Jianmin Wang
28
Papers
87
Total Citations
Papers (28)
Sundial: A Family of Highly Capable Time Series Foundation Models
ICML 2025arXiv
55
citations
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
ICML 2025arXiv
32
citations
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
ICML 2024
0
citations
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
ICML 2024
0
citations
Timer: Generative Pre-trained Transformers Are Large Time Series Models
ICML 2024
0
citations
HarmonyDream: Task Harmonization Inside World Models
ICML 2024arXiv
0
citations
Transolver: A Fast Transformer Solver for PDEs on General Geometries
ICML 2024arXiv
0
citations
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
ICML 2024arXiv
0
citations
Progressive Adversarial Networks for Fine-Grained Domain Adaptation
CVPR 2020
0
citations
Regressive Domain Adaptation for Unsupervised Keypoint Detection
CVPR 2021arXiv
0
citations
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions
CVPR 2021arXiv
0
citations
Transferable Query Selection for Active Domain Adaptation
CVPR 2021
0
citations
Open Domain Generalization with Domain-Augmented Meta-Learning
CVPR 2021arXiv
0
citations
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
CVPR 2021arXiv
0
citations
Learning to Detect Open Classes for Universal Domain Adaptation
ECCV 2020
0
citations
Minimum Class Confusion for Versatile Domain Adaptation
ECCV 2020
0
citations
Stochastic Normalization
NeurIPS 2020
0
citations
Co-Tuning for Transfer Learning
NeurIPS 2020
0
citations
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
NeurIPS 2020arXiv
0
citations
Learning to Adapt to Evolving Domains
NeurIPS 2020
0
citations
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
NeurIPS 2021arXiv
0
citations
Cycle Self-Training for Domain Adaptation
NeurIPS 2021arXiv
0
citations
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
NeurIPS 2022arXiv
0
citations
Supported Policy Optimization for Offline Reinforcement Learning
NeurIPS 2022arXiv
0
citations
Debiased Self-Training for Semi-Supervised Learning
NeurIPS 2022arXiv
0
citations
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
NeurIPS 2022arXiv
0
citations
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
NeurIPS 2023arXiv
0
citations
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
NeurIPS 2023arXiv
0
citations