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D-Index & Metrics

Computer Science

D-Index
75
Citations
31743
World Ranking
1382
National Ranking
187

Overview

Hanqing Lu is affiliated with the Chinese Academy of Sciences in China and primarily works within the fields of Computer Science and Engineering. Their research has a notable focus on Computer Vision and Pattern Recognition, including subfields such as Artificial Intelligence and Cognitive Neuroscience.

The scientist's work covers a range of topics, prominently featuring:

  • Video Surveillance and Tracking Methods
  • Face and Expression Recognition
  • Functional Brain Connectivity Studies
  • Gait Recognition and Analysis
  • Advanced Computing and Algorithms
  • Advanced Neuroimaging Techniques and Applications
  • Advanced Image and Video Retrieval Techniques

Hanqing Lu has published several papers in various scientific venues. Notable recent papers include:

  • Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network, 2020, Expert Systems with Applications
  • Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results, 2021, Applied Soft Computing
  • Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition, 2023, ACM Transactions on Embedded Computing Systems
  • Improved deep convolutional embedded clustering with re-selectable sample training, 2022, Pattern Recognition

Frequent publication venues for Hanqing Lu include:

  • Pattern Recognition
  • Expert Systems with Applications
  • Multimedia Systems
  • Multimedia Tools and Applications
  • arXiv (Cornell University)

Several co-authors have collaborated extensively with Hanqing Lu, including:

  • Xia Geng
  • Shaohua Wan
  • Hui Wei
  • Juanjuan Tu
  • Xuecheng Hua

Best Publications

  • Dual Attention Network for Scene Segmentation

    Jun Fu;Jing Liu;Haijie Tian;Yong Li

  • Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • Skeleton-Based Action Recognition With Shift Graph Convolutional Network

    Ke Cheng;Yifan Zhang;Xiangyu He;Weihan Chen

  • Skeleton-Based Action Recognition With Directed Graph Neural Networks

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Face detection using improved LBP under Bayesian framework

    Hongliang Jin;Qingshan Liu;Hanqing Lu;Xiaofeng Tong

  • A nonlinear approach for face sketch synthesis and recognition

    Qingshan Liu;Xiaoou Tang;Hongliang Jin;Hanqing Lu

  • Solving the small sample size problem of LDA

    Rui Huang;Qingshan Liu;Hanqing Lu;Songde Ma

  • Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set

    Si Liu;Zheng Song;Guangcan Liu;Changsheng Xu

  • Street-to-shop: cross-scenario clothing retrieval via parts alignment and auxiliary set

    Si Liu;Zheng Song;Meng Wang;Changsheng Xu

  • Robust Structured Subspace Learning for Data Representation

    Zechao Li;Jing Liu;Jinhui Tang;Hanqing Lu

  • EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition

    Yifan Zhang;Congqi Cao;Jian Cheng;Hanqing Lu

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

    Ke Cheng;Yifan Zhang;Congqi Cao;Lei Shi

  • Hi, magic closet, tell me what to wear!

    Si Liu;Jiashi Feng;Zheng Song;Tianzhu Zhang

  • A Real-Time Hand Gesture Recognition Method

    Yikai Fang;Kongqiao Wang;Jian Cheng;Hanqing Lu

  • CoupleNet: Coupling Global Structure with Local Parts for Object Detection

    Yousong Zhu;Chaoyang Zhao;Jinqiao Wang;Xu Zhao

  • Improving kernel Fisher discriminant analysis for face recognition

    Qingshan Liu;Hanqing Lu;Songde Ma

  • Image annotation via graph learning

    Jing Liu;Mingjing Li;Qingshan Liu;Hanqing Lu

Frequent Co-Authors

Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Jing Liu
Jing Liu Chinese Academy of Sciences
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Zechao Li
Zechao Li Nanjing University of Science and Technology
Ling-Yu Duan
Ling-Yu Duan Peking University
Qi Tian
Qi Tian Huawei Technologies (China)
Si Liu
Si Liu Beihang University
Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China

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