World's Best Scientists 2026 revealed!
Baochang Zhang

Baochang Zhang

D-Index & Metrics

Computer Science

D-Index
57
Citations
14167
World Ranking
3806
National Ranking
508

Overview

Baochang Zhang is affiliated with Beihang University in China and has contributed extensively to the fields of computer science and engineering. Their primary research areas include computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, aerospace engineering, and electrical and electronic engineering.

The scientist's work focuses on several main topics, including advanced neural network applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, video surveillance and tracking methods, human pose and action recognition, anomaly detection techniques and applications, and adversarial robustness in machine learning.

Baochang Zhang has published numerous papers in a variety of peer-reviewed venues, with a significant number of contributions to arXiv (Cornell University). Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the International Journal of Computer Vision, Neurocomputing, and IEEE Transactions on Neural Networks and Learning Systems.

The frequent coauthors collaborating with Baochang Zhang are:

  • David Doermann (41 joint publications)
  • Guodong Guo (28 joint publications)
  • Rongrong Ji (25 joint publications)
  • Xianbin Cao (23 joint publications)
  • Yanjing Li (22 joint publications)

Among recent papers authored or coauthored by Baochang Zhang are:

  • Memory Attention Networks for Skeleton-Based Action Recognition, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Multi-block SSD based on small object detection for UAV railway scene surveillance, 2020, Chinese Journal of Aeronautics
  • Multi-modal data Alzheimer's disease detection based on 3D convolution, 2022, Biomedical Signal Processing and Control
  • Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss, 2020, IEEE Transactions on Image Processing

Baochang Zhang has also contributed to the domain through book publications, including the title Neural Networks with Model Compression, published by Springer International Publishing in 2024.

Best Publications

  • Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor

    Baochang Zhang;Yongsheng Gao;Sanqiang Zhao;Jianzhuang Liu

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

    Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

  • Gabor Convolutional Networks

    Shangzhen Luan;Baochang Zhang;Chen Chen;Xianbin Cao

  • Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification

    Peicheng Zhou;Junwei Han;Gong Cheng;Baochang Zhang

  • Implicit Diffusion Models for Continuous Super-Resolution

    Unknown

  • Channel Pruning via Automatic Structure Search

    Mingbao Lin;Rongrong Ji;Yuxin Zhang;Baochang Zhang

  • Cross-Modality Binary Code Learning via Fusion Similarity Hashing

    Hong Liu;Rongrong Ji;Yongjian Wu;Feiyue Huang

  • Gabor Convolutional Networks

    Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han

  • Accelerating convolutional networks via global & dynamic filter pruning

    Shaohui Lin;Rongrong Ji;Yuchao Li;Yongjian Wu

  • Land-use scene classification using multi-scale completed local binary patterns

    Chen Chen;Baochang Zhang;Hongjun Su;Wei Li

  • Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

    Baochang Zhang;Yun Yang;Chen Chen;Linlin Yang

  • Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

    Unknown

  • Multi-block SSD based on small object detection for UAV railway scene surveillance

    Unknown

  • Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval

    Gengshen Wu;Zijia Lin;Jungong Han;Li Liu

  • Directional binary code with application to PolyU near-infrared face database

    Baochang Zhang;Lei Zhang;David Zhang;Linlin Shen

  • Memory Attention Networks for Skeleton-Based Action Recognition

    Ce Li;Chunyu Xie;Baochang Zhang;Jungong Han

  • Geometric Reinforcement Learning for Path Planning of UAVs

    Baochang Zhang;Zhili Mao;Wanquan Liu;Jianzhuang Liu

  • Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network

    Xiao Song;Kai Chen;Xu Li;Jinghan Sun

  • Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

    Yuchao Li;Shaohui Lin;Baochang Zhang;Jianzhuang Liu

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

  • Rotated Binary Neural Network

    Mingbao Lin;Rongrong Ji;Zihan Xu;Baochang Zhang

  • Memory Attention Networks for Skeleton-based Action Recognition

    Chunyu Xie;Ce Li;Baochang Zhang;Chen Chen

Frequent Co-Authors

Rongrong Ji
Rongrong Ji Xiamen University
David Doermann
David Doermann University at Buffalo, State University of New York
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Jungong Han
Jungong Han Aberystwyth University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Feiyue Huang
Feiyue Huang Tencent (China)
Guodong Guo
Guodong Guo West Virginia University
Ling Shao
Ling Shao Terminus International
Wankou Yang
Wankou Yang Southeast University
Xiantong Zhen
Xiantong Zhen University of Amsterdam

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens doors to a wide variety of online programs and career options that complement this field. For those interested in the theoretical and mathematical foundations of technology, enrolling in an online theoretical physics degree can deepen your understanding of computational principles.

Data-driven roles are also in high demand. If you want advanced analytical skills without a heavy financial burden, consider the cheapest master in data science programs available online. These courses provide industry-relevant skills for roles in big data, AI, and analytics.

For a technology-focused path, the online master’s in electrical engineering degree can upgrade your expertise in hardware, software integration, and emerging tech.

Looking for a quicker route into tech careers? Explore short certificate programs that pay well. These streamlined options suit those aiming for in-demand jobs or career switches without committing to a full degree.

Best Scientists Citing Baochang Zhang

Trending Scientists

Recently Published Articles