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HashNet: Deep Learning to Hash by Continuation

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.5609-5618

2017

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Learning to Detect Open Classes for Universal Domain Adaptation

Computer Vision - ECCV 2020, 2020, Vol.12360, p.567-583

2020

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Learning to Transfer Examples for Partial Domain Adaptation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.2980-2989

2019

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Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.2922-2931

2019

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Partial Adversarial Domain Adaptation

Computer Vision – ECCV 2018, p.139-155

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Transferable Representation Learning with Deep Adaptation Networks

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.3071-3085

2019

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Learning From Imperfect Demonstrations From Agents With Varying Dynamics

IEEE robotics and automation letters, 2021-07, Vol.6 (3), p.5231-5238

2021

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Partial Transfer Learning with Selective Adversarial Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.2724-2732

2018

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Open Domain Generalization with Domain-Augmented Meta-Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.9619-9628

2021

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

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.1766-1780

2023

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One Fits Many: Class Confusion Loss for Versatile Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence, 2024-04, Vol.PP, p.1-16

2024

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Universal Domain Adaptation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.2715-2724

2019

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

IEEE transactions on pattern analysis and machine intelligence, 2023-12, Vol.45 (12), p.15275-15291

2023

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Transferable Query Selection for Active Domain Adaptation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.7268-7277

2021

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Transfer Reinforcement Learning Across Homotopy Classes

IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.2706-2713

2021

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MetaSets: Meta-Learning on Point Sets for Generalizable Representations

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.8859-8868

2021

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False data injection attacks detection on power systems with convolutional neural network

Journal of physics. Conference series, 2020-09, Vol.1633 (1), p.12134

2020

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Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

IEEE robotics and automation letters, 2020-04, Vol.5 (2), p.3484-3491

2020

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Control strategy of large-scale DFIG-based wind farm for power grid frequency regulation

Proceedings of the 31st Chinese Control Conference, 2012, p.6835-6840

2012

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Robust Learning Through Cross-Task Consistency

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.11194-11203

2020

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Learning from Imperfect Demonstrations

Cao, Zhangjie

2022

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Multi-agent Imitation Learning with Copulas

Machine Learning and Knowledge Discovery in Databases. Research Track, p.139-156

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Few-Shot Video Classification via Temporal Alignment

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.10615-10624

2020

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Field-circuit Coupled Modeling of a Novel Continuous Reactive Power Controllable Device for Power Flow Optimization

Journal of physics. Conference series, 2021-02, Vol.1754 (1), p.12121

2021

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

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, p.1-7

2023

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HashNet: Deep Learning to Hash by Continuation

Learning to Detect Open Classes for Universal Domain Adaptation

Learning to Transfer Examples for Partial Domain Adaptation

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

Partial Adversarial Domain Adaptation

Transferable Representation Learning with Deep Adaptation Networks

Learning From Imperfect Demonstrations From Agents With Varying Dynamics

Partial Transfer Learning with Selective Adversarial Networks

Open Domain Generalization with Domain-Augmented Meta-Learning

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

One Fits Many: Class Confusion Loss for Versatile Domain Adaptation

Universal Domain Adaptation

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

Transferable Query Selection for Active Domain Adaptation

Transfer Reinforcement Learning Across Homotopy Classes

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

False data injection attacks detection on power systems with convolutional neural network

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Control strategy of large-scale DFIG-based wind farm for power grid frequency regulation

Robust Learning Through Cross-Task Consistency

Learning from Imperfect Demonstrations

Multi-agent Imitation Learning with Copulas

Few-Shot Video Classification via Temporal Alignment

Field-circuit Coupled Modeling of a Novel Continuous Reactive Power Controllable Device for Power Flow Optimization

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

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