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Li Xiao 0005
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Medical Imaging, Robotics, Analytic Computing Laboratory & Engineering (MIRACLE), Beijing, China
Other persons with the same name
- Li Xiao — disambiguation page
- Li Xiao 0001
— Michigan State University, Department of Computer Science and Engineering, East Lansing, MI, USA (and 1 more)
- Li Xiao 0002
— University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Li Xiao 0003 — Google Inc. (and 1 more)
- Li Xiao 0004 — University of Aberdeen, UK
- Li Xiao 0006
— ByteDance Inc, Beijing, China (and 3 more)
- Li Xiao 0007 — Wuhan University, School of Computer Science, Hubei Luojia Laboratory, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, China
- Li Xiao 0008 — Chongqing University of Education, Department of Mathematics and Information Engineering, Chongqing, China (and 1 more)
- Li Xiao 0009 — Tsinghua University, Tsinghua Shenzhen International Graduate School, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China
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2020 – today
- 2025
- [j8]Yonggang Zhu, Aidong Men, Li Xiao
:
Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics. Inf. Fusion 114: 102643 (2025) - 2023
- [j7]Shuxin Yang, Xian Wu
, Shen Ge, Zhuozhao Zheng, S. Kevin Zhou
, Li Xiao
:
Radiology report generation with a learned knowledge base and multi-modal alignment. Medical Image Anal. 86: 102798 (2023) - 2022
- [j6]Yijie Peng
, Li Xiao
, Bernd Heidergott
, L. Jeff Hong
, Henry Lam
:
A New Likelihood Ratio Method for Training Artificial Neural Networks. INFORMS J. Comput. 34(1): 638-655 (2022) - [j5]Shuxin Yang
, Xian Wu
, Shen Ge
, S. Kevin Zhou, Li Xiao
:
Knowledge matters: Chest radiology report generation with general and specific knowledge. Medical Image Anal. 80: 102510 (2022) - [c13]Li Xiao, Zeliang Zhang
, Jinyang Jiang, Yijie Peng:
Noise Optimization in Artificial Neural Networks. CASE 2022: 1595-1600 - [c12]Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. COLING 2022: 2952-2961 - [c11]Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He:
CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. ISBI 2022: 1-5 - [c10]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:
Learning Incrementally to Segment Multiple Organs in a CT Image. MICCAI (4) 2022: 714-724 - [i18]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:
Learning Incrementally to Segment Multiple Organs in a CT Image. CoRR abs/2203.02100 (2022) - [i17]Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He:
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation. CoRR abs/2204.02839 (2022) - [i16]Xian Wu
, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. CoRR abs/2211.13229 (2022) - 2021
- [j4]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:
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. Int. J. Comput. Assist. Radiol. Surg. 16(5): 749-756 (2021) - [j3]Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. Medical Image Anal. 70: 101979 (2021) - [j2]Qingsong Yao
, Li Xiao
, Peihang Liu
, S. Kevin Zhou
:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. IEEE Trans. Medical Imaging 40(10): 2808-2819 (2021) - [c9]Zhipeng Zhang, Ling Ma, Yuan Chang, Li Xiao, Qing He, Conghui Ma, Huiqin Jiang:
A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. CISP-BMEI 2021: 1-6 - [c8]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c7]Li Xiao, Chunlong Luo:
DEEPACC: Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge. ISBI 2021: 607-610 - [c6]Heqin Zhu
, Qingsong Yao, Li Xiao, S. Kevin Zhou:
You only Learn Once: Universal Anatomical Landmark Detection. MICCAI (5) 2021: 85-95 - [c5]Qingsong Yao
, Quan Quan, Li Xiao, S. Kevin Zhou:
One-Shot Medical Landmark Detection. MICCAI (2) 2021: 177-188 - [c4]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [i15]Li Xiao, Zeliang Zhang, Yijie Peng:
Noise Optimization for Artificial Neural Networks. CoRR abs/2102.04450 (2021) - [i14]Pengbo Liu, Li Xiao, S. Kevin Zhou:
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets. CoRR abs/2103.04526 (2021) - [i13]Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou:
One-Shot Medical Landmark Detection. CoRR abs/2103.04527 (2021) - [i12]Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou:
You Only Learn Once: Universal Anatomical Landmark Detection. CoRR abs/2103.04657 (2021) - [i11]Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou:
Pathological Image Segmentation with Noisy Labels. CoRR abs/2104.02602 (2021) - [i10]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - [i9]Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao:
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge. CoRR abs/2112.15009 (2021) - [i8]Shuxin Yang, Xian Wu, Shen Ge, Xingwang Wu, S. Kevin Zhou, Li Xiao:
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment. CoRR abs/2112.15011 (2021) - 2020
- [j1]Li Xiao
, Chunlong Luo
, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao:
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. IEEE Trans. Medical Imaging 39(12): 3920-3932 (2020) - [c3]Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke, Shuhuai Yang:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: An Effective Way to Improve Robustness. CASE 2020: 1343-1348 - [i7]Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao:
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. CoRR abs/2003.01109 (2020) - [i6]Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao:
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy. CoRR abs/2003.04541 (2020) - [i5]Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. CoRR abs/2007.03868 (2020) - [i4]Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. CoRR abs/2009.06456 (2020) - [i3]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:
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. CoRR abs/2012.08721 (2020)
2010 – 2019
- 2019
- [c2]Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao:
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. MICCAI (6) 2019: 468-476 - [c1]Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
:
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. MICCAI (1) 2019: 595-603 - [i2]Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. CoRR abs/1902.00358 (2019) - [i1]Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao:
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. CoRR abs/1910.11091 (2019)
Coauthor Index
aka: S. Kevin Zhou

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last updated on 2025-02-15 01:17 CET by the dblp team
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