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Tong Zhan

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CL2
  • cs.IR1
  • q-bio.BM1
same name
  • Tong Zhan — 5 papers
  • Tong Zhan — 2 papers, h 1
  • Tong Zhan — 1 paper, h 3

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 · 8 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

Tong Zhan, Chenxi Shi, Yadong Shi +2

With the rapid development of natural language processing (NLP) technology, large-scale pre-trained language models such as GPT-3 have become a popular research object in NLP field…

q-bio.BM2024

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models

Yanlin Zhou, Tong Zhan, Yichao Wu +2

The Human Genome Project has led to an exponential increase in data related to the sequence, structure, and function of biomolecules. Bioinformatics is an interdisciplinary researc…

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…

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