Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection. - Yunyao Cheng 001; Bin Wu 001; Li Song; Chuan Shi 001 (ADMA, 2019)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

MagicScaler: Uncertainty-aware, Predictive Autoscaling. - Zhicheng Pan; Yihang Wang 004; Yingying Zhang; Sean Bin Yang; Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Qingsong Wen; Xiduo Tian; Yunliang Dou; Zhiqiang Zhou; Chengcheng Yang; et al. (Proc. VLDB Endow., 2023)

Weakly Guided Adaptation for Robust Time Series Forecasting. - Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Kai Zhao 009; Qingsong Wen; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2023)

Multiple Time Series Forecasting with Dynamic Graph Modeling. - Kai Zhao 009; Chenjuan Guo; Yunyao Cheng 001; Peng Han 005; Miao Zhang; Bin Yang 002 (Proc. VLDB Endow., 2023)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. - Peng Chen 038; Yingying Zhang; Yunyao Cheng 001; Yang Shu 001; Yihang Wang 004; Qingsong Wen; Bin Yang 002; Chenjuan Guo (ICLR, 2024)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. - Kai Zhao 009; Zhihao Zhuang; Chenjuan Guo; Hao Miao 001; Yunyao Cheng 001; Bin Yang 002 (CoRR, 2024)

A Memory Guided Transformer for Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Bin Yang 002; Haomin Yu; Kai Zhao 009; Christian S. Jensen (Proc. VLDB Endow., 2024)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. - Yuxuan Chen; Shanshan Huang; Yunyao Cheng 001; Peng Chen 038; Zhongwen Rao; Yang Shu 001; Bin Yang 002; Lujia Pan; Chenjuan Guo (ICDE, 2025)

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs. - Wei Li; Yunyao Cheng 001; Xinli Hao; Chaohong Ma; Yuxuan Liang; Bin Yang 002; Christian S. Jensen; Xiaofeng Meng 001 (CoRR, 2025)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)