World's Best Scientists 2026 revealed!
Xuanjing Huang

Xuanjing Huang

D-Index & Metrics

Computer Science

D-Index
64
Citations
19024
World Ranking
2569
National Ranking
346

Overview

Xuanjing Huang is affiliated with Fudan University in China and works primarily within the field of Computer Science. Their research focuses extensively on Artificial Intelligence, with contributions also spanning Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Molecular Biology.

Their scholarly output includes work on a variety of topics related to machine learning and natural language processing. Key topics covered in their publications are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Adversarial Robustness in Machine Learning

Xuanjing Huang has been published in several frequent venues, indicating active engagement with prominent conferences and journals in their field. These venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Science China Information Sciences
  • Machine Intelligence Research
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Their collaboration network includes several frequent co-authors, reflecting ongoing research partnerships. Notable frequent co-authors are:

  • Xipeng Qiu
  • Tao Gui
  • Zhongyu Wei
  • Qi Zhang (listed twice with different counts)

Some of the recent papers related to their research encompass significant contributions to natural language processing and related technologies:

  • Pre-trained models for natural language processing: A survey, 2020, Science China Technological Sciences
  • A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models, 2023, arXiv (Cornell University)
  • The rise and potential of large language model based agents: a survey, 2025, Science China Information Sciences
  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters, 2020, arXiv (Cornell University)
  • Learning Sparse Sharing Architectures for Multiple Tasks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

This body of work demonstrates engagement with foundational and emerging topics in artificial intelligence, particularly in areas related to language models and multitask learning architectures.

Best Publications

  • How to Fine-Tune BERT for Text Classification?

    Chi Sun;Xipeng Qiu;Yige Xu;Xuanjing Huang

  • Pre-trained Models for Natural Language Processing: A Survey

    XiPeng Qiu;TianXiang Sun;YiGe Xu;YunFan Shao

  • Recurrent neural network for text classification with multi-task learning

    Pengfei Liu;Xipeng Qiu;Xuanjing Huang

  • Adversarial Multi-task Learning for Text Classification

    Pengfei Liu;Xipeng Qiu;Xuanjing Huang

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • Phrase Dependency Parsing for Opinion Mining

    Yuanbin Wu;Qi Zhang;Xuangjing Huang;Lide Wu

  • FLAT: Chinese NER Using Flat-Lattice Transformer

    Xiaonan Li;Hang Yan;Xipeng Qiu;Xuanjing Huang

  • Extractive Summarization as Text Matching

    Ming Zhong;Pengfei Liu;Yiran Chen;Danqing Wang

  • Adaptive Co-attention Network for Named Entity Recognition in Tweets

    Qi Zhang;Jinlan Fu;Xiaoyu Liu;Xuanjing Huang

  • Long Short-Term Memory Neural Networks for Chinese Word Segmentation

    Xinchi Chen;Xipeng Qiu;Chenxi Zhu;Pengfei Liu

  • Convolutional neural tensor network architecture for community-based question answering

    Xipeng Qiu;Xuanjing Huang

  • Heterogeneous Graph Neural Networks for Extractive Document Summarization.

    Danqing Wang;Pengfei Liu;Yining Zheng;Xipeng Qiu

  • Simplify the Usage of Lexicon in Chinese NER

    Ruotian Ma;Minlong Peng;Qi Zhang;Zhongyu Wei

  • CNN-Based Chinese NER with Lexicon Rethinking

    Tao Gui;Ruotian Ma;Qi Zhang;Lujun Zhao

  • A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

    Unknown

  • A Lexicon-Based Graph Neural Network for Chinese NER

    Tao Gui;Yicheng Zou;Qi Zhang;Minlong Peng

  • GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge

    Luyao Huang;Chi Sun;Xipeng Qiu;Xuanjing Huang

  • Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

    Qi Zhang;Yang Wang;Yeyun Gong;Xuanjing Huang

  • Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

    Ning Dai;Jianze Liang;Xipeng Qiu;Xuanjing Huang

  • Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction

    Yingmei Chen;Zhongyu Wei;Xuanjing Huang

  • Adversarial Multi-Criteria Learning for Chinese Word Segmentation

    Xinchi Chen;Zhan Shi;Xipeng Qiu;Xuanjing Huang

  • Task-oriented Dialogue System for Automatic Diagnosis

    Zhongyu Wei;Qianlong Liu;Baolin Peng;Huaixiao Tou

Frequent Co-Authors

Xipeng Qiu
Xipeng Qiu Fudan University
Qi Zhang
Qi Zhang Fudan University
Nan Duan
Nan Duan Microsoft Research Asia (China)
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Yang Liu
Yang Liu Tsinghua University
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Ming Zhou
Ming Zhou Langboat Technology
Kai-Wei Chang
Kai-Wei Chang University of California, Los Angeles
Daxin Jiang
Daxin Jiang Microsoft (United States)
Duyu Tang
Duyu Tang Fudan University

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