Zhangjie Cao

According to our database, Zhangjie Cao authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

One Fits Many: Class Confusion Loss for Versatile Domain Adaptation.

Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

2023

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning.

Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

From Big to Small: Adaptive Learning to Partial-Set Domains.

Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations.

Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh

IROS, 2023

2022

Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models.

Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Weakly Supervised Correspondence Learning.

Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning from Imperfect Demonstrations via Adversarial Confidence Transfer.

Zhangjie Cao, Zihan Wang, Dorsa Sadigh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction.

Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Out-of-Dynamics Imitation Learning from Multimodal Demonstrations.

Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long

Proceedings of the Conference on Robot Learning, 2022

2021

Learning From Imperfect Demonstrations From Agents With Varying Dynamics.

Zhangjie Cao, Dorsa Sadigh

IEEE Robotics Autom. Lett., 2021

Transfer Reinforcement Learning Across Homotopy Classes.

Zhangjie Cao, Minae Kwon, Dorsa Sadigh

IEEE Robotics Autom. Lett., 2021

Omni-Training for Data-Efficient Deep Learning.

Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long

CoRR, 2021

Multi-agent Imitation Learning with Copulas.

Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality.

Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Zoo-Tuning: Adaptive Transfer from A Zoo of Models.

Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long

Proceedings of the 38th International Conference on Machine Learning, 2021

Open Domain Generalization with Domain-Augmented Meta-Learning.

Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSets: Meta-Learning on Point Sets for Generalizable Representations.

Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Query Selection for Active Domain Adaptation.

Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Feasibility to Imitate Demonstrators with Different Dynamics.

Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction.

Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles

IEEE Robotics Autom. Lett., 2020

Robust Learning Through Cross-Task Consistency.

Amir R. Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas

CoRR, 2020

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

Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning to Detect Open Classes for Universal Domain Adaptation.

Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.

Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Robust Learning Through Cross-Task Consistency.

Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot Video Classification via Temporal Alignment.

Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transferring Pretrained Networks to Small Data via Category Decorrelation.

Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Adversarial Cross-Domain Action Recognition with Co-Attention.

Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows.

Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Transferable Representation Learning with Deep Adaptation Networks.

Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

IEEE Trans. Pattern Anal. Mach. Intell., 2019

AlignFlow: Learning from multiple domains via normalizing flows.

Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Universal Domain Adaptation.

Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation.

Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Transfer Examples for Partial Domain Adaptation.

Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Transferable Curriculum for Weakly-Supervised Domain Adaptation.

Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Conditional Adversarial Domain Adaptation.

Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Priority Hashing.

Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Partial Adversarial Domain Adaptation.

Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

Partial Transfer Learning With Selective Adversarial Networks.

Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Adversarial Domain Adaptation.

Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transfer Adversarial Hashing for Hamming Space Retrieval.

Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Domain Adaptation with Randomized Multilinear Adversarial Networks.

Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

CoRR, 2017

Learning Multiple Tasks with Multilinear Relationship Networks.

Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

HashNet: Deep Learning to Hash by Continuation.

Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Computer Vision, 2017

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.

Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

3D Object Classification via Spherical Projections.

Zhangjie Cao, Qixing Huang, Karthik Ramani

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.

Zhangjie Cao, Mingsheng Long, Qiang Yang

CoRR, 2016