World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
20022
World Ranking
1294
National Ranking
173

Overview

Zheng-Jun Zha is affiliated with the University of Science and Technology of China in China. Their research primarily spans the field of Computer Science, with a substantial focus on Computer Vision and Pattern Recognition. Their work also touches upon Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist has contributed to multiple domains including Multimodal Machine Learning Applications, Human Pose and Action Recognition, Image Enhancement Techniques, Advanced Image Processing Techniques, Domain Adaptation and Few-Shot Learning, Video Surveillance and Tracking Methods, and Advanced Neural Network Applications.

Frequent collaborators in Zheng-Jun Zha's work include Xueyang Fu, Liang Li, Kecheng Zheng, Wei Zhai, and Yang Cao. This network of coauthors indicates significant collaborative engagement within the research community.

Their publication record spans various reputable venues, notably:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Selected recent papers authored or coauthored by Zheng-Jun Zha include:

  • "Image De-Raining Transformer," published in 2022 in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Towards a new generation of artificial intelligence in China," published in 2020 in Nature Machine Intelligence
  • "Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization," published in 2020 in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification," published in 2021 in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning," published in 2022 in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

    Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen

  • Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Zheng-Jun Zha;Jiebo Luo

  • Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews

    Jianxing Yu;Zheng-Jun Zha;Meng Wang;Tat-Seng Chua

  • Object Relational Graph With Teacher-Recommended Learning for Video Captioning

    Ziqi Zhang;Yaya Shi;Chunfeng Yuan;Bing Li

  • Image De-Raining Transformer

    Unknown

  • Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification

    Meng Wang;R. Hong;Guangda Li;Zheng-Jun Zha

  • Adaptive Transfer Network for Cross-Domain Person Re-Identification

    Jiawei Liu;Zheng-Jun Zha;Di Chen;Richang Hong

  • Joint multi-label multi-instance learning for image classification

    Zheng-Jun Zha;Xian-Sheng Hua;Tao Mei;Jingdong Wang

  • Mining Travel Patterns from Geotagged Photos

    Yan-Tao Zheng;Zheng-Jun Zha;Tat-Seng Chua

  • Learning to Assemble Neural Module Tree Networks for Visual Grounding

    Daqing Liu;Hanwang Zhang;Zheng-Jun Zha;Feng Wu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection

    Yuxin Wang;Hongtao Xie;Zheng-Jun Zha;Mengting Xing

  • MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition

    Yizhou Zhou;Xiaoyan Sun;Zheng-Jun Zha;Wenjun Zeng

  • Graph-based semi-supervised learning with multiple labels

    Zheng-Jun Zha;Tao Mei;Jingdong Wang;Zengfu Wang

  • Less is More: Efficient 3-D Object Retrieval With Query View Selection

    Yue Gao;Meng Wang;Zheng-Jun Zha;Qi Tian

  • Visual query suggestion

    Zheng-Jun Zha;Linjun Yang;Tao Mei;Meng Wang

  • Group-aware Label Transfer for Domain Adaptive Person Re-identification

    Kecheng Zheng;Wu Liu;Lingxiao He;Tao Mei

  • Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification

    Dechao Meng;Liang Li;Xuejing Liu;Yadong Li

  • Multi-Scale Triplet CNN for Person Re-Identification

    Jiawei Liu;Zheng-Jun Zha;Qi Tian;Dong Liu

  • A Fast Uyghur Text Detector for Complex Background Images

    Chenggang Yan;Hongtao Xie;Jianjun Chen;Zhengjun Zha

  • Product Aspect Ranking and Its Applications

    Zheng-Jun Zha;Jianxing Yu;Jinhui Tang;Meng Wang

  • Attribute-augmented semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval

    Hanwang Zhang;Zheng-Jun Zha;Yang Yang;Shuicheng Yan

  • Learning to Assemble Neural Module Tree Networks for Visual Grounding.

    Daqing Liu;Hanwang Zhang;Feng Wu;Zheng-Jun Zha

Frequent Co-Authors

Meng Wang
Meng Wang Hefei University of Technology
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Feng Wu
Feng Wu University of Science and Technology of China
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Yongdong Zhang
Yongdong Zhang University of Science and Technology of China
Tao Mei
Tao Mei Jingdong (China)
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Richang Hong
Richang Hong Hefei University of Technology
Shuhui Wang
Shuhui Wang Chinese Academy of Sciences
Xian-Sheng Hua
Xian-Sheng Hua Terminus International

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