Haiwen Huang

According to our database1, Haiwen Huang authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks.
CoRR, 2024

SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization.
CoRR, 2024

2023
GOOD: Exploring geometric cues for detecting objects in an open world.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Scalable Graph-Based Framework for Multi-Organ Histology Image Classification.
IEEE J. Biomed. Health Informatics, 2022

LSRML: A latent space regularization based meta-learning framework for MR image segmentation.
Pattern Recognit., 2022

MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Feature Regularization Based Meta-Learning Framework for Generalizing Prostate Mri Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Decomposing Representations for Deterministic Uncertainty Estimation.
CoRR, 2021

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective.
CoRR, 2021

MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Feature Space Singularity for Out-of-Distribution Detection.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2019
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate.
CoRR, 2018


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