Transitive Hashing Network for Heterogeneous Multimedia Retrieval. - Zhangjie Cao; Mingsheng Long; Qiang Yang 001 (CoRR, 2016)

3D Object Classification via Spherical Projections. - Zhangjie Cao; Qixing Huang; Karthik Ramani (3DV, 2017)

Transitive Hashing Network for Heterogeneous Multimedia Retrieval. - Zhangjie Cao; Mingsheng Long; Jianmin Wang 001; Qiang Yang 001 (AAAI, 2017)

HashNet: Deep Learning to Hash by Continuation. - Zhangjie Cao; Mingsheng Long; Jianmin Wang 001; Philip S. Yu (ICCV, 2017)

Learning Multiple Tasks with Multilinear Relationship Networks. - Mingsheng Long; Zhangjie Cao; Jianmin Wang 001; Philip S. Yu (NIPS, 2017)

Domain Adaptation with Randomized Multilinear Adversarial Networks. - Mingsheng Long; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (CoRR, 2017)

Transfer Adversarial Hashing for Hamming Space Retrieval. - Zhangjie Cao; Mingsheng Long; Chao Huang; Jianmin Wang 001 (AAAI, 2018)

Multi-Adversarial Domain Adaptation. - Zhongyi Pei; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001 (AAAI, 2018)

Partial Transfer Learning With Selective Adversarial Networks. - Zhangjie Cao; Mingsheng Long; Jianmin Wang 001; Michael I. Jordan (CVPR, 2018)

Partial Adversarial Domain Adaptation. - Zhangjie Cao; Lijia Ma; Mingsheng Long; Jianmin Wang 001 (ECCV (8), 2018)

Deep Priority Hashing. - Zhangjie Cao; Ziping Sun; Mingsheng Long; Jianmin Wang 001; Philip S. Yu (ACM Multimedia, 2018)

Conditional Adversarial Domain Adaptation. - Mingsheng Long; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (NeurIPS, 2018)

Transferable Curriculum for Weakly-Supervised Domain Adaptation. - Yang Shu 001; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001 (AAAI, 2019)

Learning to Transfer Examples for Partial Domain Adaptation. - Zhangjie Cao; Kaichao You; Mingsheng Long; Jianmin Wang 001; Qiang Yang 001 (CVPR, 2019)

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. - Hong Liu; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001; Qiang Yang 001 (CVPR, 2019)

Universal Domain Adaptation. - Kaichao You; Mingsheng Long; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (CVPR, 2019)

AlignFlow: Learning from multiple domains via normalizing flows. - Aditya Grover; Christopher Chute; Rui Shu; Zhangjie Cao; Stefano Ermon (DGS@ICLR, 2019)

Transferable Representation Learning with Deep Adaptation Networks. - Mingsheng Long; Yue Cao 001; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. - Aditya Grover; Christopher Chute; Rui Shu; Zhangjie Cao; Stefano Ermon (AAAI, 2020)

Adversarial Cross-Domain Action Recognition with Co-Attention. - Boxiao Pan; Zhangjie Cao; Ehsan Adeli 001; Juan Carlos Niebles (AAAI, 2020)

Transferring Pretrained Networks to Small Data via Category Decorrelation. - Ying Jin; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001 (BMVC, 2020)

Few-Shot Video Classification via Temporal Alignment. - Kaidi Cao; Jingwei Ji; Zhangjie Cao; Chien-Yi Chang; Juan Carlos Niebles (CVPR, 2020)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CVPR, 2020)

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. - Yuxuan Song; Lantao Yu; Zhangjie Cao; Zhiming Zhou 001; Jian Shen 003; Shuo Shao 001; Weinan Zhang 001; Yong Yu 001 (ECAI, 2020)

Learning to Detect Open Classes for Universal Domain Adaptation. - Bo Fu; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001 (ECCV (15), 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 (Robotics: Science and Systems, 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)

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. - Bingbin Liu; Ehsan Adeli 001; Zhangjie Cao; Kuan-Hui Lee; Abhijeet Shenoi; Adrien Gaidon; Juan Carlos Niebles (IEEE Robotics Autom. Lett., 2020)

Learning Feasibility to Imitate Demonstrators with Different Dynamics. - Zhangjie Cao; Yilun Hao; Mengxi Li; Dorsa Sadigh (CoRL, 2021)

Transferable Query Selection for Active Domain Adaptation. - Bo Fu; Zhangjie Cao; Jianmin Wang 001; Mingsheng Long (CVPR, 2021)

MetaSets: Meta-Learning on Point Sets for Generalizable Representations. - Chao Huang; Zhangjie Cao; Yunbo Wang; Jianmin Wang 001; Mingsheng Long (CVPR, 2021)

Open Domain Generalization with Domain-Augmented Meta-Learning. - Yang Shu 001; Zhangjie Cao; Chenyu Wang; Jianmin Wang 001; Mingsheng Long (CVPR, 2021)

Zoo-Tuning: Adaptive Transfer from A Zoo of Models. - Yang Shu 001; Zhi Kou; Zhangjie Cao; Jianmin Wang 001; Mingsheng Long (ICML, 2021)

Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality. - Songyuan Zhang; Zhangjie Cao; Dorsa Sadigh; Yanan Sui (NeurIPS, 2021)

Multi-agent Imitation Learning with Copulas. - Hongwei Wang 004; Lantao Yu; Zhangjie Cao; Stefano Ermon (ECML/PKDD (1), 2021)

Omni-Training for Data-Efficient Deep Learning. - Yang Shu 001; Zhangjie Cao; Jinghan Gao; Jianmin Wang 001; Mingsheng Long (CoRR, 2021)

Transfer Reinforcement Learning Across Homotopy Classes. - Zhangjie Cao; Minae Kwon; Dorsa Sadigh (IEEE Robotics Autom. Lett., 2021)

Learning From Imperfect Demonstrations From Agents With Varying Dynamics. - Zhangjie Cao; Dorsa Sadigh (IEEE Robotics Autom. Lett., 2021)

Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. - Yiwen Qiu; Jialong Wu 001; Zhangjie Cao; Mingsheng Long (CoRL, 2022)

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. - Zhangjie Cao; Erdem Biyik; Guy Rosman; Dorsa Sadigh (ICRA, 2022)

Learning from Imperfect Demonstrations via Adversarial Confidence Transfer. - Zhangjie Cao; Zihan Wang; Dorsa Sadigh (ICRA, 2022)

Weakly Supervised Correspondence Learning. - Zihan Wang; Zhangjie Cao; Yilun Hao; Dorsa Sadigh (ICRA, 2022)

Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. - Yang Shu 001; Zhangjie Cao; Ziyang Zhang; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2022)

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. - Yilun Hao; Ruinan Wang; Zhangjie Cao; Zihan Wang; Yuchen Cui; Dorsa Sadigh (IROS, 2023)

From Big to Small: Adaptive Learning to Partial-Set Domains. - Zhangjie Cao; Kaichao You; Ziyang Zhang; Jianmin Wang 001; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. - Yang Shu 001; Zhangjie Cao; Jinghan Gao; Jianmin Wang 001; Philip S. Yu; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. - Ying Jin; Zhangjie Cao; Ximei Wang; Jianmin Wang 001; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2024)