Zheyuan Zhang | DeepAI

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Featured Co-authors

Zhiyuan Liu
209 publications
Bin Wang
167 publications
Hao Peng
135 publications
Jie Tang
135 publications
Yuan Yao
99 publications
Ulas Bagci
88 publications
Juanzi Li
62 publications
Yankai Lin
59 publications
Boqing Gong
59 publications
Yu Gu
51 publications
Lei Hou
49 publications

∙ 09/11/2023

Radiomics Boosts Deep Learning Model for IPMN Classification

Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant p...

0 Lanhong Yao, et al. ∙

∙ 08/11/2023

LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts

Teaching assistants have played essential roles in the long history of e...

0 Shangqing Tu, et al. ∙

∙ 07/31/2023

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation

Brain tumor segmentation is an active research area due to the difficult...

0 Lanhong Yao, et al. ∙

∙ 06/15/2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The unprecedented performance of large language models (LLMs) necessitat...

0 Jifan Yu, et al. ∙

∙ 04/26/2023

GazeSAM: What You See is What You Segment

This study investigates the potential of eye-tracking technology and the...

2 Bin Wang, et al. ∙

∙ 04/23/2023

Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles

Artificial intelligence (AI) methods have great potential to revolutioni...

11 Debesh Jha, et al. ∙

∙ 04/05/2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation

Most statistical learning algorithms rely on an over-simplified assumpti...

6 Zheyuan Zhang, et al. ∙

∙ 12/20/2022

Domain Generalization with Correlated Style Uncertainty

Though impressive success has been witnessed in computer vision, deep le...

6 Zheyuan Zhang, et al. ∙

∙ 12/15/2022

The Effects of In-domain Corpus Size on pre-training BERT

Many prior language modeling efforts have shown that pre-training on an ...

0 Chris Sanchez, et al. ∙

∙ 07/18/2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs

Adaptive learning aims to stimulate and meet the needs of individual lea...

0 Qingyang Zhong, et al. ∙

∙ 06/01/2022

Dynamic Linear Transformer for 3D Biomedical Image Segmentation

Transformer-based neural networks have surpassed promising performance o...

24 Zheyuan Zhang, et al. ∙

∙ 05/21/2022

Transformer based Generative Adversarial Network for Liver Segmentation

Automated liver segmentation from radiology scans (CT, MRI) can improve ...

47 Ugur Demir, et al. ∙

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