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researcher

Yinhai Wang

6 papers here

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

author position
  • last author6

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

fields
  • cs.CV2
  • cs.AI1
  • cs.CY1
  • cs.MA1
  • cs.RO1
ORCID 0000-0002-4180-5628
same name
  • Yinhai Wang — 15 papers
  • Yinhai Wang — 3 papers, h 20
  • Yinhai Wang — 2 papers
  • Yinhai Wang — 2 papers
  • Yinhai Wang — 1 paper, h 8

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
20192024
most citedBEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning

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

collaborators

4 papers

cs.LG2023

Data-driven Traffic Simulation: A Comprehensive Review

Di Chen, Meixin Zhu, Hao Yang +2

Autonomous vehicles (AVs) have the potential to significantly revolutionize society by providing a secure and efficient mode of transportation. Recent years have witnessed notable…

cs.AI2022★ 2 cited

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer

Meixin Zhu, Simon S. Du, Xuesong Wang +4

Car-following refers to a control process in which the following vehicle (FV) tries to keep a safe distance between itself and the lead vehicle (LV) by adjusting its acceleration i…

cs.CV2021★ 2 cited

Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection

Yifan Zhuang, Ziyuan Pu, Jia Hu +1

Accurate and efficient pedestrian detection is crucial for the intelligent transportation system regarding pedestrian safety and mobility, e.g., Advanced Driver Assistance Systems,…

cs.CY2019

Personalized Context-Aware Multi-Modal Transportation Recommendation

Meixin Zhu, Jingyun Hu, Hao +3

This study proposes to find the most appropriate transport modes with awareness of user preferences (e.g., costs, times) and trip characteristics (e.g., purpose, distance). The wor…

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