Preprints
Adversarial Pyramid Network for Video Domain Generalization
Zhiyu Yao*, Yunbo Wang*, Xingqiang Du, Mingsheng Long, and Jianmin Wang
[PDF]
Publications
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao*, Yunbo Wang*, Mingsheng Long, and Jianmin Wang
ICML 2020 [PDF] [PyTorch Code]
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
Yunbo Wang*, Bo Liu*, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, and Joshua B. Tenenbaum
IJCAI 2020 [PDF] [Project Page] [PyTorch Code]
Probabilistic Video Prediction from Noisy Data with a Posterior Confidence
Yunbo Wang, Jiajun Wu, Mingsheng Long, and Joshua B. Tenenbaum
CVPR 2020 [PDF] [Project Page]
Progressive Adversarial Networks for Fine-Grained Domain Adaptation
Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, and Jianmin Wang
CVPR 2020 [PDF]
A Multi-Player Minimax Game for Diversifying Multi-Discriminators of Generative Adversarial Networks
Ying Jin, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, and Jiaguang Sun
ICME 2020 [PDF]
Multi-Task Learning of Generalizable Representations for Video Action Recognition
Zhiyu Yao*, Yunbo Wang*, Mingsheng Long, Jianmin Wang, Philip S. Yu, and Jiaguang Sun
ICME 2020 [PDF]
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Yunbo Wang*, Jianjin Zhang*, Hongyu Zhu, Mingsheng Long, Jianmin Wang, and Philip S. Yu
CVPR 2019 [PDF] [TensorFlow Code]
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, and Li Fei-Fei
ICLR 2019 [PDF] [Poster] [TensorFlow Code]
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, and Philip S. Yu
ICML 2018 [PDF] [TensorFlow Code]
PredCNN: Predictive Learning with Cascade Convolutions
Ziru Xu*, Yunbo Wang*, Mingsheng Long, and Jianmin Wang
IJCAI 2018 [PDF]
PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, and Philip S. Yu
NeurIPS 2017 [PDF] [PyTorch Code]
Spatiotemporal Pyramid Network for Video Action Recognition
Yunbo Wang, Mingsheng Long, Jianmin Wang, and Philip S. Yu
CVPR 2017 [PDF]
A Feasibility Study of Ray Tracing on Mobile GPUs
Yunbo Wang, Chunfeng Liu, and Yangdong Deng
SIGGRAPH Asia 2014 [PDF]
Academic Service
Research Intern, Google Inc.
Hosted by Lu Jiang and Ming-Hsuan Yang, Summer 2018
Paper Reviewing
TPAMI, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI
Yunbo WANGI am an assistant professor at Shanghai Jiao Tong University. I do research in deep learning, especially in the areas of predictive learning, spatiotemporal modeling, and model-based planning for POMDPs. I received my Ph.D. from Tsinghua University, advised by Prof. Philip S. Yu and Prof. Mingsheng Long, and my B.S. degree from Xi'an Jiaotong University. I also spent time in Prof. Joshua B. Tenenbaum's lab at MIT as a visiting researcher, working with Dr. Jiajun Wu. Email: yunbo.thu@gmail.com [Google Scholar] |
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