Author

Yongshuo Zong

Observed name: Zong, Yongshuo

Institution: University of Edinburgh

Observed institutions: Tongji University, Xiamen University, University of Edinburgh

ORCID: 0000-0002-3267-753X

Observed ORCID: 0000-0002-3267-753X

OpenAlex ID: A5033350433

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

2019 · Gaowei Xu, Xiaoang Shen, et al. · IEEE Access · 233

conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics

2022 · Yongshuo Zong, Tingyang Yu, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 113

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks

2019 · Shipu Xu, Yong Liu, et al. · IEEE Access · 98

U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection

2020 · Yongshuo Zong, Jinling Chen, et al. · IEEE Access · 51

A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN

2020 · Chenxi Huang, Yongshuo Zong, et al. · Neurocomputing · 35

Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts

2020 · Yanqiu Zeng, Baocan Zhang, et al. · Computational and Mathematical Methods in Medicine · 32

MEDFAIR: Benchmarking Fairness for Medical Imaging

2022 · Zong, Yongshuo, Yang, Yongxin, et al. · arXiv (Cornell University) · 27

A Deep Segmentation Network of Stent Structs Based on IoT for Interventional Cardiovascular Diagnosis

2021 · Chenxi Huang, Yongshuo Zong, et al. · IEEE Wireless Communications · 25

Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network

2019 · Wen Zhou, Fei Chen, et al. · IEEE Access · 18

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

2024 · Xie, Yunfei, Wu, Juncheng, et al. · arXiv (Cornell University) · 15

What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

2024 · Letian Zhang, Xiaotong Zhai, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 15

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

2023 · Ondrej Bohdal, Yinbing Tian, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 10

SCMBench: benchmarking domain-specific and foundation models for single-cell multi-omics data integration

2026 · Yixuan Wang, Yimin Fan, et al. · Nature Communications · 7

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

2024 · Zong, Yongshuo, Bohdal, Ondrej, et al. · arXiv (Cornell University) · 5

Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

2023 · Zong, Yongshuo, Yu, Tingyang, et al. · arXiv (Cornell University) · 4

Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels

2025 · Yongshuo Zong, Qin Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

2024 · Zhao, Bingchen, Zong, Yongshuo, et al. · arXiv (Cornell University) · 2

Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures

2020 · Yongshuo Zong, Jinling Chen, et al. · Scientific Programming · 2

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

2024 · Zong, Yongshuo, Bohdal, Ondrej, et al. · arXiv (Cornell University) · 1

Beyond the score: pitfalls and good practices in AI evaluation

2026 · Zong, Yongshuo · ERA

Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted

2024 · Chavhan, Ruchika, Bohdal, Ondrej, et al. · arXiv (Cornell University)

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

2023 · Zhang, Letian, Zhai, Xiaotong, et al. · arXiv (Cornell University)

scMinerva: an Unsupervised Graph Learning Framework with Label-efficient Fine-tuning for Single-cell Multi-omics Integrated Analysis

2022 · Tingyang Yu, Yongshuo Zong, et al. · bioRxiv (Cold Spring Harbor Laboratory)

Works count: 24

Citation count: 696

H-index: 11

I10-index: 12