World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
11444
World Ranking
6384
National Ranking
848

Overview

Baocai Yin is affiliated with Beijing University of Technology in China. Their research primarily focuses on Computer Science and Engineering, with a significant portion dedicated to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Building and Construction, Transportation, and Signal Processing.

The scientist's work covers a range of topics including:

  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition

Baocai Yin has authored papers published in several notable venues. These include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Among recent publications attributed to Baocai Yin are:

  • Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Tracking the sliding of grain boundaries at the atomic scale, 2022, Science
  • A Spatial-Temporal Attention Approach for Traffic Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Hierarchical Graph Convolution Network for Traffic Forecasting, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include:

  • Yongli Hu
  • Yanfeng Sun
  • Junbin Gao
  • Yong Zhang
  • Shaofan Wang

Best Publications

  • Learning to Detect Salient Objects with Image-Level Supervision

    Lijun Wang;Huchuan Lu;Yifan Wang;Mengyang Feng

  • Learning Uncertain Convolutional Features for Accurate Saliency Detection

    Pingping Zhang;Dong Wang;Huchuan Lu;Hongyu Wang

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

    Xueyan Yin;Genze Wu;Jinze Wei;Yanming Shen

  • Learning to Restore Low-Light Images via Decomposition-and-Enhancement

    Ke Xu;Xin Yang;Baocai Yin;Rynson W.H. Lau

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

    Kan Guo;Yongli Hu;Zhen Qian;Hao Liu

  • A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template

    Jun Miao;Baocai Yin;Kongqiao Wang;Lansun Shen

  • Spiking Transformers for Event-based Single Object Tracking

    Unknown

  • Data gathering in wireless sensor networks through intelligent compressive sensing

    Jin Wang;Shaojie Tang;Baocai Yin;Xiang-Yang Li

  • Hierarchical Graph Convolution Network for Traffic Forecasting

    Kan Guo;Yongli Hu;Yanfeng Sun;Sean Qian

  • Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

    Kan Guo;Yongli Hu;Zhen Qian;Yanfeng Sun

  • A Spatial–Temporal Attention Approach for Traffic Prediction

    Xiaoming Shi;Heng Qi;Yanming Shen;Genze Wu

  • MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification.

    Hongchen Tan;Xiuping Liu;Shengjing Tian;Baocai Yin

  • Yawning Detection for Monitoring Driver Fatigue

    Xiao Fan;Bao-Cai Yin;Yan-Feng Sun

  • 3D face recognition using local binary patterns

    Hengliang Tang;Baocai Yin;Yanfeng Sun;Yongli Hu

  • Object Tracking by Jointly Exploiting Frame and Event Domain.

    Jiqing Zhang;Xin Yang;Yingkai Fu;Xiaopeng Wei

  • DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution With Large Factors

    Xin Yang;Haiyang Mei;Jiqing Zhang;Ke Xu

  • Hyperspectral Image Classification Based on Deep Deconvolution Network With Skip Architecture

    Xiaorui Ma;Anyan Fu;Jie Wang;Hongyu Wang

  • Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis

    Hongchen Tan;Xiuping Liu;Xin Li;Yi Zhang

  • An improved active shape model for face alignment

    Wei Wang;Shiguang Shan;Wen Gao;Bo Cao

  • Incomplete Descriptor Mining With Elastic Loss for Person Re-Identification

    Unknown

  • Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network

    Junbiao Pang;Jing Huang;Yong Du;Haitao Yu

  • Screen Content Coding Based on HEVC Framework

    Weijia Zhu;Wenpeng Ding;Jizheng Xu;Yunhui Shi

  • Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

    Yanfeng Sun;Junbin Gao;Xia Hong;Bamdev Mishra

  • Multiscale Dynamic Features Based Driver Fatigue Detection

    Bao-Cai Yin;Xiao Fan;Yan-Feng Sun

  • Where Is My Mirror

    Xin Yang;Haiyang Mei;Ke Xu;Xiaopeng Wei

  • KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis

    Hongchen Tan;Xiuping Liu;Meng Liu;Baocai Yin

Frequent Co-Authors

Junbin Gao
Junbin Gao University of Sydney
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Qiang Zhang
Qiang Zhang Dalian University of Technology
Huchuan Lu
Huchuan Lu Dalian University of Technology
Ruiqin Xiong
Ruiqin Xiong Peking University
Xu Jizheng
Xu Jizheng ByteDance
Hongbo Fu
Hongbo Fu City University of Hong Kong
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China

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