Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
AlignFlow: Auto cycle-consistent domain translations via normalizing flows
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon. 2019 Workshop DeepGenStruct.
Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan. Arxiv.
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu. International Conference on Computer Vision. ICCV 2017.
Multi-Adversarial Domain Adaptation
Zhongyi Pei*, Zhangjie Cao*, Mingsheng Long, Jianmin Wang. AAAI Conference on Artificial Intelligence AAAI 2018.
Partial Adversarial Domain Adaptation
Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang. European Conference on Computer Vision ECCV 2018.
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan. Conference on Computer Vision and Pattern Recognition CVPR 2018.
3D Object Classification via Spherical Projections
Zhangjie Cao, Qixing Huang, Ramani Karthik. International Conference on 3D Vision 3DV 2017.
Transfer Adversarial Hashing for Hamming Space Retrieval
Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang. AAAI Conference on Artificial Intelligence AAAI 2018.
Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Zhangjie Cao, Mingsheng Long, Qiang Yang. AAAI Conference on Artificial Intelligence AAAI 2017.'
Transferable Representation Learning with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Han Zhu, Michael I. Jordan. IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMI.
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu. Neural Information Processing Systems NIPS 2017.
Deep Priority Hashing
Zhangjie Cao, Mingsheng Long, Ziping Sun, Jianmin Wang. ACM Multimedia Conference ACM MM 2018.
Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang. AAAI Conference on Artificial Intelligence AAAI 2019.
Learning to Transfer Examples for Partial Domain Adaptation
Zhangjie Cao*, Kaichao You*, Mingsheng Long, Jianmin Wang, Qiang Yang. Conference on Computer Vision and Pattern Recognition CVPR 2019.
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Hong Liu*, Zhangjie Cao*, Mingsheng Long, Jianmin Wang, Qiang Yang. Conference on Computer Vision and Pattern Recognition CVPR 2019.
Universal Domain Adaptation
Kaichao You, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan. Conference on Computer Vision and Pattern Recognition CVPR 2019.
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 and Automation Letters RAL 2020.
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon. AAAI Conference on Artificial Intelligence AAAI 2020.
Adversarial Cross-Domain Action Recognition with Co-Attention
Boxiao Pan*, Zhangjie Cao*, Ehsan Adeli, Juan Carlos Niebles. AAAI Conference on Artificial Intelligence AAAI 2020.
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles. International Conference on Robotics and Automation ICRA 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. European Conference on Artificial Intelligence ECAI 2020.
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao, Jingwei Ji*, Zhangjie Cao*, Chien-Yi Chang, Juan Carlos Niebles. Conference on Computer Vision and Pattern Recognition CVPR 2020.
Robust Learning Through Cross-Task Consistency
Amir Zamir, Alexander Sax, Jitendra Malik, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Leonidas Guibas. Conference on Computer Vision and Pattern Recognition CVPR 2020. </p> </article> </div> Zhangjie Cao*, Erdem Bıyık*, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh. Robotics: Science and Systems 2020. Zhangjie Cao*, Minae Kwon*, Dorsa Sadigh. Robotics and Automation Letters (RA-L) with International Conference on Robotics and Automation (ICRA). Zhangjie Cao, Dorsa Sadigh. Robotics and Automation Letters (RA-L) with International Conference on Robotics and Automation (ICRA). Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh. Conference on Robot Learning CoRL 2021. Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Transfer Reinforcement Learning across Homotopy Classes
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Learning Feasibility to Imitate Demonstrators with Different Dynamics
talks
teaching