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Yuhan Chen

4 papers hereh-index 3145 citations6 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.CV2
  • cs.AI1
  • cs.LG1
same name
  • Yuhan Chen — 13 papers, h 2
  • Yuhan Chen — 11 papers, h 7
  • Yuhan Chen — 8 papers, h 6
  • Yuhan Chen — 4 papers, h 2
  • Yuhan Chen — 3 papers, h 8
  • Yuhan Chen — 3 papers, h 4

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 citedPirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

25 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Limit Analysis for Symbolic Multi-step Reasoning Tasks with Information Propagation Rules Based on Transformers

Tian Qin, Yuhan Chen, Zhiwei Wang +1

Transformers are able to perform reasoning tasks, however the intrinsic mechanism remains widely open. In this paper we propose a set of information propagation rules based on Tran…

cs.CV2025

PMGS: Reconstruction of Projectile Motion Across Large Spatiotemporal Spans via 3D Gaussian Splatting

Yijun Xu, Jingrui Zhang, Yuhan Chen +3

Modeling complex rigid motion across large spatiotemporal spans remains an unresolved challenge in dynamic reconstruction. Existing paradigms are mainly confined to short-term, sma…

cs.CV2025★ 1 cited

VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation

Bo Pan, Yixiao Fu, Ke Wang +15

Data visualization generation using Large Language Models (LLMs) has shown promising results but often produces suboptimal visualizations that require human intervention for improv…

cs.LG2024★ 25 cited

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Sifan Wang, Bowen Li, Yuhan Chen +1

While physics-informed neural networks (PINNs) have become a popular deep learning framework for tackling forward and inverse problems governed by partial differential equations (P…

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