World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9269
World Ranking
4400
National Ranking
591

Overview

Xu Sun is a researcher affiliated with Peking University in China, specializing in computer science with a strong focus on artificial intelligence. Their scholarly output encompasses numerous papers primarily in the fields of artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, electrical and electronic engineering, and sociology and political science.

Their recent significant publications include:

  • "Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation" (2021), published in arXiv (Cornell University)
  • "A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants" (2022), published in Engineering Applications of Artificial Intelligence
  • "Topology-Imbalance Learning for Semi-Supervised Node Classification" (2021), published in arXiv (Cornell University)
  • "EQG-RACE: Examination-Type Question Generation" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence

Xu Sun's frequent co-authors include:

  • Xuancheng Ren
  • Yunfang Wu
  • Shuhuai Ren
  • Lei Li
  • Shaoxiong Feng

Their work has appeared repeatedly in several notable publication venues, including:

  • arXiv (Cornell University) with 28 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 8 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 3 publications
  • Neurocomputing with 3 publications
  • ACM Transactions on Knowledge Discovery from Data with 2 publications

Key research topics addressed in Xu Sun's work cover a range of areas within artificial intelligence and machine learning:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Speech and Dialogue Systems
  • Anomaly Detection Techniques and Applications

Overall, Xu Sun's research contributes extensively to advancing methods in artificial intelligence, incorporating both theoretical and applied approaches in diverse subfields. Their collaborations and publication record demonstrate an active engagement with multiple research communities and domains.

Best Publications

  • Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

    Deli Chen;Yankai Lin;Wei Li;Peng Li

  • SGM: Sequence Generation Model for Multi-label Classification

    Pengcheng Yang;Xu Sun;Wei Li;Shuming Ma

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xiaodong Zhang

  • Aligning Cross-Lingual Entities with Multi-Aspect Information

    Hsiu Wei Yang;Yanyan Zou;Peng Shi;Wei Lu

  • Evaluating user experience of adaptive digital educational games with Activity Theory

    Effie Lai-Chong Law;Xu Sun

  • Contrastive Attention for Automatic Chest X-ray Report Generation

    Fenglin Liu;Changchang Yin;Xian Wu;Shen Ge

  • A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

    Fuli Luo;Peng Li;Jie Zhou;Pengcheng Yang

  • A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.

    Hangfeng He;Xu Sun

  • F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media

    Hangfeng He;Xu Sun

  • High-sensitivity liquid refractive-index sensor based on a Mach-Zehnder interferometer with a double-slot hybrid plasmonic waveguide

    Xu Sun;Daoxin Dai;Lars Thylén;Lech Wosinski

  • meProp: sparsified back propagation for accelerated deep learning with reduced overfitting

    Xu Sun;Xuancheng Ren;Shuming Ma;Houfeng Wang

  • Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation

    Jingjing Xu;Xuancheng Ren;Junyang Lin;Xu Sun

  • A Large Scale Ranker-Based System for Search Query Spelling Correction

    Jianfeng Gao;Xiaolong Li;Daniel Micol;Chris Quirk

  • PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

    Ruixuan Luo;Jingjing Xu;Yi Zhang;Xuancheng Ren

  • Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection

    Xu Sun;Houfeng Wang;Wenjie Li

  • Learning Personalized End-to-End Goal-Oriented Dialog

    Unknown

  • A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

    Jingjing Xu;Xuancheng Ren;Yi Zhang;Qi Zeng

  • Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.

    Wenkai Yang;Lei Li;Zhiyuan Zhang;Xuancheng Ren

  • A user-centred mobile diary study approach to understanding serendipity in information research

    Xu Sun;Sarah Sharples;Stephann Makri

  • A comparison of field-based and lab-based experiments to evaluate user experience of personalised mobile devices

    Xu Sun;Andrew May

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xuancheng Ren

  • Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

    Guangxiang Zhao;Junyang Lin;Zhiyuan Zhang;Xuancheng Ren

  • A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

    Fuli Luo;Peng Li;Jie Zhou;Pengcheng Yang

Frequent Co-Authors

Houfeng Wang
Houfeng Wang Peking University
Peng Li
Peng Li University of California, Santa Barbara
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Jie Zhou
Jie Zhou Tsinghua University
Sujian Li
Sujian Li Peking University
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Daoxin Dai
Daoxin Dai Zhejiang University
Furu Wei
Furu Wei Microsoft (United States)
Hisashi Kashima
Hisashi Kashima Kyoto University

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