Hangzhou He

Orcid: 0009-0009-3050-8773

According to our database1, Hangzhou He authored at least 13 papers between 2023 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
I<sup>2</sup>R: Inter and Intra-image Refinement in Few Shot Segmentation.
CoRR, July, 2025

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Enhancing Image Restoration Transformer via Adaptive Translation Equivariance.
CoRR, June, 2025

Training-free Test-time Improvement for Explainable Medical Image Classification.
CoRR, June, 2025

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation.
CoRR, May, 2025

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training.
CoRR, April, 2025

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation.
CoRR, March, 2025

Generative learning-based lightweight MRI brain tumor segmentation with missing modalities.
Expert Syst. Appl., 2025

V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

On the Duality Between Sharpness-Aware Minimization and Adversarial Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.
CoRR, 2023


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