◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kefeng Deng

6 papers hereh-index 436 citations6 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CL2
same name
  • Kefeng Deng — 3 papers, h 17
  • Kefeng Deng — 2 papers, h 3

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

most citedGraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

5 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021★ 2 cited

MANDERA: Malicious Node Detection in Federated Learning via Ranking

Wanchuang Zhu, Benjamin Zi Hao Zhao, Simon Luo +2

Byzantine attacks hinder the deployment of federated learning algorithms. Although we know that the benign gradients and Byzantine attacked gradients are distributed differently, t…

cs.LG2021

ExamGAN and Twin-ExamGAN for Exam Script Generation

Zhengyang Wu, Ke Deng, Judy Qiu +1

Nowadays, the learning management system (LMS) has been widely used in different educational stages from primary to tertiary education for student administration, documentation, tr…

cs.LG2021★ 5 cited

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

Yongchao Liu, Houyi Li, Guowei Zhang +8

Graph neural networks (GNNs) have been demonstrated as a powerful tool for analyzing non-Euclidean graph data. However, the lack of efficient distributed graph learning systems sev…

cs.LG2019★ 1 cited

NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques

Wenlei Bao, Li-Wen Chang, Yang Chen +4

Quantization has emerged to be an effective way to significantly boost the performance of deep neural networks (DNNs) by utilizing low-bit computations. Despite having lower numeri…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.