Xiangfei Qiu
Scholar

Xiangfei Qiu

Google Scholar ID: Hal0V_AAAAAJ
Master Student, East China Normal University
Time SeriesBenchmarkingSpatio-temporal Data
Citations & Impact
All-time
Citations
411
 
H-index
11
 
i10-index
11
 
Publications
13
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Paper “EDAD: An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data” accepted by ICDE 2026
  • Two papers (“SRSNet” & “DBLoss”) accepted to NeurIPS 2025 (including one Spotlight)
  • Paper “TAB: Unified Benchmarking of Time Series Anomaly Detection Methods” accepted by PVLDB 2025
  • Papers “TSFM-Bench”, “SSD-TS”, and “DUET” accepted by SIGKDD 2025
  • Paper “K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting” accepted as ICML 2025 Spotlight
  • Paper “CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching” accepted by ICLR 2025
  • Paper “EasyTime: Time Series Forecasting Made Easy” accepted by ICDE 2025
  • Paper “TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods” nominated for VLDB 2024 Best Research Paper Award
  • First place in Master Group of 2025 CCF Academic Show
  • National Scholarship recipient in both 2024 and 2025
  • Outstanding Reviewer for SIGKDD 2025 Research Track and Excellent Reviewer for Applied Data Science (ADS) Track
  • Co-created OpenTS, a leaderboard for time series analytics
Background
  • PhD student at School of Data Science and Engineering, East China Normal University (since Fall 2023)
  • Member of the Decision Intelligence Lab
  • Research interests include Time Series Analysis and Deep Learning
  • Currently working on foundation time series models and time series benchmarking
  • Dedicated to advancing intelligent systems that handle massive and complex temporal data in real-world domains such as finance, industry, and environment