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  1. No Access

    Chapter and Conference Paper

    Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model

    Spatiotemporal prediction is a research topic in urban planning and management. Most existing spatiotemporal prediction models currently face challenges. More specifically, most prediction models are sensitive...

    Peixiao Wang, Hengcai Zhang, Feng Lu in Spatial Data and Intelligence (2024)

  2. No Access

    Article

    Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories

    Monitoring traffic conditions on urban signalized road networks is an essential component of urban traffic control systems. Due to the sparseness of trajectory data and the influence of signal timing, it is ch...

    Peixiao Wang, Tong Zhang, Tao Hu in Journal of Ambient Intelligence and Humanized Computing (2024)

  3. No Access

    Article

    CD147 regulates antitumor CD8+ T-cell responses to facilitate tumor-immune escape

    Negative regulation of antitumor T-cell-immune responses facilitates tumor-immune escape. Here, we show that deletion of CD147, a type I transmembrane molecule, in T cells, strongly limits in vivo tumor growth...

    Yatong Chen, **g Xu, **aodong Wu, Hui Yao, Zhou Yan… in Cellular & Molecular Immunology (2021)

  4. No Access

    Chapter and Conference Paper

    Predicting Indoor Location based on a Hybrid Markov-LSTM Model

    To overcome the problem of dimension curse in the processing of predicting indoor location by using the traditional Markov chains, this paper proposes a novel hybrid Markov-LSTM model to predict the indoor use...

    Peixiao Wang, Sheng Wu, Hengcai Zhang in Web and Wireless Geographical Information Systems (2020)