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Zhengyu Jin

4 papers hereh-index 3106 citations4 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.GT1
  • cs.IR1
same name
  • Zhengyu Jin — 1 paper, h 36
  • Zhengyu Jin — 1 paper, h 3
  • Zhengyu Jin — 1 paper, h 4

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 citedResearch on the Application of Deep Learning-based BERT Model in Sentiment Analysis

6 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.GT2026

Arbitrage-free Data Pricing

Yihang Wu, Zhengyu Jin, Yicheng Fu +2

We study optimal pricing of versioned data products when buyers can combine multiple purchases. A monopoly seller offers a menu of data products, and a buyer's value for data is th…

cs.IR2024★ 2 cited

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems

Chenxi Shi, Penghao Liang, Yichao Wu +2

The integration of LLMOps into personalized recommendation systems marks a significant advancement in managing LLM-driven applications. This innovation presents both opportunities…

cs.CL2024★ 6 cited

Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis

Yichao Wu, Zhengyu Jin, Chenxi Shi +2

This paper explores the application of deep learning techniques, particularly focusing on BERT models, in sentiment analysis. It begins by introducing the fundamental concept of se…

cs.CL2024★ 2 cited

Comprehensive Implementation of TextCNN for Enhanced Collaboration between Natural Language Processing and System Recommendation

Xiaonan Xu, Zheng Xu, Zhipeng Ling +2

Natural Language Processing (NLP) is an important branch of artificial intelligence that studies how to enable computers to understand, process, and generate human language. Text c…

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