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Yuxuan Liang

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Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

Feb 29, 2024
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang

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BiVRec: Bidirectional View-based Multimodal Sequential Recommendation

Feb 27, 2024
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin

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Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

Feb 18, 2024
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

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Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

Feb 07, 2024
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You

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Deep Learning for Multivariate Time Series Imputation: A Survey

Feb 06, 2024
Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen

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Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts

Feb 06, 2024
Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang

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Position Paper: What Can Large Language Models Tell Us about Time Series Analysis

Feb 05, 2024
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

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Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Feb 02, 2024
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen

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Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification

Jan 22, 2024
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann

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MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting

Dec 31, 2023
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

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