World's Best Scientists 2026 revealed!

Overview

Ruifeng Xu is affiliated with the Harbin Institute of Technology in China. Their primary field of research is Computer Science, with a substantial focus on Artificial Intelligence. Additionally, their work covers subfields such as Computer Vision and Pattern Recognition, Management Science and Operations Research, Media Technology, and Information Systems.

The researcher's work addresses various topics in computational methods and machine learning, including:

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

Notable recent publications by Ruifeng Xu include:

  • "Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher-student learning," 2020, Knowledge-Based Systems
  • "An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "A Quantum Expectation Value Based Language Model with Application to Question Answering," 2020, Entropy

Frequent co-authors collaborating with Ruifeng Xu include:

  • Chengming Li
  • Min Yang
  • Jianzhu Bao
  • Yang Sun

The scientist has published extensively in several venues with the highest number of contributions appearing in arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research). Other venues include IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems, and the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Best Publications

  • Aleph: a detector for electron-positron annihilations at Lep

    D Decamp;B Deschizeaux;Jp Lees;Mn Minard

  • Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN

    Tao Chen;Ruifeng Xu;Yulan He;Xuan Wang

  • Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

    Bin Liang;Hang Su;Lin Gui;Erik Cambria

  • A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

    Qingnan Jiang;Lei Chen;Ruifeng Xu;Xiang Ao

  • Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection

    Bin Liu;Deyuan Zhang;Ruifeng Xu;Jinghao Xu

  • A Question Answering Approach for Emotion Cause Extraction

    Lin Gui;Jiannan Hu;Yulan He;Ruifeng Xu

  • Stance classification with target-specific neural attention networks

    Jiachen Du;Ruifeng Xu;Yulan He;Lin Gui

  • Event-driven emotion cause extraction with corpus construction

    Lin Gui;Dongyin Wu;Ruifeng Xu;Qin Lu

  • PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou's PseAAC and Physicochemical Distance Transformation.

    Bin Liu;Jinghao Xu;Shixi Fan;Ruifeng Xu

  • Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis

    Tao Chen;Ruifeng Xu;Yulan He;Yunqing Xia

  • Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks

    Qikang Wei;Tao Chen;Ruifeng Xu;Yulan He

  • Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction

    Chuang Fan;Chaofa Yuan;Jiachen Du;Lin Gui

  • Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

    Ruifeng Xu;Jiyun Zhou;Hongpeng Wang;Yulan He

  • Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text

    Lin Gui;Li Yuan;Ruifeng Xu;Bin Liu

  • Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

    Bin Liang;Rongdi Yin;Lin Gui;Jiachen Du

  • Introduction to Chinese Natural Language Processing

    Kam-Fai Wong;Wenji Li;Ruifeng Xu;Zheng-sheng Zhang

  • Learning representations from heterogeneous network for sentiment classification of product reviews

    Lin Gui;Yu Zhou;Ruifeng Xu;Yulan He

  • Using distances between Top-n-gram and residue pairs for protein remote homology detection.

    Bin Liu;Bin Liu;Jinghao Xu;Quan-Ming Zou;Ruifeng Xu

  • Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach

    Ruifeng Xu;Jiyun Zhou;Bin Liu;Yulan He

  • Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification

    Ruifeng Xu;Tao Chen;Yunqing Xia;Qin Lu

Frequent Co-Authors

Qin Lu
Qin Lu Hong Kong Polytechnic University
Yulan He
Yulan He King's College London
Xiaolong Wang
Xiaolong Wang University of California, San Diego
Bin Liu
Bin Liu National University of Singapore
Kam-Fai Wong
Kam-Fai Wong Chinese University of Hong Kong
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Lidong Bing
Lidong Bing Carnegie Mellon University
Ying Shen
Ying Shen Sun Yat-sen University
Shuming Shi
Shuming Shi Tencent (China)
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute

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