World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
22861
World Ranking
2694
National Ranking
369

Overview

Jianxin Wu is affiliated with Nanjing University in China and primarily works in the field of Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Neurology. They have contributed extensively to these areas with numerous research publications.

Their research topics include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis

Jianxin Wu's publication record features work in frequent venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal

Notable recent papers by Jianxin Wu include:

  • "AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference" (2020), published in Pattern Recognition
  • "Residual Attention: A Simple but Effective Method for Multi-Label Recognition" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Research Advances on the Damage Mechanism of Skin Glycation and Related Inhibitors" (2022), published in Nutrients
  • "Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent coauthors collaborating with Jianxin Wu include:

  • Yun-Hao Cao
  • Chen-Lin Zhang
  • Ke Zhu
  • Yin-Yin He
  • Minghao Fu

In addition to journal and conference articles, Jianxin Wu has published a book titled Essentials of Pattern Recognition (2020) with Cambridge University Press.

Best Publications

  • Exploratory Undersampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • Ensembling neural networks: many could be better than all

    Zhi-Hua Zhou;Jianxin Wu;Wei Tang

  • Exploratory Under-Sampling for Class-Imbalance Learning

    Xu-Ying Liu;Jianxin Wu;Zhi-Hua Zhou

  • ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

    Jian-Hao Luo;Jianxin Wu;Weiyao Lin

  • CENTRIST: A Visual Descriptor for Scene Categorization

    Jianxin Wu;J M Rehg

  • Deep Label Distribution Learning With Label Ambiguity

    Bin-Bin Gao;Chao Xing;Chen-Wei Xie;Jianxin Wu

  • Probabilistic End-To-End Noise Correction for Learning With Noisy Labels

    Kun Yi;Jianxin Wu

  • A Scalable Approach to Activity Recognition based on Object Use

    Jianxin Wu;A. Osuntogun;T. Choudhury;M. Philipose

  • Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

    Xiu-Shen Wei;Jian-Hao Luo;Jianxin Wu;Zhi-Hua Zhou

  • Fast Asymmetric Learning for Cascade Face Detection

    Jianxin Wu;S.C. Brubaker;M.D. Mullin;J.M. Rehg

  • Minimal gated unit for recurrent neural networks

    Guo-Bing Zhou;Jianxin Wu;Chen-Lin Zhang;Zhi-Hua Zhou

  • Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization

    Xiu-Shen Wei;Chen-Wei Xie;Jianxin Wu;Chunhua Shen

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel

    Jianxin Wu;James M. Rehg

  • Face recognition with one training image per person

    Jianxin Wu;Zhi-Hua Zhou

  • ThiNet: Pruning CNN Filters for a Thinner Net

    Jian-Hao Luo;Hao Zhang;Hong-Yu Zhou;Chen-Wei Xie

  • On the Design of Cascades of Boosted Ensembles for Face Detection

    S. Charles Brubaker;Jianxin Wu;Jie Sun;Matthew D. Mullin

  • AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference

    Jian-Hao Luo;Jianxin Wu

  • Genetic algorithm based selective neural network ensemble

    Zhi-Hua Zhou;Jian-Xin Wu;Yuan Jiang;Shi-Fu Chen

  • PBN: towards practical activity recognition using smartphone-based body sensor networks

    Matthew Keally;Gang Zhou;Guoliang Xing;Jianxin Wu

  • Enhanced (PC) 2 A for face recognition with one training image per person

    Songcan Chen;Daoqiang Zhang;Zhi-Hua Zhou

Frequent Co-Authors

Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Xiu-Shen Wei
Xiu-Shen Wei Southeast University
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Chunhua Shen
Chunhua Shen Zhejiang University
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Jianfei Cai
Jianfei Cai Monash University
Jingdong Wang
Jingdong Wang Baidu (China)
Xin Geng
Xin Geng Southeast University
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Mingliang Xu
Mingliang Xu Zhengzhou University

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