Cross-Domain Data FusionLast updated on Aug 18, 2024Urban Computing STAISenior ResearcherMy research interests include deep learning, data mining, AI, big data analytics, and urban computing.RelatedPersonalized Federated Continual Learning via Multi-Granularity PromptSpatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature PredictionSpatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A SurveySpatio-Temporal Artificial Intelligence (STAI)EAST: Enhanced AutoML for Saptio-Temporal DataPublicationsDeep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and OutlookAs cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of …Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, and Yuxuan LiangCite Project DOI ArticleCross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendationIEEE TKDEJia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo ZhangPDF Cite Project DOI ArticleUrban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embeddingIEEE TKDEJia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo ZhangPDF Cite Project Project
