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Boyuan Chen

14 papers here

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

author position
  • first author5
  • middle author6

Across the 11 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.SE3
  • cs.HC2
  • cs.CR1
  • cs.CV1
  • cs.RO1
ORCID 0000-0001-9103-5820
same name
  • Boyuan Chen — 9 papers, h 12
  • Boyuan Chen — 9 papers, h 7
  • Boyuan Chen — 6 papers, h 10
  • Boyuan Chen — 5 papers, h 3
  • Boyuan Chen — 5 papers, h 4
  • Boyuan Chen — 4 papers

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
20202026
most citedTowards Training Reproducible Deep Learning Models

47 citations · 151 across the 14 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023★ 1 cited

Self-Supervised Reinforcement Learning that Transfers using Random Features

Boyuan Chen, Chuning Zhu, Pulkit Agrawal +2

Model-free reinforcement learning algorithms have exhibited great potential in solving single-task sequential decision-making problems with high-dimensional observations and long h…

cs.LG2022★ 47 cited

Towards Training Reproducible Deep Learning Models

Boyuan Chen, Mingzhi Wen, Yong Shi +4

Reproducibility is an increasing concern in Artificial Intelligence (AI), particularly in the area of Deep Learning (DL). Being able to reproduce DL models is crucial for AI-based…

cs.LG2022★ 29 cited

Towards a consistent interpretation of AIOps models

Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin +3

Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations in various tasks, including interpreting models to identify indicators of service failures. To a…

cs.LG2021

Beyond Categorical Label Representations for Image Classification

Boyuan Chen, Yu Li, Sunand Raghupathi +1

We find that the way we choose to represent data labels can have a profound effect on the quality of trained models. For example, training an image classifier to regress audio labe…

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