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Xiangfei Qiu

Observed name: Qiu, Xiangfei
ORCID: 0009-0000-4318-3925
Observed ORCID: 0009-0000-4318-3925
OpenAlex ID: A5058572131
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
2024 · Xiangfei Qiu, Jilin Hu, et al. · Proceedings of the VLDB Endowment · 167
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DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
2025 · Xiangfei Qiu, Xingjian Wu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 94
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AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting
2024 · Xinle Wu, Xingjian Wu, et al. · The VLDB Journal · 27
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TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
2025 · Xiangfei Qiu, Zhe Li, et al. · Proceedings of the VLDB Endowment · 24
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TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
2025 · Zhe Li, Xiangfei Qiu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 23
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SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
2025 · Hongfan Gao, Wangmeng Shen, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 12
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EasyTime: Time Series Forecasting Made Easy
2025 · Xiangfei Qiu, Xiuwen Li, et al. · IEEE International Conference on Data Engineering (ICDE) · 8
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
2025 · Xingjian Wu, Xiangfei Qiu, et al. · neural information processing systems · 5
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
2025 · Xiangfei Qiu, Xingjian Wu, et al. · neural information processing systems · 5
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline
2026 · Xvyuan Liu, Xiangfei Qiu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
2024 · Wu, Xingjian, Qiu, Xiangfei, et al. · arXiv (Cornell University) · 4
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A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
2026 · Xiangfei Qiu, Hanyin Cheng, et al. · International Joint Conference on Artificial Intelligence · 3
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Short-Term Optimal Scheduling of Power Grids Containing Pumped-Storage Power Station Based on Security Quantification
2024 · Hua Li, Xiangfei Qiu, et al. · Energies · 3
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MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
2024 · Hu, Shiyan, Zhao, Kai, et al. · arXiv (Cornell University) · 1
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ORBIT: Autoregressive Time Series Generation via Next Frequency-Band Prediction
2026 · Hou, Chunyi, Qiu, Xiangfei, et al. · arXiv (Cornell University)
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GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory
2026 · Yu, Xiaoyun, Qiu, Xiangfei, et al. · arXiv (Cornell University)
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HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling
2026 · Hou, Chunyi, Qiu, Xiangfei, et al. · arXiv (Cornell University)
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XMatch: Enhancing Covariate-Aware Time Series Forecasting through Tree-Structured Exogenous Matching
2026 · Zhang, Ziyang, Cheng, Hanyin, et al. · arXiv (Cornell University)
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BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting
2026 · Yan, Kangjia, Wang, Linfeng, et al. · arXiv (Cornell University)
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Aurora-X: Built for Extreme Time Series Forecasting
2026 · Wu, Xingjian, Guo, Chenjuan, et al. · arXiv (Cornell University)
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WorldTS: World Modeling for Multimodal Covariate-aware Time Series Forecasting
2026 · Zhu, Yuhan, Qiu, Xiangfei, et al. · arXiv (Cornell University)
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TFB-2: benchmarking and automated ensemble for time series forecasting
2026 · Zhengyu Li, Xingjian Wu, et al. · The VLDB Journal
MUSE: Dependency-Aware Adaptation of a Frozen Vision Backbone for Multivariate Time Series Forecasting
2026 · Cai, Xinying, Lu, Junkai, et al. · arXiv (Cornell University)
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MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models
2026 · Xiaoyun Yu, Li Fan, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting
2026 · Hanyin Cheng, Xingjian Wu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Works count: 48
Citation count: 380
H-index: 7
I10-index: 6
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