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2020 – today
- 2024
[i2]Mengtian Kang, Yansong Hu, Shuo Gao, Yuanyuan Liu, Hongbei Meng, Xuemeng Li, Xuhang Chen, Hubin Zhao, Jing Fu, Guohua Hu, Wei Wang, Yanning Dai, Arokia Nathan, Peter Smielewski, Ningli Wang, Shiming Li:
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data. CoRR abs/2407.21467 (2024)- [i1]Shengbo Wang, Xuemeng Li, Jialin Ding, Weihao Ma, Ying Wang, Luigi G. Occhipinti, Arokia Nathan, Shuo Gao:
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning. CoRR abs/2410.16734 (2024) - 2023
- [j7]Yang Lu, Lufang Cao, Kaiqiang Xu, Xuemeng Li, Hongsheng Deng, Yunxin Lv, Yanrong Zhai:
A fast data synchronization technique in optical inter-connected data centers. Opt. Switch. Netw. 47: 100698 (2023) - 2022
- [j6]Jiaye Tao
, Heping Wang, Wenjian Wang, Na Mi, Wei Zhang, Qiujia Wen, Jiajing Ouyang, Xinyun Liang, Min Chen, Wentao Guo, Guoming Li, Jun Liu, Hanning Zhao, Xin Wang, Xuemeng Li, Shengjun Feng, Xinguang Liu, Zhiwei He, Zuguo Zhao:
Binding mechanism of oseltamivir and influenza neuraminidase suggests perspectives for the design of new anti-influenza drugs. PLoS Comput. Biol. 18(7) (2022) - [c10]Haifeng Xu, Mei Li, Xuemeng Li, Lei Cao, Jianfei Pang, Dongsheng Zhao:
Long-term recurrence prediction models for NICE based on machine learning and China national stroke screening data. BIBM 2022: 1763-1767 - 2021
- [j5]Lin Mao, Xuemeng Li, Dawei Yang, Rubo Zhang:
Convolutional Feature Frequency Adaptive Fusion Object Detection Network. Neural Process. Lett. 53(5): 3545-3560 (2021) - [j4]Haifeng Xu, Jianfei Pang, Weiliang Zhang, Xuemeng Li, Mei Li, Dongsheng Zhao:
Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning. IEEE J. Biomed. Health Informatics 25(7): 2445-2453 (2021) - [c9]Xuemeng Li, Xiaojun Zhu, Chao Dong:
Planning Paths for UAVs to Collect Data from Disconnected Sensor Networks. ICPADS 2021: 410-417 - 2020
- [j3]Haifeng Xu, Jianfei Pang, Xi Yang, Jinghui Yu, Xuemeng Li, Dongsheng Zhao:
Modeling clinical activities based on multi-perspective declarative process mining with openEHR's characteristic. BMC Medical Informatics Decis. Mak. 20-S(14): 303 (2020) - [c8]Xuemeng Li, Wei Chai, Tong Liu, Junfei Qiao:
Fault detection of dissolved oxygen sensor in wastewater treatment plants. IECON 2020: 225-230
2010 – 2019
- 2019
- [j2]Xuemeng Li, Di Bian, Jinghui Yu, Mei Li, Dongsheng Zhao:
Using machine learning models to improve stroke risk level classification methods of China national stroke screening. BMC Medical Informatics Decis. Mak. 19(1): 261 (2019) - [j1]Xuemeng Li, Jianfei Pang, Mei Li, Dongsheng Zhao:
Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China. BMC Medical Informatics Decis. Mak. 19-S(2): 67:1-67:8 (2019) - [c7]Xuemeng Li, Jinghui Yu, Jiangyu Li, Mei Li, Dongsheng Zhao:
Simulating the Risk of Stroke in China Using Markov Model Based on National Screening Data. BIBM 2019: 1531-1535 - [c6]Wei Chai, Longhang Guo, Xuemeng Li, Jian Tang:
Interval Prediction of Effluent TP for Wastewater Treatment Plants. CCTA 2019: 511-516 - [c5]Xuemeng Li, Di Bian, Jinghui Yu, Huajian Mao, Mei Li, Dongsheng Zhao:
Using machine learning models to classify stroke risk level based on national screening data. EMBC 2019: 1386-1390 - [c4]Xuemeng Li, Di Bian, Mei Li, Dongsheng Zhao:
Construction of Simulation Platform for Chinese Stroke Economic Burden Based on the National Screening Data. MedInfo 2019: 979-982 - 2017
- [c3]Xuemeng Li, Jinghui Yu, Mei Li, Dongsheng Zhao:
Discover high-risk factor combinations using Bayesian network from national screening data in China. BIBM 2017: 1047-1051 - 2014
- [c2]Xuemeng Li, Zhinan Zhang, Saeema Ahmed-Kristensen:
The Sources and Methods of Engineering Design Requirement. CE 2014: 112-121 - [c1]Zhinan Zhang, Xuemeng Li, Ze-Lin Liu:
A Closed-loop Based Framework for Design Requirement Management. CE 2014: 444-453
Coauthor Index
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