He Zhao
Orcid: 0000-0003-0894-2265Affiliations:
- Monash University, Faculty of Information Technology, Melbourne, Australia (PhD 2019)
According to our database1,
He Zhao
authored at least 56 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.
CoRR, 2024
2023
Neurocomputing, October, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Open-Vocabulary Multi-label Image Classification with Pretrained Vision-Language Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
2022
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.
CoRR, 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.
CoRR, 2020
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.
CoRR, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.
CoRR, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017