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  1. No Access

    Article

    Light Flickering Guided Reflection Removal

    When photographing through a piece of glass, reflections usually degrade the quality of captured images or videos. In this paper, by exploiting periodically varying light flickering, we investigate the problem...

    Yuchen Hong, Yakun Chang, **xiu Liang, Lei Ma in International Journal of Computer Vision (2024)

  2. Article

    Open Access

    Real-time distance field acceleration based free-viewpoint video synthesis for large sports fields

    Free-viewpoint video allows the user to view objects from any virtual perspective, creating an immersive visual experience. This technology enhances the interactivity and freedom of multimedia performances. Ho...

    Yanran Dai, **g Li, Yuqi Jiang, Haidong Qin, Bang Liang in Computational Visual Media (2024)

  3. No Access

    Article

    Implementation of air pollution traceability method based on IF-GNN-FC model with multiple-source data

    The most difficult problem in air pollution control is the accurate traceability of pollutants because atmospheric motion is affected by many factors. In this paper, based on the analysis of data, we propose a...

    Hong Fang, **dong Liang, Jifen Wang in International Journal of Data Science and Analytics (2023)

  4. No Access

    Article

    End-to-End Entity Detection with Proposer and Regressor

    Named entity recognition is a traditional task in natural language processing. In particular, nested entity recognition receives extensive attention for the widespread existence of the nesting scenario. The la...

    Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang in Neural Processing Letters (2023)

  5. No Access

    Article

    DCTN: a dense parallel network combining CNN and transformer for identifying plant disease in field

    Crop diseases can have a detrimental impact on crop growth, resulting in a significant reduction in crop yield. Therefore, accurate detection of these diseases is crucial for enhancing crop productivity. Despi...

    Denghao Pang, Hong Wang, Jian Ma, Dong Liang in Soft Computing (2023)

  6. No Access

    Article

    Effective skeleton topology and semantics-guided adaptive graph convolution network for action recognition

    Most of the existing graph convolutional network-based action recognition methods use an adaptive mechanism to learn action features from a skeleton sequence. Although this mechanism improves the recognition a...

    Zhong-**ang Qiu, Hong-Bo Zhang, Wei-Mo Deng, Ji-**ang Du, Qing Lei in The Visual Computer (2023)

  7. No Access

    Chapter and Conference Paper

    Long-Range Delivery and High-Efficiency Actuation of Magnetic Freezing Compact Toroid for Failed Spacecraft Despinning

    With the increasing seriousness of the space debris environment, develo** debris de-orbiting and removal techniques is imperative. Space debris rotates rapidly, so despinning must be performed before removal...

    Ma Tian, Zhao Hong-Liang, Chen Peng-Lin in Proceedings of 2022 International Conferen… (2023)

  8. No Access

    Chapter and Conference Paper

    Investigation and Analysis on Learning Attitude of Public Pedagogy Under the Background of Big Data

    Pedagogy is a very important educational course. It plays an important role for teachers to establish correct educational concepts, master appropriate educational methods and form a certain educational ability...

    Hong Liang in Application of Big Data, Blockchain, and I… (2023)

  9. No Access

    Chapter and Conference Paper

    A Brief Overview of Recent Energy-Saving Researches in Smart Homes

    This paper gives a brief overview on the topic of energy saving in smart homes. It provides introduction of some recent researches and developments of energy-saving schemes for smart homes, so that helps reade...

    Tien-Wen Sung, Qiaoxin Liang, Zeming Huang in Advances in Intelligent Information Hiding… (2023)

  10. No Access

    Reference Work Entry In depth

    Privacy Preservation in Big Data Analytics

    Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong in Granular, Fuzzy, and Soft Computing (2023)

  11. No Access

    Chapter and Conference Paper

    The Load Forecasting of Special Transformer Users Based on Unsupervised Fusion Model

    Recently, load forecasting based on machine learning and artificial intelligence has shown great promise. As an individual with high power load, the accurate load forecasting of the special transformer users c...

    Yuanyang Tang, Liang Yu, Zhenjiang Pang in Artificial Intelligence and Mobile Service… (2023)

  12. Article

    Open Access

    Causal Reasoning Meets Visual Representation Learning: A Prospective Study

    Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis, human-computer interaction, and urban computing. Due ...

    Yang Liu, Yu-Shen Wei, Hong Yan, Guan-Bin Li, Liang Lin in Machine Intelligence Research (2022)

  13. No Access

    Article

    Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention

    Medical concept normalization aims to construct a semantic map** between mentions and concepts and to uniformly represent mentions that belong to the same concept. In the large-scale biological literature da...

    Likeng Liang, Tianyong Hao, Choujun Zhan, Hong Qiu in Neural Computing and Applications (2022)

  14. No Access

    Article

    The design of error-correcting output codes algorithm for the open-set recognition

    The Open-Set recognition is an important topic in the pattern recognition research field. Different from the close-set recognition task, in the open-set recognition problem, the test data contains unknown clas...

    Kun-Hong Liu, Wang-** Zhan, Yi-Fan Liang, Ya-Nan Zhang in Applied Intelligence (2022)

  15. No Access

    Chapter and Conference Paper

    EEG Generation of Virtual Channels Using an Improved Wasserstein Generative Adversarial Networks

    Aiming at enhancing classification performance and improving user experience of a brain-computer interface (BCI) system, this paper proposes an improved Wasserstein generative adversarial networks (WGAN) metho...

    Ling-Long Li, Guang-Zhong Cao, Hong-Jie Liang in Intelligent Robotics and Applications (2022)

  16. No Access

    Chapter and Conference Paper

    An Improved Lightweight Traffic Sign Detection Model for Embedded Devices

    The target detection algorithm based on the YOLO-v4 model can realize real-time traffic signs because of high detection accuracy and fast detection speed. Owing to the lack of sufficient computing resources an...

    Yu Wenze, Liang Quan, Zhang Zicheng in Proceedings of the International Conferenc… (2022)

  17. No Access

    Chapter and Conference Paper

    Research on Evaluation Model of Social Network Information Management Based on Asymmetric Fuzzy Algorithm

    The existing evaluation model of the index system and the weight of each index is not perfect, leading ...

    yi-huo Jiang, Wen-bing Jiang, Hong-liang Ni in Advanced Hybrid Information Processing (2022)

  18. No Access

    Chapter and Conference Paper

    Research on Cost-Benefit Evaluation Model of Social Security Project Based on Fuzzy Entropy

    At present, there is no uniform standard for the cost estimation of social security projects for reference, and the cost composition and estimation contents of projects under the self-management mode of all re...

    yi-huo Jiang, Wen-bing Jiang, Hong-liang Ni in Advanced Hybrid Information Processing (2022)

  19. No Access

    Chapter and Conference Paper

    Research on Vehicle Detection Algorithm Based on Improved YOLO

    Object detection algorithm has high recognition accuracy and fast detection speed, but there are also obvious problems. The positioning is inaccurate because the network uses an end-to-end model that generates...

    ****g Hu, Quan Liang, Zicheng Zhang in Proceedings of the International Conferenc… (2022)

  20. No Access

    Chapter and Conference Paper

    Robust Neural Network Pruning by Cooperative Coevolution

    Convolutional neural networks have achieved success in various tasks, but often lack compactness and robustness, which are, however, required under resource-constrained and safety-critical environments. Previo...

    Jia-Liang Wu, Haopu Shang, Wen**g Hong in Parallel Problem Solving from Nature – PPS… (2022)

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