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researcher

Shuo Feng

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • cs.RO1
  • eess.SY1
ORCID 0000-0001-7855-0991
same name
  • Shuo Feng — 9 papers
  • Shuo Feng — 2 papers, h 11
  • Shuo Feng — 1 paper, h 4
  • Shuo Feng — 1 paper
  • Shuo Feng — 1 paper, h 1
  • Shuo Feng — 1 paper

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 cited"Curse of rarity" for autonomous vehicles

9 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision

Shuo Feng, Piji Li

Ancient Chinese word segmentation (WSG) and part-of-speech tagging (POS) are important to study ancient Chinese, but the amount of ancient Chinese WSG and POS tagging data is still…

eess.SY2022

Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios

Jingxuan Yang, Honglin He, Yi Zhang +2

Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs). Due to the black-box property and various types of CAVs, how…

cs.CV2022

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

Yixiong Liang, Shuo Feng, Qing Liu +5

Cervical abnormal cell detection is a challenging task as the morphological discrepancies between abnormal and normal cells are usually subtle. To determine whether a cervical cell…

cs.RO2022★ 9 cited

"Curse of rarity" for autonomous vehicles

Henry X. Liu, Shuo Feng

In this paper, we reveal that the rarity of safety-critical events in high-dimensional driving environments is the root cause of the safety challenge for autonomous vehicle develop…

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