Awesome Time Series
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Chenjuan Guo — most-cited papers & profile · Time Series
← authors
·
overview
Chenjuan Guo
30
papers ·
186
citations ·
34
h-index
East China Normal University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
2024 · 96 citations
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
2024 · 37 citations
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
2022 · 18 citations
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results
2018 · 17 citations
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
2021 · 4 citations
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version
2022 · 4 citations
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
2024 · 2 citations
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
2025 · 1 citations
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
2024 · 1 citations
Fully Automated Correlated Time Series Forecasting in Minutes
2024 · 1 citations
Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
2026
TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
2026
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
2025
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
2025
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
2025
Top co-authors
Bin Yang
· 14
Xiangfei Qiu
· 11
Xingjian Wu
· 10
Jilin Hu
· 7
Peng Chen
· 6
Christian S. Jensen
· 5
Yihang Wang
· 5
Aoying Zhou
· 4
Hanyin Cheng
· 4
Razvan-Gabriel Cirstea
· 4
Yang Shu
· 4
Yunyao Cheng
· 4
Topics
cs.LG
Foundation Models
Domain — Finance
Probabilistic
stat.ML
Domain — Energy/Weather
Anomaly Detection
cs.AI
Transformer Forecasters
Linear & Patch Models