Yunbo Wang
Tenured Track Associate Professor
Works on world models, high-dimensional spatiotemporal prediction and model-based reinforcement learning.
Yunbo Wang's lab at SJTU works on reinforcement learning and learning theory & optimization. 24 papers since 2023, 17 at top venues, mostly ICML and TPAMI. 12 PhD students and 1 master's student. 9 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 71%
- PhD students
- 12
- MS students
- 1
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 7 · collecting
- 7 papers2025 · T1 4
- 4 papers2024 · T1 3
- 5 papers2023 · T1 3
T1 venuesOtherVenues: ICML, TPAMI, CVPR, ICLR, NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning18 papers
- Learning theory & optimization18 papers
- model-based3 papers
- world models3 papers
- spatiotemporal1 paper
Paper list
From the lab homepage.
20268 papers
- CVPR (T1)EMGauss: Continuous Slice-to-3D Reconstruction via Dynamic Gaussian Modeling in Volume Electron Microscopy
- CVPR (T1)Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
- ICML OralLASER: Learning Active Sensing for Continuum Field Reconstruction
- ICML (T1)Learning Reward–Cost Balance in Safe RL via Score-Based World Models
- ICML (T1)Learning Transferable Interaction Primitives from Game Videos for Humanoid Locomotion
- AAAI (T1)MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data
- NeurIPS (T1)NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation
- ICML (T1)ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning
20257 papers
- ECMLContinual Visual Reinforcement Learning with A Life-Long World Model
- ICCV (T1)Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
- TPAMI (T1)Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering
- ICML (T1)EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
- NeurIPS SpotlightMetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
- ICLR OralOpen-World Reinforcement Learning over Long Short-Term Imagination
- ICML (T1)Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
20244 papers
- ICLR (T1)DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
- ICLR (T1)Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
- NeurIPS (T1)Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
- ECMLModel-Based Reinforcement Learning with Multi-Task Offline Pretraining
20235 papers
- Pattern RecognitionFully Context-Aware Image Inpainting with a Learned Semantic Pyramid
- PRCVImproving Masked Autoencoders by Learning Where to Mask
- TPAMI (T1)Model-Based Reinforcement Learning with Isolated Imaginations
- TPAMI (T1)ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning
- IJCAI (T1)StockFormer: Learning Hybrid Trading Machines with Predictive Coding
Where alumni went9 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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