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Yiyang Li

15 papers hereh-index 5115 citations20 works total

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

author position
  • first author6
  • middle author7

Across the 13 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.LG4
  • cs.AI2
  • cs.CV1
  • cs.DL1
  • cs.HC1
same name
  • Yiyang Li — 11 papers, h 12
  • Yiyang Li — 6 papers, h 5
  • Yiyang Li — 5 papers, h 5
  • Yiyang Li — 3 papers
  • Yiyang Li — 2 papers, h 6
  • Yiyang Li — 2 papers, h 8

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 citedGraph Foundation Models: A Comprehensive Survey

3 citations · 5 across the 14 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

ProPlay: Procedural World Models for Self-Evolving LLM Agents

Yijun Ma, Zehong Wang, Yiyang Li +5

Self-evolving agents are expected to improve through interaction without external supervision, but this remains difficult in partially observable environments where agents must exp…

cs.LG2026

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Tianyi Ma, Yiyang Li, Yiyue Qian +4

The opioid epidemic continues to ravage communities worldwide, straining healthcare systems, disrupting families, and demanding urgent computational solutions. To combat this letha…

cs.LG2025

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Yiyang Li, Zehong Wang, Zhengqing Yuan +4

Illicit drug use among teenagers and young adults (TYAs) remains a pressing public health concern, with rising prevalence and long-term impacts on health and well-being. To detect…

cs.LG2025★ 3 cited

Graph Foundation Models: A Comprehensive Survey

Zehong Wang, Zheyuan Liu, Tianyi Ma +16

Graph-structured data pervades domains such as social networks, biological systems, knowledge graphs, and recommender systems. While foundation models have transformed natural lang…

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