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Jianmin Wang — most-cited papers & profile · Time Series
← authors
·
overview
Jianmin Wang
30
papers ·
2404
citations ·
82
h-index
Guizhou University of Finance and Economics · Tsinghua University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
2021 · 1326 citations
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
2022 · 436 citations
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
2022 · 263 citations
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
2024 · 60 citations
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
2023 · 38 citations
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
2023 · 30 citations
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
2018 · 22 citations
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
2024 · 21 citations
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
2024 · 5 citations
Timer: Generative Pre-trained Transformers Are Large Time Series Models
2024 · 5 citations
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
2025 · 3 citations
Sundial: A Family of Highly Capable Time Series Foundation Models
2025 · 1 citations
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
2024 · 1 citations
Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study
2025
CoRA: Covariate-Aware Adaptation of Time Series Foundation Models
2025
Top co-authors
Mingsheng Long
· 15
Haixu Wu
· 8
Guo Qin
· 5
Xiangdong Huang
· 5
Jiaxiang Dong
· 4
Yong Liu
· 4
Haixuan Liu
· 2
Haoran Zhang
· 2
Li Zhang
· 2
Yong Liu
· 2
Yunzhong Qiu
· 2
Zhi Chen
· 2
Topics
Transformer Forecasters
Foundation Models
Anomaly Detection
Domain — Energy/Weather
Linear & Patch Models
Domain — Finance
Probabilistic
Domain — Healthcare
nlin.CD
stat.ML