World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6168
World Ranking
9358
National Ranking
585

Overview

Dawei Song is affiliated with The Open University in the United Kingdom and has an extensive publication record primarily within the field of Computer Science. Their research focuses on several interconnected subfields, notably Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Experimental and Cognitive Psychology.

The main topics addressed in Dawei Song's work include:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Advancements in Battery Materials
  • Emotion and Mood Recognition

Their recent papers illustrate a focus on multimodal analysis, emotion recognition, and text generation methodologies. Selected recent publications are:

  • "EEG Based Emotion Recognition: A Tutorial and Review" (2022), published in ACM Computing Surveys
  • "A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models" (2023), published in ACM Computing Surveys
  • "A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis" (2020), published in Information Fusion
  • "What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis" (2020), published in Information Fusion
  • "CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations" (2021), published in IEEE Transactions on Fuzzy Systems

Dawei Song frequently collaborates with several scholars, among whom the most frequent co-authors are:

  • Yazhou Zhang
  • Qiuchi Li
  • Benyou Wang
  • Prayag Tiwari
  • Chen Zhang

Their work appears in a variety of publication venues, including:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • Information Fusion
  • SSRN Electronic Journal
  • ACM Transactions on Information Systems

Dawei Song's contributions span over 168 publications in Computer Science, with the majority of studies focusing on Artificial Intelligence. The research encompasses topics such as the development and application of multimodal machine learning, emotion and mood recognition techniques, and advanced natural language processing approaches, reflecting a multidisciplinary approach bridging computational and cognitive domains.

Best Publications

  • Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks.

    Chen Zhang;Qiuchi Li;Dawei Song

  • Exploring EEG Features in Cross-Subject Emotion Recognition

    Xiang Li;Dawei Song;Peng Zhang;Yazhou Zhang

  • Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network

    Xiang Li;Dawei Song;Peng Zhang;Guangliang Yu

  • Query expansion using term relationships in language models for information retrieval

    Jing Bai;Dawei Song;Peter Bruza;Jian-Yun Nie

  • Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning

    R.Y.K. Lau;Dawei Song;Yuefeng Li;T.C.H. Cheung

  • Towards context sensitive information inference

    D. Song;P. D. Bruza

  • A Multi-task Learning Framework for Opinion Triplet Extraction

    Chen Zhang;Qiuchi Li;Dawei Song;Benyou Wang

  • Comparing dissimilarity measures for content-based image retrieval

    Haiming Liu;Dawei Song;Stefan Rüger;Rui Hu

  • Advances in Information Retrieval Theory

    Leif Azzopardi;Gabriella Kazai;Stephen Robertson;Stefan Rüger

  • A quantum-inspired multimodal sentiment analysis framework

    Yazhou Zhang;Dawei Song;Dawei Song;Peng Zhang;Panpan Wang

  • A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis

    Yazhou Zhang;Dawei Song;Dawei Song;Xiang Li;Peng Zhang

  • Quantum-like non-separability of concept combinations, emergent associates and abduction

    Peter D. Bruza;Kirsty Kitto;Brentyn J. Ramm;Laurianne Sitbon

  • Concept-based document readability in domain specific information retrieval

    Xin Yan;Dawei Song;Xue Li

  • What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

    Dimitrios Gkoumas;Qiuchi Li;Christina Lioma;Yijun Yu

  • CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations

    Yazhou Zhang;Yaochen Liu;Qiuchi Li;Prayag Tiwari

  • Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis.

    Yazhou Zhang;Prayag Tiwari;Dawei Song;Xiaoliu Mao

  • End-to-End Quantum-like Language Models with Application to Question Answering

    Peng Zhang;Jiabin Niu;Zhan Su;Benyou Wang

  • User-Adaptive Sketch-Based 3-D CAD Model Retrieval

    Yong-Jin Liu;Xi Luo;A. Joneja;Cui-Xia Ma

  • Aboutness from a commonsense perspective

    P. D. Bruza;D. W. Song;K. F. Wong

  • Towards a belief-revision-based adaptive and context-sensitive information retrieval system

    Raymond Y. K. Lau;Peter D. Bruza;Dawei Song

  • Automatically structuring domain knowledge from text: An overview of current research

    Malcolm Clark;Yunhyong Kim;Udo Kruschwitz;Dawei Song

  • EEG Based Emotion Identification Using Unsupervised Deep Feature Learning

    Xiang Li;Peng Zhang;Dawei Song;Guangliang Yu

  • Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis.

    Yazhou Zhang;Qiuchi Li;Dawei Song;Dawei Song;Peng Zhang

  • A Tensorized Transformer for Language Modeling

    Xindian Ma;Peng Zhang;Shuai Zhang;Nan Duan

Frequent Co-Authors

Peter Bruza
Peter Bruza Queensland University of Technology
Jun Wang
Jun Wang University College London
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Bin Hu
Bin Hu Lanzhou University
Zi Huang
Zi Huang University of Queensland
Kam-Fai Wong
Kam-Fai Wong Chinese University of Hong Kong
Xue Li
Xue Li University of Queensland
Leif Azzopardi
Leif Azzopardi University of Strathclyde
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology

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