Wang, Yunbo

27 publications

ECML-PKDD 2025 Continual Visual Reinforcement Learning with a Life-Long World Model Minting Pan, Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang
ICCV 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning Qi Wang, Zhipeng Zhang, Baao Xie, Xin Jin, Yunbo Wang, Shiyu Wang, Liaomo Zheng, Xiaokang Yang, Wenjun Zeng
ICML 2025 EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions Huayu Deng, Xiangming Zhu, Yunbo Wang, Xiaokang Yang
NeurIPS 2025 MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting Yumeng He, Yunbo Wang
AAAI 2025 Noisy Correspondence Rectification via Asymmetric Similarity Learning Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen
ICLR 2025 Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang
ICML 2025 Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Minting Pan, Yitao Zheng, Jiajian Li, Yunbo Wang, Xiaokang Yang
ICLR 2024 DynaVol: Unsupervised Learning for Dynamic Scenes Through Object-Centric Voxelization Yanpeng Zhao, Siyu Gao, Yunbo Wang, Xiaokang Yang
ICLR 2024 Latent Intuitive Physics: Learning to Transfer Hidden Physics from a 3D Video Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang
NeurIPS 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang
ECML-PKDD 2024 Model-Based Reinforcement Learning with Multi-Task Offline Pretraining Minting Pan, Yitao Zheng, Yunbo Wang, Xiaokang Yang
IJCAI 2023 StockFormer: Learning Hybrid Trading Machines with Predictive Coding Siyu Gao, Yunbo Wang, Xiaokang Yang
CVPR 2022 Continual Predictive Learning from Videos Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang
NeurIPS 2022 Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan, Xiangming Zhu, Yunbo Wang, Xiaokang Yang
ICML 2022 NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields Shanyan Guan, Huayu Deng, Yunbo Wang, Xiaokang Yang
CVPR 2021 Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang
IJCAI 2021 Context-Aware Image Inpainting with Learned Semantic Priors Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang
NeurIPS 2021 Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-Training Zeng Yihan, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma
CVPR 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
ECCV 2020 A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
IJCAI 2020 DualSMC: Tunneling Differentiable Filtering and Planning Under Continuous POMDPs Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum
ICML 2020 Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
ICLR 2019 Eidetic 3D LSTM: A Model for Video Prediction and Beyond Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei
IJCAI 2018 PredCNN: Predictive Learning with Cascade Convolutions Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang
ICML 2018 PredRNN++: Towards a Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S Yu
NeurIPS 2017 PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S Yu
CVPR 2017 Spatiotemporal Pyramid Network for Video Action Recognition Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu