World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
22672
World Ranking
1490
National Ranking
201

Overview

Fei Wu is affiliated with Zhejiang University in China and has contributed extensively to the field of Computer Science, with a strong focus on Artificial Intelligence. Their research spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistics and Probability, and Electrical and Electronic Engineering.

The topics addressed in Fei Wu's body of work include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Recommender Systems and Techniques
  • Human Pose and Action Recognition

Fei Wu's recent publications reflect a focus on advancing artificial intelligence and its applications. Notable papers include:

  • Towards a new generation of artificial intelligence in China, 2020, Nature Machine Intelligence
  • Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting, 2020, Alexandria Engineering Journal

Frequent collaborators in Fei Wu's research include Kun Kuang, Zhou Zhao, Shengyu Zhang, Shiliang Pu, and Yuxian Meng, with collaboration counts ranging from 23 to 95 joint works.

Their work has appeared in several prominent publication venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering, SSRN Electronic Journal, and IEEE Transactions on Image Processing.

Fei Wu has contributed to book publications primarily through Springer Science+Business Media. Among these are several editions of the title Pattern Recognition and Computer Vision published in 2021, as well as Health Information Processing and related evaluation track papers published between 2023 and 2024.

Best Publications

  • Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

    Jun Xiao;Hao Ye;Xiangnan He;Hanwang Zhang

  • Open Information Extraction Using Wikipedia

    Fei Wu;Daniel S. Weld

  • A Unified MRC Framework for Named Entity Recognition

    Xiaoya Li;Jingrong Feng;Yuxian Meng;Qinghong Han

  • DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

    Xi Li;Liming Zhao;Lina Wei;Ming-Hsuan Yang

  • Autonomously semantifying wikipedia

    Fei Wu;Daniel S. Weld

  • Dice Loss for Data-imbalanced NLP Tasks

    Xiaoya Li;Xiaofei Sun;Yuxian Meng;Junjun Liang

  • Dynamic Network Embedding by Modeling Triadic Closure Process.

    Le-kui Zhou;Yang Yang;Xiang Ren;Fei Wu

  • Automatically refining the wikipedia infobox ontology

    Fei Wu;Daniel S. Weld

  • Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning

    Pingbo Pan;Zhongwen Xu;Yi Yang;Fei Wu

  • Recovering semantics of tables on the web

    Petros Venetis;Alon Halevy;Jayant Madhavan;Marius Paşca

  • Video Question Answering via Gradually Refined Attention over Appearance and Motion

    Dejing Xu;Zhou Zhao;Jun Xiao;Fei Wu

  • Harmonizing Hierarchical Manifolds for Multimedia Document Semantics Understanding and Cross-Media Retrieval

    Yi Yang;Yue-Ting Zhuang;Fei Wu;Yun-He Pan

  • Adaptive Graph Representation Learning for Video Person Re-Identification

    Yiming Wu;Omar El Farouk Bourahla;Xi Li;Fei Wu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning

    Xiao-Yuan Jing;Xiaoke Zhu;Fei Wu;Xinge You

  • HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction

    Dejiang Kong;Fei Wu

  • Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net

    Yunze Man;Yangsibo Huang;Junyi Feng;Xi Li

  • Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

    Bin Li;Xi Li;Zhongfei Zhang;Fei Wu

  • Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

    Xiaoyuan Jing;Fei Wu;Xiwei Dong;Fumin Qi

  • 3D motion retrieval with motion index tree

    Feng Liu;Yueting Zhuang;Fei Wu;Yunhe Pan

  • Mining Semantic Correlation of Heterogeneous Multimedia Data for Cross-Media Retrieval

    Yue-Ting Zhuang;Yi Yang;Fei Wu

  • BertGCN: Transductive Text Classification by Combining GNN and BERT

    Yuxiao Lin;Yuxian Meng;Xiaofei Sun;Qinghong Han

  • DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

    Ming Tao;Hao Tang;Songsong Wu;Nicu Sebe

Frequent Co-Authors

Yueting Zhuang
Yueting Zhuang Zhejiang University
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Xi Li
Xi Li Zhejiang University
Jun Xiao
Jun Xiao University of Wisconsin–Madison
Zhongfei Zhang
Zhongfei Zhang Binghamton University
Zhou Zhao
Zhou Zhao Zhejiang University
Jiwei Li
Jiwei Li Zhejiang University
Qi Tian
Qi Tian Huawei Technologies (China)
Xiang Ren
Xiang Ren University of Southern California
Baowen Xu
Baowen Xu Nanjing University

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