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Shuicheng Yan

23 papers hereh-index 7584 citations23 works total

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

author position
  • middle author6
  • last author17

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.AI5
  • cs.CV4
  • cs.LG3
  • cs.CR1
  • cs.MA1
same name
  • Shuicheng Yan — 165 papers, h 142
  • Shuicheng Yan — 29 papers, h 6
  • Shuicheng Yan — 26 papers, h 16
  • Shuicheng Yan — 18 papers, h 10
  • Shuicheng Yan — 17 papers, h 6
  • Shuicheng Yan — 15 papers, h 14

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 citedMemory in the Age of AI Agents

1 citations · 3 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding

Hongyu Qu, Guangming Yao, Ling Xing +7

Streaming video understanding requires multimodal large language models (MLLMs) to process continuous visual inputs and respond to user queries under strict causality and bounded m…

cs.CV2026

Quo Vadis, World Modeling?

Yu Yang, Xuemeng Yang, Licheng Wen +17

Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environment interaction is costly, slow, unsafe, and hard to paralleliz…

cs.CV2026

DrawMotion: Generating 3D Human Motions by Freehand Drawing

Tao Wang, Lei Jin, Zhihua Wu +7

Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions throug…

cs.CV2026

Tracking the Truth: Object-Centric Spatio-Temporal Monitoring for Video Large Language Models

Tri Cao, Khoi Le, Thong Nguyen +7

While multimodal large language models (MLLMs) have advanced video understanding, they remain highly prone to hallucinations in dynamic scenes. We argue this stems from a failure i…

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