Zhangjie Cao - RankMe

76 papers A* 24A 3Misc 2Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	From Big to Small: Adaptive Learning to Partial-Set Domains. IEEE Trans. Pattern Anal. Mach. Intell. Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2023	A	`conf`	Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. IROS Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
2023	J	`jnl`	Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2022	J	`jnl`	From Big to Small: Adaptive Learning to Partial-Set Domains. CoRR Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. ICRA Zhangjie Cao, Zihan Wang, Dorsa Sadigh
2022	J	`jnl`	Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. CoRR Zhangjie Cao, Zihan Wang, Dorsa Sadigh
2022	A*	`conf`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	J	`jnl`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	J	`jnl`	Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. CoRR Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
2022	J	`jnl`	MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CoRR Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
2022	Misc	`conf`	Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRL Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
2022	J	`jnl`	Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRR Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
2022	A*	`conf`	Weakly Supervised Correspondence Learning. ICRA Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
2022	J	`jnl`	Weakly Supervised Correspondence Learning. CoRR Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
2021	A*	`conf`	Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. NeurIPS Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui
2021	J	`jnl`	Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. CoRR Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui
2021	Misc	`conf`	Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRL Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
2021	J	`jnl`	Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRR Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
2021	J	`jnl`	Learning From Imperfect Demonstrations From Agents With Varying Dynamics. IEEE Robotics Autom. Lett. Zhangjie Cao, Dorsa Sadigh
2021	J	`jnl`	Learning from Imperfect Demonstrations from Agents with Varying Dynamics. CoRR Zhangjie Cao, Dorsa Sadigh
2021	A*	`conf`	MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CVPR Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Multi-Agent Imitation Learning with Copulas. CoRR Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
2021	—	`conf`	Multi-agent Imitation Learning with Copulas. ECML/PKDD (1) Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
2021	J	`jnl`	Omni-Training for Data-Efficient Deep Learning. CoRR Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Transfer Reinforcement Learning Across Homotopy Classes. IEEE Robotics Autom. Lett. Zhangjie Cao, Minae Kwon, Dorsa Sadigh
2021	J	`jnl`	Transfer Reinforcement Learning across Homotopy Classes. CoRR Zhangjie Cao, Minae Kwon, Dorsa Sadigh
2021	A*	`conf`	Transferable Query Selection for Active Domain Adaptation. CVPR Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2020	A*	`conf`	Adversarial Cross-Domain Action Recognition with Co-Attention. AAAI Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles
2020	A*	`conf`	AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. AAAI Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2020	A*	`conf`	Few-Shot Video Classification via Temporal Alignment. CVPR Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
2020	A	`conf`	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2020	—	`conf`	Learning to Detect Open Classes for Universal Domain Adaptation. ECCV (15) Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2020	—	`conf`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	J	`jnl`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	A*	`conf`	Robust Learning Through Cross-Task Consistency. CVPR Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas
2020	J	`jnl`	Robust Learning Through Cross-Task Consistency. CoRR Amir R. Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2020	A	`conf`	Transferring Pretrained Networks to Small Data via Category Decorrelation. BMVC Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2019	J	`jnl`	Adversarial Cross-Domain Action Recognition with Co-Attention. CoRR Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles
2019	J	`jnl`	AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. CoRR Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2019	—	`conf`	AlignFlow: Learning from multiple domains via normalizing flows. DGS@ICLR Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2019	J	`jnl`	Few-Shot Video Classification via Temporal Alignment. CoRR Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
2019	J	`jnl`	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2019	A*	`conf`	Learning to Transfer Examples for Partial Domain Adaptation. CVPR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Learning to Transfer Examples for Partial Domain Adaptation. CoRR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	A*	`conf`	Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	A*	`conf`	Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2019	J	`jnl`	Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2019	A*	`conf`	Universal Domain Adaptation. CVPR Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2018	A*	`conf`	Conditional Adversarial Domain Adaptation. NeurIPS Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2018	A*	`conf`	Deep Priority Hashing. ACM Multimedia Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Deep Priority Hashing. CoRR Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	Multi-Adversarial Domain Adaptation. AAAI Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2018	J	`jnl`	Multi-Adversarial Domain Adaptation. CoRR Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2018	—	`conf`	Partial Adversarial Domain Adaptation. ECCV (8) Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
2018	J	`jnl`	Partial Adversarial Domain Adaptation. CoRR Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	Partial Transfer Learning With Selective Adversarial Networks. CVPR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2018	A*	`conf`	Transfer Adversarial Hashing for Hamming Space Retrieval. AAAI Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
2017	—	`conf`	3D Object Classification via Spherical Projections. 3DV Zhangjie Cao, Qixing Huang, Karthik Ramani
2017	J	`jnl`	3D Object Classification via Spherical Projections. CoRR Zhangjie Cao, Qixing Huang, Karthik Ramani
2017	J	`jnl`	Domain Adaptation with Randomized Multilinear Adversarial Networks. CoRR Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2017	A*	`conf`	HashNet: Deep Learning to Hash by Continuation. ICCV Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	HashNet: Deep Learning to Hash by Continuation. CoRR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	—	`conf`	Learning Multiple Tasks with Multilinear Relationship Networks. NIPS Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	Partial Transfer Learning with Selective Adversarial Networks. CoRR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2017	J	`jnl`	Transfer Adversarial Hashing for Hamming Space Retrieval. CoRR Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
2017	A*	`conf`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2016	J	`jnl`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR Zhangjie Cao, Mingsheng Long, Qiang Yang