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2020 – today
- 2023
[j6]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): 1766-1780 (2023)- [j5]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): 15275-15291 (2023) - 2022
- [c35]Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long:
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRL 2022: 1071-1080 - [c34]Zhangjie Cao, Zihan Wang, Dorsa Sadigh:
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. ICRA 2022: 441-447 - [c33]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. ICRA 2022: 469-476 - [c32]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA 2022: 10723-10730 - [c31]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS 2022 - [i33]Zhangjie Cao, Zihan Wang, Dorsa Sadigh:
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. CoRR abs/2202.02967 (2022) - [i32]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. CoRR abs/2203.00904 (2022) - [i31]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR abs/2203.04421 (2022) - [i30]Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
From Big to Small: Adaptive Learning to Partial-Set Domains. CoRR abs/2203.07375 (2022) - [i29]Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long:
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CoRR abs/2204.07311 (2022) - [i28]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR abs/2206.03726 (2022) - [i27]Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh:
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. CoRR abs/2209.07682 (2022) - [i26]Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long:
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRR abs/2211.06839 (2022) - 2021
- [j4]Zhangjie Cao, Minae Kwon, Dorsa Sadigh:
Transfer Reinforcement Learning Across Homotopy Classes. IEEE Robotics Autom. Lett. 6(2): 2706-2713 (2021) - [j3]Zhangjie Cao, Dorsa Sadigh:
Learning From Imperfect Demonstrations From Agents With Varying Dynamics. IEEE Robotics Autom. Lett. 6(3): 5231-5238 (2021) - [c30]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRL 2021: 363-372 - [c29]Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Transferable Query Selection for Active Domain Adaptation. CVPR 2021: 7272-7281 - [c28]Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long:
MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CVPR 2021: 8863-8872 - [c27]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR 2021: 9624-9633 - [c26]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML 2021: 9626-9637 - [c25]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. NeurIPS 2021: 12340-12350 - [c24]Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon:
Multi-agent Imitation Learning with Copulas. ECML/PKDD (1) 2021: 139-156 - [i25]Zhangjie Cao, Minae Kwon, Dorsa Sadigh:
Transfer Reinforcement Learning across Homotopy Classes. CoRR abs/2102.05207 (2021) - [i24]Zhangjie Cao, Dorsa Sadigh:
Learning from Imperfect Demonstrations from Agents with Varying Dynamics. CoRR abs/2103.05910 (2021) - [i23]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR abs/2104.03620 (2021) - [i22]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR abs/2106.15434 (2021) - [i21]Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon:
Multi-Agent Imitation Learning with Copulas. CoRR abs/2107.04750 (2021) - [i20]Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Omni-Training for Data-Efficient Deep Learning. CoRR abs/2110.07510 (2021) - [i19]Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui:
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. CoRR abs/2110.14754 (2021) - [i18]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRR abs/2110.15142 (2021) - 2020
- [j2]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): 3485-3492 (2020) - [c23]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. AAAI 2020: 4028-4035 - [c22]Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. AAAI 2020: 11815-11822 - [c21]Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferring Pretrained Networks to Small Data via Category Decorrelation. BMVC 2020 - [c20]Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. CVPR 2020: 10615-10624 - [c19]Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CVPR 2020: 11194-11203 - [c18]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: 1499-1506 - [c17]Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Learning to Detect Open Classes for Universal Domain Adaptation. ECCV (15) 2020: 567-583 - [c16]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 - [i17]Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles:
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR abs/2002.08945 (2020) - [i16]Amir R. 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 abs/2006.04096 (2020) - [i15]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 abs/2007.00178 (2020)
2010 – 2019
- 2019
- [j1]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): 3071-3085 (2019) - [c15]Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI 2019: 4951-4958 - [c14]Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Universal Domain Adaptation. CVPR 2019: 2720-2729 - [c13]Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR 2019: 2927-2936 - [c12]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CVPR 2019: 2985-2994 - [c11]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Learning from multiple domains via normalizing flows. DGS@ICLR 2019 - [i14]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CoRR abs/1903.12230 (2019) - [i13]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. CoRR abs/1905.12892 (2019) - [i12]Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. CoRR abs/1906.11415 (2019) - [i11]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 abs/1911.09310 (2019) - [i10]Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. CoRR abs/1912.10405 (2019) - 2018
- [c10]Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Multi-Adversarial Domain Adaptation. AAAI 2018: 3934-3941 - [c9]Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang:
Transfer Adversarial Hashing for Hamming Space Retrieval. AAAI 2018: 6698-6705 - [c8]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Partial Transfer Learning With Selective Adversarial Networks. CVPR 2018: 2724-2732 - [c7]Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang:
Partial Adversarial Domain Adaptation. ECCV (8) 2018: 139-155 - [c6]Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Deep Priority Hashing. ACM Multimedia 2018: 1653-1661 - [c5]Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Conditional Adversarial Domain Adaptation. NeurIPS 2018: 1647-1657 - [i9]Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang:
Partial Adversarial Domain Adaptation. CoRR abs/1808.04205 (2018) - [i8]Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Deep Priority Hashing. CoRR abs/1809.01238 (2018) - [i7]Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Multi-Adversarial Domain Adaptation. CoRR abs/1809.02176 (2018) - 2017
- [c4]Zhangjie Cao, Qixing Huang, Karthik Ramani:
3D Object Classification via Spherical Projections. 3DV 2017: 566-574 - [c3]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI 2017: 81-87 - [c2]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu:
HashNet: Deep Learning to Hash by Continuation. ICCV 2017: 5609-5618 - [c1]Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu:
Learning Multiple Tasks with Multilinear Relationship Networks. NIPS 2017: 1594-1603 - [i6]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu:
HashNet: Deep Learning to Hash by Continuation. CoRR abs/1702.00758 (2017) - [i5]Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Domain Adaptation with Randomized Multilinear Adversarial Networks. CoRR abs/1705.10667 (2017) - [i4]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Partial Transfer Learning with Selective Adversarial Networks. CoRR abs/1707.07901 (2017) - [i3]Zhangjie Cao, Qixing Huang, Karthik Ramani:
3D Object Classification via Spherical Projections. CoRR abs/1712.04426 (2017) - [i2]Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang:
Transfer Adversarial Hashing for Hamming Space Retrieval. CoRR abs/1712.04616 (2017) - 2016
- [i1]Zhangjie Cao, Mingsheng Long, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR abs/1608.04307 (2016)
Coauthor Index
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last updated on 2023-11-29 20:27 CET by the dblp team
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