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Bin Yang

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TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

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Apr 08, 2024
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang

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Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

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Mar 24, 2024
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock

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An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

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Feb 27, 2024
George Eskandar, Chongzhe Zhang, Abhishek Kaushik, Karim Guirguis, Mohamed Sayed, Bin Yang

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GenSTL: General Sparse Trajectory Learning via Auto-regressive Generation of Feature Domains

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Feb 11, 2024
Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan

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

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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

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

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COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation

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Jan 31, 2024
Pascal Schlachter, Bin Yang

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Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation

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Jan 02, 2024
Mario Döbler, Florian Marencke, Robert A. Marsden, Bin Yang

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TULIP: Transformer for Upsampling of LiDAR Point Cloud

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Dec 14, 2023
Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

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