Xiangfei Qiu - RankMe

36 papers A* 4Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting. CoRR Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu
2026	J	`jnl`	GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables. CoRR Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
2026	J	`jnl`	LightGTS-Cov: Covariate-Enhanced Time Series Forecasting. CoRR Yong Shang, Zhipeng Yao, Ning Jin, Xiangfei Qiu, Hui Zhang, Bin Yang
2026	J	`jnl`	MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models. CoRR Xiaoyun Yu, Li Fan, Xiangfei Qiu, Nanqing Dong, Yonggui Huang, Honggang Qi, Geguang Pu, Wanli Ouyang, Xi Chen, Jilin Hu
2026	A*	`conf`	Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline. AAAI Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2026	J	`jnl`	SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement. CoRR Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu
2026	J	`jnl`	ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies. CoRR Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang
2026	J	`jnl`	TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation. CoRR Xingjian Wu, Junkai Lu, Zhe Li, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Christian S. Jensen, Bin Yang
2025	J	`jnl`	A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. CoRR Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo
2025	J	`jnl`	ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting. CoRR Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025	J	`jnl`	An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version. CoRR Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A*	`conf`	CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. ICLR Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2025	J	`jnl`	DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables. CoRR Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025	J	`jnl`	DBLoss: Decomposition-based Loss Function for Time Series Forecasting. CoRR Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
2025	—	`conf`	DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. KDD (1) Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2025	A*	`conf`	EasyTime: Time Series Forecasting Made Easy. ICDE 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
2025	J	`jnl`	Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective. CoRR Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting. CoRR Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	K CoRR Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025	A*	`conf`	K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. ICML Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025	J	`jnl`	Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting. CoRR Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu
2025	J	`jnl`	Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. CoRR Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2025	—	`conf`	SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation. KDD (2) Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, Jilin Hu
2025	J	`jnl`	TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. CoRR 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
2025	J	`jnl`	TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. Proc. VLDB Endow. 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
2025	—	`conf`	TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting. KDD (2) Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	J	`jnl`	Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics. CoRR Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang
2024	J	`jnl`	AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
2024	J	`jnl`	CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2024	J	`jnl`	DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. CoRR Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2024	J	`jnl`	DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. CoRR Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang
2024	J	`jnl`	EasyTime: Time Series Forecasting Made Easy. CoRR 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
2024	J	`jnl`	FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR 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
2024	J	`jnl`	MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo
2024	J	`jnl`	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
2024	J	`jnl`	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang