Zhangjie Cao

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 75

Top Topics

Domain Adaptation

Imitation Learning

Multiple Domains

Top Venues

IEEE Robotics Autom. Lett.

Publications

Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
From Big to Small: Adaptive Learning to Partial-Set Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. IROS (2023)
Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zhangjie Cao, Zihan Wang, Dorsa Sadigh
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. CoRR (2022)
Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR (2022)
Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS (2022)
Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. CoRR (2022)
Zhangjie Cao, Zihan Wang, Dorsa Sadigh
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. ICRA (2022)
Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
From Big to Small: Adaptive Learning to Partial-Set Domains. CoRR (2022)
Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRL (2022)
Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR (2022)
Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CoRR (2022)
Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRR (2022)
Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
Weakly Supervised Correspondence Learning. ICRA (2022)
Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
Weakly Supervised Correspondence Learning. CoRR (2022)
Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA (2022)
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRR (2021)
Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR (2021)
Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR (2021)
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRL (2021)
Zhangjie Cao, Dorsa Sadigh
Learning From Imperfect Demonstrations From Agents With Varying Dynamics. IEEE Robotics Autom. Lett. 6 (3) (2021)
Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long
Transferable Query Selection for Active Domain Adaptation. CVPR (2021)
Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML (2021)
Zhangjie Cao, Minae Kwon, Dorsa Sadigh
Transfer Reinforcement Learning Across Homotopy Classes. IEEE Robotics Autom. Lett. 6 (2) (2021)
Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. NeurIPS (2021)
Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. CoRR (2021)
Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CVPR (2021)
Zhangjie Cao, Minae Kwon, Dorsa Sadigh
Transfer Reinforcement Learning across Homotopy Classes. CoRR (2021)
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
Multi-Agent Imitation Learning with Copulas. CoRR (2021)
Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR (2021)
Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
Omni-Training for Data-Efficient Deep Learning. CoRR (2021)
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
Multi-agent Imitation Learning with Copulas. ECML/PKDD (1) (2021)
Zhangjie Cao, Dorsa Sadigh
Learning from Imperfect Demonstrations from Agents with Varying Dynamics. CoRR (2021)
Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Transferring Pretrained Networks to Small Data via Category Decorrelation. BMVC (2020)
Amir Roshan Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas
Robust Learning Through Cross-Task Consistency. CoRR (2020)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. AAAI (2020)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI (2020)
Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR (2020)
Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles
Adversarial Cross-Domain Action Recognition with Co-Attention. AAAI (2020)
Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
Few-Shot Video Classification via Temporal Alignment. CVPR (2020)
Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Learning to Detect Open Classes for Universal Domain Adaptation. ECCV (15) (2020)
Amir Roshan Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas
Robust Learning Through Cross-Task Consistency. CVPR (2020)
Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems (2020)
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. 5 (2) (2020)
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR (2020)
Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles
Adversarial Cross-Domain Action Recognition with Co-Attention. CoRR (2019)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. CoRR (2019)
Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR (2019)
Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Universal Domain Adaptation. CVPR (2019)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Learning from multiple domains via normalizing flows. DGS@ICLR (2019)
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
Learning to Transfer Examples for Partial Domain Adaptation. CVPR (2019)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR (2019)
Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
Few-Shot Video Classification via Temporal Alignment. CoRR (2019)
Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI (2019)
Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
Learning to Transfer Examples for Partial Domain Adaptation. CoRR (2019)
Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
Partial Adversarial Domain Adaptation. ECCV (8) (2018)
Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
Deep Priority Hashing. ACM Multimedia (2018)
Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Multi-Adversarial Domain Adaptation. CoRR (2018)
Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Multi-Adversarial Domain Adaptation. AAAI (2018)
Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
Deep Priority Hashing. CoRR (2018)
Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
Transfer Adversarial Hashing for Hamming Space Retrieval. AAAI (2018)
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Conditional Adversarial Domain Adaptation. NeurIPS (2018)
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
Partial Transfer Learning With Selective Adversarial Networks. CVPR (2018)
Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
Partial Adversarial Domain Adaptation. CoRR (2018)
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
HashNet: Deep Learning to Hash by Continuation. CoRR (2017)
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
HashNet: Deep Learning to Hash by Continuation. ICCV (2017)
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
Partial Transfer Learning with Selective Adversarial Networks. CoRR (2017)
Zhangjie Cao, Qixing Huang, Karthik Ramani
3D Object Classification via Spherical Projections. CoRR (2017)
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu
Learning Multiple Tasks with Multilinear Relationship Networks. NIPS (2017)
Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
Transfer Adversarial Hashing for Hamming Space Retrieval. CoRR (2017)
Zhangjie Cao, Qixing Huang, Karthik Ramani
3D Object Classification via Spherical Projections. 3DV (2017)
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI (2017)
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Domain Adaptation with Randomized Multilinear Adversarial Networks. CoRR (2017)
Zhangjie Cao, Mingsheng Long, Qiang Yang
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR (2016)