Haoang Chi

Orcid: 0000-0002-2644-3323

According to our database1, Haoang Chi authored at least 16 papers between 2021 and 2024.

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Bibliography

2024
Does Confusion Really Hurt Novel Class Discovery?
Int. J. Comput. Vis., August, 2024

Look Within, Why LLMs Hallucinate: A Causal Perspective.
CoRR, 2024

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing.
Proceedings of the IEEE International Conference on Acoustics, 2024

Scaling Few-Shot Learning for the Open World.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Are All Unseen Data Out-of-Distribution?
CoRR, 2023

Treatment Effect Estimation with Adjustment Feature Selection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Domain Specified Optimization for Deployment Authorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification.
CoRR, 2022

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy-Preserving Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A robust quadruple adaptation network in few-shot scenarios.
Knowl. Based Syst., 2021

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
CoRR, 2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Agent Combat in Non-Stationary Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021

Identity-Based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021


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