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Junyu Dong

12 papers hereh-index 4131 citations28 works total

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

author position
  • middle author10
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.NI4
  • cs.AI1
  • cs.DB1
  • cs.SI1
same name
  • Junyu Dong — 58 papers, h 54
  • Junyu Dong — 23 papers, h 7
  • Junyu Dong — 11 papers, h 15
  • Junyu Dong — 10 papers, h 5
  • Junyu Dong — 9 papers, h 4
  • Junyu Dong — 7 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
20242026
most citedUMGAD: Unsupervised Multiplex Graph Anomaly Detection

3 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.NI2024

TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking

Haosheng He, Jianpeng Qi, Chao Liu +2

In compute-first networking, maintaining fresh and accurate status information at the network edge is crucial for effective access to remote services. This process typically involv…

cs.AI2024

AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning

Lixian Jing, Jianpeng Qi, Junyu Dong +1

As deep neural networks (DNNs) are increasingly deployed on edge devices, optimizing models for constrained computational resources is critical. Existing auto-pruning methods face…

cs.LG2024★ 3 cited

UMGAD: Unsupervised Multiplex Graph Anomaly Detection

Xiang Li, Jianpeng Qi, Zhongying Zhao +4

Graph anomaly detection (GAD) is a critical task in graph machine learning, with the primary objective of identifying anomalous nodes that deviate significantly from the majority.…

cs.LG2024

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion

Xiang Li, Changsheng Shui, Zhongying Zhao +2

Rating is a typical user explicit feedback that visually reflects how much a user likes a related item. The (rating) matrix completion is essentially a rating prediction process, w…

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