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2020 – today
- 2025
[j3]Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu, Christian S. Jensen, Bin Yang:
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. Proc. VLDB Endow. 18(9): 2775-2789 (2025)- [c4]Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu
, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang:
EasyTime: Time Series Forecasting Made Easy. ICDE 2025: 4564-4567 - [c3]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. ICLR 2025 - [c2]Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, Jilin Hu:
SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation. KDD (2) 2025: 649-660 - [c1]Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang:
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. KDD (1) 2025: 1185-1196 - [i18]Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo:
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. CoRR abs/2502.10721 (2025) - [i17]Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang:
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. CoRR abs/2505.11250 (2025) - [i16]Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo:
K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. CoRR abs/2505.23017 (2025) - [i15]Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu, Christian S. Jensen, Bin Yang:
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. CoRR abs/2506.18046 (2025) - [i14]Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu:
DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables. CoRR abs/2509.14933 (2025) - [i13]Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang:
Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics. CoRR abs/2509.22279 (2025) - [i12]Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu:
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting. CoRR abs/2509.23313 (2025) - [i11]Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu:
Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting. CoRR abs/2509.23668 (2025) - [i10]Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang:
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective. CoRR abs/2510.14510 (2025) - [i9]Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang:
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version. CoRR abs/2510.18998 (2025) - [i8]Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang:
DBLoss: Decomposition-based Loss Function for Time Series Forecasting. CoRR abs/2510.23672 (2025) - 2024
- [j2]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17(9): 2363-2377 (2024) - [j1]Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen:
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33(5): 1743-1770 (2024) - [i7]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR abs/2403.20150 (2024) - [i6]Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i5]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR abs/2410.12261 (2024) - [i4]Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang:
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. CoRR abs/2410.13338 (2024) - [i3]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - [i2]Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang:
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. CoRR abs/2412.10859 (2024) - [i1]Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang:
EasyTime: Time Series Forecasting Made Easy. CoRR abs/2412.17603 (2024)
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