World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
18234
World Ranking
2316
National Ranking
318

Overview

Junchi Yan is affiliated with Shanghai Jiao Tong University in China, focusing primarily on research within Computer Science. Their publication record spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Automotive Engineering, and Computational Theory and Mathematics.

Their research topics cover a diverse range of areas, notably:

  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Robotics and Sensor-Based Localization
  • Autonomous Vehicle Technology and Safety
  • Multimodal Machine Learning Applications

Junchi Yan has contributed to numerous research papers, some of which include:

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Image Matching from Handcrafted to Deep Features: A Survey (2020), published in the International Journal of Computer Vision
  • MMRotate (2022), published in the Proceedings of the 30th ACM International Conference on Multimedia
  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Learning Modulated Loss for Rotated Object Detection (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence

Junchi Yan frequently collaborates with several researchers, including:

  • Xiaokang Yang, with 44 co-authored works
  • Xue Yang, with 24 co-authored works
  • Qitian Wu, with 23 co-authored works
  • Xiaosong Jia, with 20 co-authored works
  • Yu Qiao, with 16 co-authored works

Their contributions are often published in notable venues such as:

  • arXiv (Cornell University), with 193 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, with 17 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, with 15 publications
  • IEEE Transactions on Knowledge and Data Engineering, with 7 publications
  • IEEE Transactions on Neural Networks and Learning Systems, with 5 publications

Best Publications

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

    Xue Yang;Junchi Yan;Ziming Feng;Tao He

  • Image Matching from Handcrafted to Deep Features: A Survey

    Jiayi Ma;Xingyu Jiang;Aoxiang Fan;Junjun Jiang

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Arbitrary-Oriented Object Detection with Circular Smooth Label

    Xue Yang;Junchi Yan

  • Generalizing Face Forgery Detection with High-frequency Features

    Yuchen Luo;Yong Zhang;Junchi Yan;Wei Liu

  • MMRotate: A Rotated Object Detection Benchmark using PyTorch

    Unknown

  • Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

    Xue Yang;Liping Hou;Yue Zhou;Wentao Wang

  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren;Junchi Yan;Bingbing Ni;Bin Liu

  • Learning Combinatorial Embedding Networks for Deep Graph Matching

    Runzhong Wang;Junchi Yan;Xiaokang Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • Deep Spectral Clustering Using Dual Autoencoder Network

    Xu Yang;Cheng Deng;Feng Zheng;Junchi Yan

  • Learning Modulated Loss for Rotated Object Detection

    Wen Qian;Xue Yang;Silong Peng;Junchi Yan

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.

    Xiaoyong Pan;Peter Rijnbeek;Junchi Yan;Hong-Bin Shen

  • Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

    Xue Yang;Xiaojiang Yang;Jirui Yang;Qi Ming

  • Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

    Xue Yang;Junchi Yan;Qi Ming;Wentao Wang

  • Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

    Shuai Xiao;Junchi Yan;Stephen M. Chu;Xiaokang Yang

  • Visual Saliency Detection via Sparsity Pursuit

    Junchi Yan;Mengyuan Zhu;Huanxi Liu;Yuncai Liu

  • A Short Survey of Recent Advances in Graph Matching

    Junchi Yan;Xu-Cheng Yin;Weiyao Lin;Cheng Deng

  • Person Re-Identification with Correspondence Structure Learning

    Yang Shen;Weiyao Lin;Junchi Yan;Mingliang Xu

  • Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder

    Longyuan Li;Junchi Yan;Haiyang Wang;Yaohui Jin

  • Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

    Junchi Yan;Minsu Cho;Hongyuan Zha;Xiaokang Yang

  • Modeling the intensity function of point process via recurrent neural networkss

    Shuai Xiao;Junchi Yan;Xiaokang Yang;Hongyuan Zha

Frequent Co-Authors

Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Xue Yang
Xue Yang Shanghai Jiao Tong University
Wei Liu
Wei Liu Tencent (China)
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Cheng Deng
Cheng Deng Xidian University
Yin Li
Yin Li Chinese Academy of Sciences
Baoxin Li
Baoxin Li Shaanxi Normal University
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence

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