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Yufei Li

14 papers hereh-index 10216 citations16 works total

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

author position
  • first author7
  • middle author6

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.LG4
  • cs.RO3
  • cs.SE2
same name
  • Yufei Li — 9 papers, h 2
  • Yufei Li — 7 papers, h 2
  • Yufei Li — 4 papers, h 4
  • Yufei Li — 4 papers, h 2
  • Yufei Li — 2 papers, h 1
  • Yufei Li — 2 papers, h 2

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
20212025
most citedGLIB: Towards Automated Test Oracle for Graphically-Rich Applications

30 citations · 37 across the 14 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

Mixtraining: A Better Trade-Off Between Compute and Performance

Zexin Li, Jiancheng Zhang, Yufei Li +2

Incorporating self-supervised learning (SSL) before standard supervised learning (SL) has become a widely used strategy to enhance model performance, particularly in data-limited s…

cs.LG2023★ 1 cited

RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models

Yufei Li, Zexin Li, Wei Yang +1

Recent advancements in language models (LMs) have gained substantial attentions on their capability to generate human-like responses. Though exhibiting a promising future for vario…

cs.LG2023★ 1 cited

GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection

Yufei Li, Yanchi Liu, Haoyu Wang +6

Logs play a crucial role in system monitoring and debugging by recording valuable system information, including events and states. Although various methods have been proposed to de…

cs.LG2021★ 2 cited

Estimating Predictive Uncertainty Under Program Data Distribution Shift

Yufei Li, Simin Chen, Wei Yang

Deep learning (DL) techniques have achieved great success in predictive accuracy in a variety of tasks, but deep neural networks (DNNs) are shown to produce highly overconfident sc…

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