World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
17213
World Ranking
1796
National Ranking
250

Overview

Yue Zhang is affiliated with Westlake University in China and has a substantial body of research within computer science, particularly in artificial intelligence. Their work encompasses a wide range of subfields including computer vision and pattern recognition, molecular biology, electrical and electronic engineering, and management science and operations research.

Their research has concentrated on several main topics:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining

Yue Zhang has contributed numerous publications to prominent venues, including:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • ACM Transactions on Asian and Low-Resource Language Information Processing

Some recent representative papers authored by or closely associated with Yue Zhang include:

  • "A Survey on Evaluation of Large Language Models" (2024), ACM Transactions on Intelligent Systems and Technology
  • "Latent Emotion Memory for Multi-Label Emotion Classification" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Evaluating Commonsense in Pre-Trained Language Models" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs" (2020), arXiv (Cornell University)
  • "Topic-Enhanced Capsule Network for Multi-Label Emotion Classification" (2020), IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent collaborators in Yue Zhang's research include:

  • Zhiyang Teng
  • Leyang Cui
  • Yafu Li
  • Yulong Chen
  • Guangsheng Bao

In addition to journal and conference papers, Yue Zhang has contributed to book publications, with works published through Cambridge University Press and Springer Science+Business Media. Notable books include "Natural Language Processing" (2020) and "Chinese Computational Linguistics" (2020).

Best Publications

  • Chinese NER Using Lattice LSTM

    Yue Zhang;Jie Yang

  • Deep learning for event-driven stock prediction

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • Transition-based Dependency Parsing with Rich Non-local Features

    Yue Zhang;Joakim Nivre

  • A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing

    Yue Zhang;Stephen Clark

  • Target-dependent twitter sentiment classification with rich automatic features

    Duy-Tin Vo;Yue Zhang

  • The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language

    Björn W. Schuller;Björn W. Schuller;Stefan Steidl;Anton Batliner;Anton Batliner;Julia Hirschberg

  • Template-Based Named Entity Recognition Using BART

    Leyang Cui;Yu Wu;Jian Liu;Sen Yang

  • Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • Gated neural networks for targeted sentiment analysis

    Meishan Zhang;Yue Zhang;Duy-Tin Vo

  • Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring

    Fei Dong;Yue Zhang;Jie Yang

  • Syntactic processing using the generalized perceptron and beam search

    Yue Zhang;Stephen Clark

  • A tale of two parsers: investigating and combining graph-based and transition-based dependency parsing using beam-search

    Yue Zhang;Stephen Clark

  • A Graph-to-Sequence Model for AMR-to-Text Generation

    Linfeng Song;Yue Zhang;Zhiguo Wang;Daniel Gildea

  • Sentence-State LSTM for Text Representation

    Yue Zhang;Qi Liu;Linfeng Song

  • Fast and Accurate Shift-Reduce Constituent Parsing

    Muhua Zhu;Yue Zhang;Wenliang Chen;Min Zhang

  • Attention Modeling for Targeted Sentiment.

    Jiangming Liu;Yue Zhang

  • NCRF++: An Open-source Neural Sequence Labeling Toolkit

    Jie Yang;Yue Zhang

  • Neural Networks for Open Domain Targeted Sentiment

    Meishan Zhang;Yue Zhang;Duy Tin Vo

  • Automatic Features for Essay Scoring – An Empirical Study

    Fei Dong;Yue Zhang

  • End-to-End Neural Relation Extraction with Global Optimization

    Meishan Zhang;Yue Zhang;Guohong Fu

  • N-ary Relation Extraction using Graph-State LSTM

    Linfeng Song;Yue Zhang;Zhiguo Wang;Daniel Gildea

  • DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

    Yulong Chen;Yang Liu;Liang Chen;Yue Zhang

Frequent Co-Authors

Daniel Gildea
Daniel Gildea University of Rochester
Donghong Ji
Donghong Ji Wuhan University
Ting Liu
Ting Liu Harbin Institute of Technology
Wanxiang Che
Wanxiang Che Harbin Institute of Technology
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Mo Yu
Mo Yu IBM (United States)
Jinsong Su
Jinsong Su Xiamen University
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications
Yu Wu
Yu Wu Microsoft Research Asia (China)

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