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)

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)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. - Zhe Li 011; Xiangfei Qiu; Peng Chen 038; Yihang Wang 004; Hanyin Cheng; Yang Shu 001; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang 002 (CoRR, 2024)

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. - Xingjian Wu; Xiangfei Qiu; Zhengyu Li; Yihang Wang 004; Jilin Hu; Chenjuan Guo; Hui Xiong 001; Bin Yang 002 (ICLR, 2025)

LightGTS: A Lightweight General Time Series Forecasting Model. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)