World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7930
World Ranking
6239
National Ranking
832

Overview

Hongtao Lu is affiliated with Shanghai Jiao Tong University in China and has a substantial body of research contributions primarily in the field of computer science. Their work spans various subfields, including computer vision and pattern recognition, artificial intelligence, media technology, radiology, nuclear medicine and imaging, and biomedical engineering.

The scientist's publication record includes 229 works within computer science, with significant focus on computer vision and pattern recognition evidenced by 144 publications. Other notable subfields include artificial intelligence with 56 publications and media technology with 14. Their research topics broadly cover:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Face Recognition and Analysis
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques

Research output from Hongtao Lu frequently appears in specific publication venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Computer Vision and Image Understanding
  • IEEE Transactions on Multimedia
  • Regular and Young Investigator Award Abstracts

Among recent papers authored or coauthored by Hongtao Lu, notable works include:

  • Natural Image Matting via Guided Contextual Attention, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection, 2023, Computer Vision and Image Understanding
  • Enhancing human activity recognition using deep learning and time series augmented data, 2021, Journal of Ambient Intelligence and Humanized Computing
  • Show, Recall, and Tell: Image Captioning with Recall Mechanism, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Hongtao Lu has collaborated frequently with a group of coauthors, including:

  • Yue Ding (30 collaborations)
  • Huayi Zhou (15 collaborations)
  • Yuxiang Lu (15 collaborations)
  • Zhaozhi Xie (12 collaborations)
  • Yaoyi Li (11 collaborations)

Best Publications

  • Learning Texture Transformer Network for Image Super-Resolution

    Fuzhi Yang;Huan Yang;Jianlong Fu;Hongtao Lu

  • Spatio-Temporal AutoEncoder for Video Anomaly Detection

    Yiru Zhao;Bing Deng;Chen Shen;Yao Liu

  • Chaotic attractors in delayed neural networks

    Hongtao Lu

  • Deep convolutional neural network VGG-16 model for differential diagnosing of papillary thyroid carcinomas in cytological images: a pilot study.

    Qing Guan;Yunjun Wang;Bo Ping;Duanshu Li

  • Chaotic behavior in first-order autonomous continuous-time systems with delay

    Hongtao Lu;Zhenya He

  • Natural image matting via guided contextual attention

    Yaoyi Li;Hongtao Lu

  • Look Back and Predict Forward in Image Captioning

    Yu Qin;Jiajun Du;Yonghua Zhang;Hongtao Lu

  • Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification

    Yiru Zhao;Xu Shen;Zhongming Jin;Hongtao Lu

  • Rethinking on Multi-Stage Networks for Human Pose Estimation.

    Wenbo Li;Zhicheng Wang;Binyi Yin;Qixiang Peng

  • Deep CTR Prediction in Display Advertising

    Junxuan Chen;Baigui Sun;Hao Li;Hongtao Lu

  • On stability of nonlinear continuous-time neural networks with delays

    Hongtao Lu

  • SURF Tracking

    Wei He;Takayoshi Yamashita;Hongtao Lu;Shihong Lao

  • Fragile watermarking scheme for image authentication

    Hongtao Lu;Ruiming Shen;Fu Lai Korris Chung

  • An Adversarial Approach to Hard Triplet Generation

    Yiru Zhao;Zhongming Jin;Guo-jun Qi;Hongtao Lu

  • Digital image splicing detection based on approximate run length

    Zhongwei He;Wei Sun;Wei Lu;Hongtao Lu

  • A novel image watermarking scheme based on support vector regression

    Rui-min Shen;Yong-gang Fu;Hong-tao Lu

  • Robust digital image watermarking based on subsampling

    Wei Lu;Hongtao Lu;Fu-Lai Chung

  • Global exponential stability of delayed competitive neural networks with different time scales

    Hongtao Lu;Zhenya He

  • Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

    Zhe Xie;Chengxuan Liu;Yichi Zhang;Hongtao Lu

  • Using Deep Convolutional Neural Networks for Multi-Classification of Thyroid Tumor by Histopathology: A Large-Scale Pilot Study

    Yunjun Wang;Qing Guan;Iweng Lao;Li Wang

  • Global exponential stability analysis of Cohen-Grossberg neural networks

    Hongtao Lu

  • Robust watermarking based on DWT and nonnegative matrix factorization

    Wei Lu;Wei Sun;Hongtao Lu

Frequent Co-Authors

Wei Lu
Wei Lu Sun Yat-sen University
Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Horace H. S. Ip
Horace H. S. Ip City University of Hong Kong
Guanrong Chen
Guanrong Chen City University of Hong Kong
Baining Guo
Baining Guo Microsoft (United States)
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Dong Wang
Dong Wang Peking University
Jianlong Fu
Jianlong Fu Microsoft (United States)

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