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Qingsong Wen

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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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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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Pathformer: Multi-scale transformers with Adaptive Pathways for Time Series Forecasting

Feb 04, 2024
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

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RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies

Feb 03, 2024
Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

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Explaining Time Series via Contrastive and Locally Sparse Perturbations

Jan 29, 2024
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

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HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting

Jan 10, 2024
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

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MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain

Nov 26, 2023
Feiyi Chen, Yingying zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng

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RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

Oct 25, 2023
Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen

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When Urban Region Profiling Meets Large Language Models

Oct 22, 2023
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

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Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Oct 20, 2023
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong

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