Zhangjie Cao

发表

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Juan Carlos Niebles, Ehsan Adeli, Adrien Gaidon, 2020, IEEE Robotics and Automation Letters.

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Lantao Yu, Yong Yu, Weinan Zhang, 2020, ECAI.

Learning to Transfer Examples for Partial Domain Adaptation

Jianmin Wang, Qiang Yang, Mingsheng Long, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transferable Curriculum for Weakly-Supervised Domain Adaptation

Jianmin Wang, Mingsheng Long, Yang Shu, 2019, AAAI.

Domain Adaptation with Randomized Multilinear Adversarial Networks pdf

Michael I. Jordan, Mingsheng Long, Zhangjie Cao, 2017, ArXiv.

False data injection attacks detection on power systems with convolutional neural network

Min Lu, Zhangjie Cao, Lijian Wang, 2020, Journal of Physics: Conference Series.

Transferable Representation Learning with Deep Adaptation Networks

Yue Cao, Michael I. Jordan, Mingsheng Long, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

AlignFlow: Learning from multiple domains via normalizing flows

Stefano Ermon, Zhangjie Cao, Aditya Grover, 2019, DGS@ICLR.

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving pdf

Dorsa Sadigh, Adrien Gaidon, Zhangjie Cao, 2020, Robotics: Science and Systems.

Multi-Adversarial Domain Adaptation pdf

Jianmin Wang, Mingsheng Long, Zhangjie Cao, 2018, AAAI.

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

Stefano Ermon, Zhangjie Cao, Aditya Grover, 2019, AAAI.

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

Xiangyu Zhang, Mingsheng Long, Chao Chen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Multiple Tasks with Multilinear Relationship Networks

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2015, NIPS.

Transferring Pretrained Networks to Small Data via Category Decorrelation

Mingsheng Long, Zhangjie Cao, Jianmin Wang, 2020, BMVC.

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

Hong Liu, Qiang Yang, Mingsheng Long, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Detect Open Classes for Universal Domain Adaptation

Mingsheng Long, Jianmin Wang, Bo Fu, 2020, ECCV.

Universal Domain Adaptation

Michael I. Jordan, Mingsheng Long, Jianmin Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Learning Through Cross-Task Consistency

Leonidas Guibas, Jitendra Malik, Zhangjie Cao, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HashNet: Deep Learning to Hash by Continuation

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Few-Shot Video Classification via Temporal Alignment

Juan Carlos Niebles, Kaidi Cao, Zhangjie Cao, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transitive Hashing Network for Heterogeneous Multimedia Retrieval

Mingsheng Long, Qiang Yang, Zhangjie Cao, 2017, AAAI.

3D Object Classification via Spherical Projections

Karthik Ramani, Qi-Xing Huang, Zhangjie Cao, 2017, 2017 International Conference on 3D Vision (3DV).

Adversarial Cross-Domain Action Recognition with Co-Attention pdf

Juan Carlos Niebles, Ehsan Adeli, Zhangjie Cao, 2019, AAAI.

Transfer Adversarial Hashing for Hamming Space Retrieval

Jianmin Wang, Chao Huang, Mingsheng Long, 2017, AAAI.

Conditional Adversarial Domain Adaptation

Michael I. Jordan, Mingsheng Long, Zhangjie Cao, 2017, NeurIPS.

Partial Adversarial Domain Adaptation pdf

Jianmin Wang, Mingsheng Long, Lijia Ma, 2018, ECCV.

Deep Priority Hashing

Philip S. Yu, Mingsheng Long, Jianmin Wang, 2018, ACM Multimedia.

Partial Transfer Learning with Selective Adversarial Networks

Jianmin Wang, Michael I. Jordan, Mingsheng Long, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning From Imperfect Demonstrations From Agents With Varying Dynamics

Dorsa Sadigh, Zhangjie Cao, Zhangjie Cao, 2021, IEEE Robotics and Automation Letters.

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

Zhangjie Cao, Yunbo Wang, Chao Huang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Open Domain Generalization with Domain-Augmented Meta-Learning

Zhangjie Cao, Jianmin Wang, Mingsheng Long, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transfer Reinforcement Learning Across Homotopy Classes

Dorsa Sadigh, Minae Kwon, Zhangjie Cao, 2021, IEEE Robotics and Automation Letters.

Zoo-Tuning: Adaptive Transfer from a Zoo of Models pdf

Zhangjie Cao, Jianmin Wang, Mingsheng Long, 2021, ICML.

Multi-Agent Imitation Learning with Copulas

Lantao Yu, Stefano Ermon, Zhangjie Cao, 2021, ECML/PKDD.