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researcher

W. Fan

4 papers hereh-index 33.3k citations9 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.AI1
  • cs.CL1
  • cs.CY1
  • cs.SE1
same name
  • W. Fan — 89 papers
  • W. Fan — 83 papers, h 26
  • W. Fan — 24 papers, h 10
  • W. Fan — 12 papers, h 13
  • W. Fan — 10 papers, h 27
  • W. Fan — 9 papers, h 11

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 citedMulti-modal Traffic Scenario Generation for Autonomous Driving System Testing

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

collaborators

4 papers

cs.CY2026

AppellateGen: A Benchmark for Appellate Legal Judgment Generation

Hongkun Yang, Lionel Z. Wang, Wei Fan +10

Legal judgment generation is a critical task in legal intelligence. However, existing research in legal judgment generation has predominantly focused on first-instance trials, rely…

cs.CL2025

TCM-Eval: An Expert-Level Dynamic and Extensible Benchmark for Traditional Chinese Medicine

Zihao Cheng, Yuheng Lu, Huaiqian Ye +10

Large Language Models (LLMs) have demonstrated remarkable capabilities in modern medicine, yet their application in Traditional Chinese Medicine (TCM) remains severely limited by t…

cs.AI2025

Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM Agents

Tao Zhe, Rui Liu, Fateme Memar +5

Route recommendation aims to provide users with optimal travel plans that satisfy diverse and complex requirements. Classical routing algorithms (e.g., shortest-path and constraint…

cs.SE2025★ 1 cited

Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing

Zhi Tu, Liangkun Niu, Wei Fan +1

Autonomous driving systems (ADS) require extensive testing and validation before deployment. However, it is tedious and time-consuming to construct traffic scenarios for ADS testin…

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