Yunyao Cheng

According to our database, Yunyao Cheng authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions.

Sean Bin Yang, Ying Sun, Yunyao Cheng, Yan Lin, Kristian Torp, Jilin Hu

CoRR, November, 2025

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting.

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

IEEE Trans. Knowl. Data Eng., August, 2025

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting.

Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, August, 2025

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs.

Wei Li, Yunyao Cheng, Xinli Hao, Chaohong Ma, Yuxuan Liang, Bin Yang, Christian S. Jensen, Xiaofeng Meng

CoRR, June, 2025

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.

Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification.

Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

AutoTracker: A Traffic Sign Change Detection System.

Yunyao Cheng, Christian S. Jensen, Kristian Torp

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

A Memory Guided Transformer for Time Series Forecasting.

Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen

Proc. VLDB Endow., October, 2024

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.

Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang

CoRR, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multiple Time Series Forecasting with Dynamic Graph Modeling.

Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang

Proc. VLDB Endow., December, 2023

Weakly Guided Adaptation for Robust Time Series Forecasting.

Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., December, 2023

MagicScaler: Uncertainty-aware, Predictive Autoscaling.

Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang

Proc. VLDB Endow., 2023

2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting.

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

CoRR, 2022

2019

Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection.

Yunyao Cheng, Bin Wu, Li Song, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019