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Congyun Jin

3 papers hereh-index 221 citations5 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedGACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction

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

collaborators

3 papers

cs.CV2026

PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis

Jiao Xu, Junwei Liu, Jiangwei Lao +9

Recent advances in medical multi-modal models focus on specialized image analysis like dermatology, pathology, or radiology. However, they do not fully capture the complexity of re…

cs.CL2024★ 1 cited

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning

Congyun Jin, Ming Zhang, Xiaowei Ma +13

Recent advancements in Large Language Models (LLMs) and Large Multi-modal Models (LMMs) have shown potential in various medical applications, such as Intelligent Medical Diagnosis.…

cs.IR2024★ 2 cited

GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction

Haowen Wang, Yuliang Du, Congyun Jin +5

Predicting click-through rate (CTR) is the core task of many ads online recommendation systems, which helps improve user experience and increase platform revenue. In this type of r…

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