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Chenjuan Guo

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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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LightPath: Lightweight and Scalable Path Representation Learning

Jul 19, 2023
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen

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A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction

Jun 09, 2023
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang

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LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version

Feb 24, 2023
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

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A Pattern Discovery Approach to Multivariate Time Series Forecasting

Dec 20, 2022
Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng

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AutoPINN: When AutoML Meets Physics-Informed Neural Networks

Dec 08, 2022
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang

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Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

Nov 29, 2022
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

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A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis

Sep 10, 2022
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen

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RetroGraph: Retrosynthetic Planning with Graph Search

Jun 23, 2022
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin

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Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

Apr 28, 2022
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan

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