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Shuhang Chen

4 papers hereh-index 468 citations11 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.RO2
  • cs.IR1
  • cs.LG1
same name
  • Shuhang Chen — 8 papers, h 9
  • Shuhang Chen — 3 papers, h 1
  • Shuhang Chen — 2 papers, h 2
  • Shuhang Chen — 2 papers, h 2
  • Shuhang Chen — 1 paper, h 5
  • Shuhang Chen — 1 paper, h 2

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
20232026
most citedGRID: A Platform for General Robot Intelligence Development

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction

Linyong Gan, Zimo Li, Wenxin Xu +4

Accurate long-horizon vessel trajectory prediction remains challenging due to compounded uncertainty from complex navigation behaviors and environmental factors. Existing methods o…

cs.IR2025

Align3GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation

Wencai Ye, Mingjie Sun, Shuhang Chen +2

Large Language Models (LLMs) demonstrate significant advantages in leveraging structured world knowledge and multi-step reasoning capabilities. However, fundamental challenges aris…

cs.LG2024★ 1 cited

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang

Stochastic approximation is a class of algorithms that update a vector iteratively, incrementally, and stochastically, including, e.g., stochastic gradient descent and temporal dif…

cs.RO2023★ 1 cited

GRID: A Platform for General Robot Intelligence Development

Sai Vemprala, Shuhang Chen, Abhinav Shukla +2

Developing machine intelligence abilities in robots and autonomous systems is an expensive and time consuming process. Existing solutions are tailored to specific applications and…

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