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researcher

Ming Liu

17 papers here

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

author position
  • middle author4
  • last author13

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • cs.CV5
  • cs.ET1
ORCID 0000-0002-4500-238X
same name
  • Ming Liu — 67 papers, h 87
  • Ming Liu — 57 papers, h 49
  • Ming Liu — 43 papers, h 12
  • Ming Liu — 29 papers, h 8
  • Ming Liu — 24 papers, h 9
  • Ming Liu — 24 papers, h 6

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
20162024
most citedCuriosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

83 citations · 344 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.RO2021★ 1 cited

DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks

Peide Cai, Hengli Wang, Yuxiang Sun +1

Autonomous driving in multi-agent dynamic traffic scenarios is challenging: the behaviors of road users are uncertain and are hard to model explicitly, and the ego-vehicle should a…

cs.CV2021★ 1 cited

CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images

Zhenhua Xu, Yuxiang Sun, Lujia Wang +1

Road curb detection is important for autonomous driving. It can be used to determine road boundaries to constrain vehicles on roads, so that potential accidents could be avoided. M…

cs.RO2021★ 4 cited

Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars

Xiaodong Mei, Yuxiang Sun, Yuying Chen +2

In autonomous driving, navigation through unsignaled intersections with many traffic participants moving around is a challenging task. To provide a solution to this problem, we pro…

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