Yunyao Cheng - RankMe

17 papers A* 2C 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. ICDE Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	J	`jnl`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. CoRR Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	—	`conf`	AutoTracker: A Traffic Sign Change Detection System. SIGSPATIAL/GIS Yunyao Cheng, Christian S. Jensen, Kristian Torp
2025	J	`jnl`	CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2025	J	`jnl`	Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs. CoRR Wei Li, Yunyao Cheng, Xinli Hao, Chaohong Ma, Yuxuan Liang, Bin Yang, Christian S. Jensen, Xiaofeng Meng
2025	J	`jnl`	Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions. CoRR Sean Bin Yang, Ying Sun, Yunyao Cheng, Yan Lin, Kristian Torp, Jilin Hu
2025	—	`conf`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. KDD (2) Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang
2024	J	`jnl`	A Memory Guided Transformer for Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen
2024	A*	`conf`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang
2023	J	`jnl`	MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 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
2023	J	`jnl`	Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
2023	J	`jnl`	Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
2022	J	`jnl`	A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2019	C	`conf`	Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection. ADMA Yunyao Cheng, Bin Wu, Li Song, Chuan Shi