DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Li Xiao 005; Chunlong Luo; Yufan Luo; Tianqi Yu; Chan Tian; Jie Qiao; Yi Zhao 013 (MICCAI (1), 2019)

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. - Li Xiao 005; Cheng Zhu; Junjun Liu; Chunlong Luo; Peifang Liu; Yi Zhao 013 (MICCAI (6), 2019)

Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. - Li Xiao 005; Yijie Peng; L. Jeff Hong; Zewu Ke (CoRR, 2019)

Training Artificial Neural Networks by Generalized Likelihood Ratio Method: An Effective Way to Improve Robustness. - Li Xiao 005; Yijie Peng; L. Jeff Hong; Zewu Ke; Shuhuai Yang (CASE, 2020)

PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy. - Li Xiao 005; Yufan Luo; Chunlong Luo; Lianhe Zhao; Quanshui Fu; Guoqing Yang; Anpeng Huang; Yi Zhao 013 (CoRR, 2020)

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Li Xiao 005; Chunlong Luo; Tianqi Yu; Yufan Luo; Manqing Wang; Fuhai Yu; Yinhao Li; Chan Tian; Jie Qiao (IEEE Trans. Medical Imaging, 2020)

A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. - Zhipeng Zhang; Ling Ma 005; Yuan Chang; Li Xiao 005; Qing He 003; Conghui Ma; Huiqin Jiang (CISP-BMEI, 2021)

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. - Hao Chen; Fuzhen Zhuang; Li Xiao 005; Ling Ma 005; Haiyan Liu; Ruifang Zhang; Huiqin Jiang; Qing He 003 (IJCAI, 2021)

DEEPACC: Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge. - Li Xiao 005; Chunlong Luo (ISBI, 2021)

One-Shot Medical Landmark Detection. - Qingsong Yao; Quan Quan; Li Xiao 005; S. Kevin Zhou (MICCAI (2), 2021)

You only Learn Once: Universal Anatomical Landmark Detection. - Heqin Zhu; Qingsong Yao; Li Xiao 005; S. Kevin Zhou (MICCAI (5), 2021)

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. - Zhipeng Zhang; Li Xiao 005; Fuzhen Zhuang; Ling Ma 005; Yuan Chang; Yuanyuan Wang; Huiqin Jiang; Qing He 003 (PRCV (4), 2021)

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Pengbo Liu 004; Hu Han 001; Yuanqi Du; Heqin Zhu; Yinhao Li; Feng Gu; Honghu Xiao; Jun Li 103; Chunpeng Zhao; Li Xiao 005; Xinbao Wu; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2021)

Noise Optimization for Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Yijie Peng (CoRR, 2021)

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets. - Pengbo Liu 004; Li Xiao 005; S. Kevin Zhou (CoRR, 2021)

Pathological Image Segmentation with Noisy Labels. - Li Xiao 005; Yinhao Li; Luxi Qv; Xinxia Tian; Yijie Peng; S. Kevin Zhou (CoRR, 2021)

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge. - Shuxin Yang; Xian Wu 001; Shen Ge; Shaohua Kevin Zhou; Li Xiao 005 (CoRR, 2021)

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment. - Shuxin Yang; Xian Wu 001; Shen Ge; Xingwang Wu; S. Kevin Zhou; Li Xiao 005 (CoRR, 2021)

Marginal loss and exclusion loss for partially supervised multi-organ segmentation. - Gonglei Shi; Li Xiao 005; Yang Chen 008; S. Kevin Zhou (Medical Image Anal., 2021)

Label-Free Segmentation of COVID-19 Lesions in Lung CT. - Qingsong Yao; Li Xiao 005; Peihang Liu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2021)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Jinyang Jiang 001; Yijie Peng (CASE, 2022)

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. - Xian Wu 001; Shuxin Yang; Zhaopeng Qiu; Shen Ge; Yangtian Yan; Xingwang Wu; Yefeng Zheng 001; S. Kevin Zhou; Li Xiao 005 (COLING, 2022)

CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. - Mingyang Liu; Li Xiao 005; Huiqin Jiang; Qing He 003 (ISBI, 2022)

Learning Incrementally to Segment Multiple Organs in a CT Image. - Pengbo Liu 004; Xia Wang; Mengsi Fan; Hongli Pan; Minmin Yin; Xiaohong Zhu; Dandan Du; Xiaoying Zhao; Li Xiao 005; Lian Ding; Xingwang Wu; S. Kevin Zhou (MICCAI (4), 2022)

A New Likelihood Ratio Method for Training Artificial Neural Networks. - Yijie Peng; Li Xiao 005; Bernd Heidergott; L. Jeff Hong; Henry Lam (INFORMS J. Comput., 2022)

Knowledge matters: Chest radiology report generation with general and specific knowledge. - Shuxin Yang; Xian Wu 001; Shen Ge; S. Kevin Zhou; Li Xiao 005 (Medical Image Anal., 2022)

Radiology report generation with a learned knowledge base and multi-modal alignment. - Shuxin Yang; Xian Wu 001; Shen Ge; Zhuozhao Zheng; S. Kevin Zhou; Li Xiao 005 (Medical Image Anal., 2023)

Semi-Open Set Object Detection Algorithm Leveraged by Multi-Modal Large Language Models. - Kewei Wu; Yiran Wang; Xiaogang He; Jinyu Yan; Yang Guo; Zhuqing Jiang; Xing Zhang; Wei Wang; Yongping Xiong; Aidong Men; Li Xiao 005 (Big Data Cogn. Comput., 2024)

SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation. - Yiran Wang; Li Xiao 005 (ISBI, 2025)

Generative Adversarial Networks With Noise Optimization and Pyramid Coordinate Attention for Robust Image Denoising. - Min-ling Zhu; Jia-hua Yuan; En Kong; Liang-liang Zhao; Li Xiao 005; Dong-bing Gu (Int. J. Intell. Syst., 2025)

Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics. - Yonggang Zhu; Aidong Men; Li Xiao 005 (Inf. Fusion, 2025)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Kuihua Huang; Jinyang Jiang 001; Yijie Peng (IEEE Trans Autom. Sci. Eng., 2025)