Zhen Huang

Affiliations:
  • University of Science and Technology of China (USTC), Department of Computer Science, Hefei, China


According to our database1, Zhen Huang authored at least 22 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text.
CoRR, August, 2025

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV.
CoRR, July, 2025

Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection.
CoRR, March, 2025

H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging.
CoRR, February, 2025

CASEMark: A hybrid model for robust anatomical landmark detection in multi-structure X-rays.
J. King Saud Univ. Comput. Inf. Sci., 2025

Eliminating Ambiguities in One-Shot Medical Landmark Detection via Mask Drawing.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

A Unified Framework for Few-Shot Medical Image Classification via Multi-agent Description Generation and Refined Contrastive Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection.
CoRR, 2024

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.
CoRR, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Learning What You Should Learn.
CoRR, 2022

Toward Real-world Single Image Deraining: A New Benchmark and Beyond.
CoRR, 2022

Exploring Fourier Prior for Single Image Rain Removal.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
3D Local Convolutional Neural Networks for Gait Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020


  Loading...