges
Awards made
26
24 grant numbers
Named as funder
142
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Huawei Technologies has funded
26 awards under 24 distinct grant numbers, across 23 documents. A further 142 documents name it as a funder without a grant number — a weaker claim, counted separately.
DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Schedulinggrant 20201300729 · 2021-10-06DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Schedulinggrant 20202001593 · 2021-10-06Bayesian learning via neural Schrödinger–Föllmer flowsgrant EP/R018413/2 · 2022-11-23Bayesian learning via neural Schrödinger–Föllmer flowsgrant EP/T000414/1 · 2022-11-23A Method for Inversion of Electrical Parameters of Materials Based on Ray Tracing Algorithm and Stochastic Gradient Descent Methodgrant YBN2020085042 · 2021-12-01A Survey on Text-Dependent and Text-Independent Speaker Verificationgrant TC20210903021 · 2022-01-01Position-Aware Subgraph Neural Networks with Data-Efficient Learninggrant TC20201012001 · 2023-02-22How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Modelsgrant TC20210512018 · 2023-04-07Learning Second-Order Attentive Context for Efficient Correspondence Pruninggrant YBN2020085023 · 2023-06-26Degree-Aware Graph Neural Network Quantizationgrant YBN2020035002 · 2023-11-02
10 of 168 funding edges