Jianmin Wang
- Papers
- 13
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Authored papers
13Thoth: Mid-Training Bridges LLMs to Time Series Understanding
arXiv 2026
CompilerDream: Learning a Compiler World Model for General Code Optimization
arXiv 2024
Sundial: A Family of Highly Capable Time Series Foundation Models
arXiv 2025
Timer: Generative Pre-trained Transformers Are Large Time Series Models
arXiv 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
arXiv 2024
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
arXiv 2024
CLIPood: Generalizing CLIP to Out-of-Distributions
arXiv 2023
HarmonyDream: Task Harmonization Inside World Models
arXiv 2023
Solving High-Dimensional PDEs with Latent Spectral Models
arXiv 2023
Supported Policy Optimization for Offline Reinforcement Learning
arXiv 2022
Flowformer: Linearizing Transformers with Conservation Flows
arXiv 2022
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
arXiv 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
NeurIPS 2021 12
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