Mingsheng Long
- Papers
- 22
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Authored papers
22Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models
arXiv 2026
CompilerDream: Learning a Compiler World Model for General Code Optimization
arXiv 2024
RLVR-World: Training World Models with Reinforcement Learning
arXiv 2025
Sundial: A Family of Highly Capable Time Series Foundation Models
arXiv 2025
Trajectory World Models for Heterogeneous Environments
arXiv 2025
iVideoGPT: Interactive VideoGPTs are Scalable World Models
arXiv 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
arXiv 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
arXiv 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings
arXiv 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
arXiv 2024
Solving High-Dimensional PDEs with Latent Spectral Models
arXiv 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
arXiv 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
pre-training-contextualized-world-models-with
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
arXiv 2023
HarmonyDream: Task Harmonization Inside World Models
arXiv 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond
arXiv 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
forkmerge-mitigating-negative-transfer-in
Flowformer: Linearizing Transformers with Conservation Flows
arXiv 2022
Supported Policy Optimization for Offline Reinforcement Learning
arXiv 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
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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