← Authors

Yunbo Wang

29 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (62) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) 🀝 Dynamic Duo (13) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (112) πŸ’Ž Century Club (27) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

CVPR (7) ICML (5) ICLR (4) IJCAI (4) NIPS (4) AAAI (3) ECCV (1) ICCV (1)

Top co-authors

Xiaokang Yang (14) Mingsheng Long (11) Jianmin Wang (8) Siyu Gao (4) Huayu Deng (3) Minting Pan (3) Wenjun Zeng (3) Xiangming Zhu (3) Qi Wang (3) Xin Jin (3)

Keywords

video prediction (6) world model (4) predictive learning (4) recurrent neural network (4) reinforcement learning (3) domain adaptation (3) transfer learning (2) offline reinforcement learning (2) spatiotemporal prediction (2) portfolio optimization (2) 3d vision (2) uncertainty quantification (2) unsupervised learning (2) temporal modeling (2) stock trading (2) action recognition (1) continual learning (1) feature learning (1) representation learning (1) temporal difference learning (1)

Papers

BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models AAAI 2026
MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data AAAI 2026
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025
Noisy Correspondence Rectification via Asymmetric Similarity Learning AAAI 2025
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions ICML 2025
Open-World Reinforcement Learning over Long Short-Term Imagination ICLR 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach ICML 2025
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NIPS 2024
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video ICLR 2024
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization ICLR 2024
StockFormer: Learning Hybrid Trading Machines with Predictive Coding IJCAI 2023
Continual Predictive Learning From Videos CVPR 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models NIPS 2022
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields ICML 2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction CVPR 2021
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NIPS 2021
Context-Aware Image Inpainting with Learned Semantic Priors IJCAI 2021
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation ECCV 2020
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence CVPR 2020
Progressive Adversarial Networks for Fine-Grained Domain Adaptation CVPR 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks ICML 2020
Eidetic 3D LSTM: A Model for Video Prediction and Beyond ICLR 2019
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics CVPR 2019
PredCNN: Predictive Learning with Cascade Convolutions IJCAI 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning ICML 2018
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs NIPS 2017
Spatiotemporal Pyramid Network for Video Action Recognition CVPR 2017