李潇｜青岛科技大学｜学者主页

期刊论文

2024

基于背景重建的红外小目标检测研究

李潇

《西华大学》

预印本

2025

UniDCF: A Foundation Model for Comprehensive Dentocraniofacial Hard Tissue Reconstruction

Chunxia Ren, Ning Zhu, Yue Lai, Gui Chen, Ruijie Wang, Yangyi Hu, Suyao Liu, Shuwen Mao, Hong Su, Yu Zhang, Li Xiao

arXiv preprint

2025

MedFoundationHub: A Lightweight and Secure Toolkit for Deploying Medical Vision Language Foundation Models

Xiao Li, Yanfan Zhu, Ruining Deng, Wei-Qi Wei, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo

arXiv preprint

2025

PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection

Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu

arXiv preprint

2025

SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology

Shakib Khan, Fariba Dambandkhameneh, Nazim Shaikh, Yao Nie, Raghavan Venugopal, Xiao Li

arXiv preprint

2025

AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization

Li Xiao, Liqing Liu, Hongjun Wu, Jiayi Zhong, Xixia Li, Yan Zhang, Junjie Hu, Sun Fei, Ge Yang, Tao Xu

arXiv preprint

2024

SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation

Yiran Wang, Li Xiao

arXiv preprint

2024

PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition

Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu

arXiv preprint

2024

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yining Liu, Yingzhe He, Jie Shi, Xiaolin Hu

arXiv preprint

2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors

Xiao Li, Hang Chen, Xiaolin Hu

arXiv preprint

2023

Language-Driven Anchors for Zero-Shot Adversarial Robustness

Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu

arXiv preprint

2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu

arXiv preprint

2022

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao

arXiv preprint

2022

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu

arXiv preprint

2022

Learning Incrementally to Segment Multiple Organs in a CT Image

Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou

arXiv preprint

2021

Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels

YiMin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi

arXiv preprint

DOI

2021

Pathological Image Segmentation with Noisy Labels

Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou

arXiv preprint

2021

Rethinking Natural Adversarial Examples for Classification Models

Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu

arXiv preprint

2021

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, Li Xiao

arXiv preprint

2020

PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy

Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao

arXiv preprint

2020

Marginal loss and exclusion loss for partially supervised multi-organ segmentation

Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou

arXiv preprint

2020

G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection

Yufan Luo, Li Xiao

arXiv preprint

2020

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography

Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao

arXiv preprint

DOI

2020

DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge

Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao

arXiv preprint

2019

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks

Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao

arXiv preprint

李潇

精选作品

期刊论文

基于背景重建的红外小目标检测研究

预印本

UniDCF: A Foundation Model for Comprehensive Dentocraniofacial Hard Tissue Reconstruction

MedFoundationHub: A Lightweight and Secure Toolkit for Deploying Medical Vision Language Foundation Models

PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection

SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology

AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization

SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation

PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

On the Importance of Backbone to the Adversarial Robustness of Object Detectors

Language-Driven Anchors for Zero-Shot Adversarial Robustness

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Learning Incrementally to Segment Multiple Organs in a CT Image

Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels

Pathological Image Segmentation with Noisy Labels

Rethinking Natural Adversarial Examples for Classification Models

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy

Marginal loss and exclusion loss for partially supervised multi-organ segmentation

G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography

DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks

研究方向