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Liu Yang

6 papers hereh-index 335 citations6 works total

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

author position
  • middle author3
  • last author3

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

fields
  • cs.LG4
  • cs.RO2
same name
  • Liu Yang — 20 papers, h 58
  • Liu Yang — 17 papers, h 14
  • Liu Yang — 16 papers, h 9
  • Liu Yang — 15 papers, h 14
  • Liu Yang — 14 papers, h 15
  • Liu Yang — 11 papers, h 13

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
20242026
most citedA Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.RO2026

VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network

Song Chen, Linyan Xiang, Ying Zhou +1

Generalizable robot manipulation requires not only task-level reasoning over unseen scenes, but also reliable grounding of visual plans into embodiment-specific execution. To bridg…

cs.LG2026

Chain of Operators: An Inference-Time Harness for In-Context Operator Learning

Minghui Yang, Chenghan Wu, Ling Guo +1

While scientific foundation models show immense promise in accelerating physical simulations and numerical forecasting, they remain notoriously brittle when encountering out-of-dis…

cs.RO2026

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement

Yutong Shen, Hangxu Liu, Lei Zhang +4

Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across do…

cs.LG2026

Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

Chenghan Wu, Zongmin Yu, Boai Sun +1

In-context operator learning enables neural networks to infer solution operators from contextual examples without weight updates. While prior work has demonstrated the effectivenes…

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