◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xiaotong Liu

4 papers hereh-index 360 citations5 works total

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

author position
  • middle author4

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

fields
  • cs.RO2
  • cs.CV1
  • cs.LG1
same name
  • Xiaotong Liu — 9 papers, h 5
  • Xiaotong Liu — 4 papers, h 7
  • Xiaotong Liu — 3 papers, h 12
  • Xiaotong Liu — 2 papers, h 2
  • Xiaotong Liu — 2 papers, h 8
  • Xiaotong Liu — 1 paper, h 10

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
20192026
most citedPolicy Continuation with Hindsight Inverse Dynamics

7 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

Rethinking Camera Choice: An Empirical Study on Fisheye Camera Properties in Robotic Manipulation

Han Xue, Nan Min, Xiaotong Liu +5

The adoption of fisheye cameras in robotic manipulation, driven by their exceptionally wide Field of View (FoV), is rapidly outpacing a systematic understanding of their downstream…

cs.CV2026

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving

Linhan Wang, Zichong Yang, Chen Bai +6

End-to-end autonomous driving increasingly leverages self-supervised video pretraining to learn transferable planning representations. However, pretraining video world models for s…

cs.RO2025★ 6 cited

NavigScene: Bridging Local Perception and Global Navigation for Beyond-Visual-Range Autonomous Driving

Qucheng Peng, Chen Bai, Guoxiang Zhang +5

Autonomous driving systems have made significant advances in Q&A, perception, prediction, and planning based on local visual information, yet they struggle to incorporate broader n…

cs.LG2019★ 7 cited

Policy Continuation with Hindsight Inverse Dynamics

Hao Sun, Zhizhong Li, Xiaotong Liu +2

Solving goal-oriented tasks is an important but challenging problem in reinforcement learning (RL). For such tasks, the rewards are often sparse, making it difficult to learn a pol…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.