Li Xiao

46 papers A* 1A 1B 1Journal 31Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Microscale-Searching Optimization for Transfer Learning-Based Filter Fine-Tuning.
ACM Trans. Intell. Syst. Technol.
Le Feng, Fujian Feng, Li Xiao, Mian Tan, Han Huang, Yinong Wang
2026 J jnl
Zero-shot diverse audio captioning with diffusion models.
Knowl. Based Syst.
Yonggang Zhu, Yiming Zhang, Li Xiao, Wenwu Wang, Aidong Men
2025 J jnl
Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics.
Inf. Fusion
Yonggang Zhu, Aidong Men, Li Xiao
2025 A conf
GEMPA: Graph-Enhanced Multimodal Prototype Alignment for Class Incremental Learning.
ECAI
Yuling Chen, Zhenming Zhang, Chunxia Ren, Zixuan Zhong, Li Xiao
2025 J jnl
Generative Adversarial Networks With Noise Optimization and Pyramid Coordinate Attention for Robust Image Denoising.
Int. J. Intell. Syst.
Minling Zhu, Jiahua Yuan, En Kong, Liangliang Zhao, Li Xiao, Dong-bing Gu
2025 J jnl
Noise Optimization in Artificial Neural Networks.
IEEE Trans Autom. Sci. Eng.
Li Xiao, Zeliang Zhang, Kuihua Huang, Jinyang Jiang, Yijie Peng
2025 — conf
SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation.
ISBI
Yiran Wang, Li Xiao
2024 J jnl
Semi-Open Set Object Detection Algorithm Leveraged by Multi-Modal Large Language Models.
Big Data Cogn. Comput.
Kewei Wu, Yiran Wang, Xiaogang He, Jinyu Yan, Yang Guo, Zhuqing Jiang, Xing Zhang, Wei Wang, Yongping Xiong, Aidong Men, Li Xiao
2023 J jnl
Radiology report generation with a learned knowledge base and multi-modal alignment.
Medical Image Anal.
Shuxin Yang, Xian Wu, Shen Ge, Zhuozhao Zheng, S. Kevin Zhou, Li Xiao
2022 J jnl
A New Likelihood Ratio Method for Training Artificial Neural Networks.
INFORMS J. Comput.
Yijie Peng, Li Xiao, Bernd Heidergott, L. Jeff Hong, Henry Lam
2022 — conf
CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation.
ISBI
Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
2022 J jnl
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation.
CoRR
Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
2022 B conf
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
COLING
Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, YangTian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
2022 J jnl
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
CoRR
Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, YangTian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
2022 J jnl
Knowledge matters: Chest radiology report generation with general and specific knowledge.
Medical Image Anal.
Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, Li Xiao
2022 — conf
Learning Incrementally to Segment Multiple Organs in a CT Image.
MICCAI (4)
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
2022 J jnl
Learning Incrementally to Segment Multiple Organs in a CT Image.
CoRR
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
2022 — conf
Noise Optimization in Artificial Neural Networks.
CASE
Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng
2021 — conf
A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing.
CISP-BMEI
Zhipeng Zhang, Ling Ma, Yuan Chang, Li Xiao, Qing He, CongHui Ma, Huiqin Jiang
2021 A* conf
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.
IJCAI
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021 J jnl
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.
CoRR
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021 — conf
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training.
PRCV (4)
Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He
2021 — conf
DEEPACC: Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge.
ISBI
Li Xiao, Chunlong Luo
2021 J jnl
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.
Int. J. Comput. Assist. Radiol. Surg.
Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou
2021 J jnl
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets.
CoRR
Pengbo Liu, Li Xiao, S. Kevin Zhou
2021 J jnl
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge.
CoRR
Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao
2021 J jnl
Label-Free Segmentation of COVID-19 Lesions in Lung CT.
IEEE Trans. Medical Imaging
Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou
2021 J jnl
Marginal loss and exclusion loss for partially supervised multi-organ segmentation.
Medical Image Anal.
Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou
2021 J jnl
Noise Optimization for Artificial Neural Networks.
CoRR
Li Xiao, Zeliang Zhang, Yijie Peng
2021 — conf
One-Shot Medical Landmark Detection.
MICCAI (2)
Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou
2021 J jnl
One-Shot Medical Landmark Detection.
CoRR
Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou
2021 J jnl
Pathological Image Segmentation with Noisy Labels.
CoRR
Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou
2021 J jnl
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment.
CoRR
Shuxin Yang, Xian Wu, Shen Ge, Xingwang Wu, S. Kevin Zhou, Li Xiao
2021 J jnl
You Only Learn Once: Universal Anatomical Landmark Detection.
CoRR
Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
2021 — conf
You only Learn Once: Universal Anatomical Landmark Detection.
MICCAI (5)
Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
2020 J jnl
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models.
CoRR
Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou
2020 J jnl
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao
2020 J jnl
Label-Free Segmentation of COVID-19 Lesions in Lung CT.
CoRR
Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou
2020 J jnl
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography.
CoRR
Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao
2020 J jnl
Marginal loss and exclusion loss for partially supervised multi-organ segmentation.
CoRR
Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou
2020 J jnl
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy.
CoRR
Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao
2020 — conf
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: An Effective Way to Improve Robustness.
CASE
Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke, Shuhuai Yang
2019 — conf
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
MICCAI (1)
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
2019 J jnl
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
CoRR
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
2019 — conf
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography.
MICCAI (6)
Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao
2019 J jnl
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness.
CoRR
Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke