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ORCIDKe Niu 0002
Person information
- affiliation: Beijing InformationScience and Technology University, Computer School, China
Other persons with the same name
- Ke Niu — disambiguation page
- Ke Niu 0001
![[0000-0001-8933-3132]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8933-3132")
— Engineering University of People's Armed Police, College of Cryptographic Engineering, Xi'an, China - Ke Niu 0003 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Ke Niu 0004 — Fudan University, Shanghai, China
Other persons with a similar name
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2020 – today
- 2024
[c11]Jiuyun Cai, Ke Niu, Yijie Pan, Wenjuan Tai, Jiacheng Han:
PESAM: Privacy-Enhanced Segment Anything Model for Medical Image Segmentation. ICIC (2) 2024: 94-105- [c10]Guoqiang Lu, Ke Niu, Xueping Peng, Yuhang Zhou, Ke Zhang, Wenjuan Tai:
Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education. IJCNN 2024: 1-8 - 2023
- [j11]Ke Niu, Su Pei, Xueping Peng, Jingni Zeng, Ke Zhang:
Intensive Care Unit readmission prediction with correlation enhanced multi-task learning. Comput. Electr. Eng. 110: 108780 (2023) - [j10]Ke Niu, Yuhang Zhou, GuoQiang Lu, Wenjuan Tai, Ke Zhang:
PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction. Comput. Electr. Eng. 112: 108989 (2023) - [j9]Ke Niu, Baoting Jia, Yuhang Zhou, GuoQiang Lu:
A hybrid model for predicting academic performance of engineering undergraduates. Int. J. Model. Simul. Sci. Comput. 14(2): 2350030:1-2350030:19 (2023) - [j8]Ke Niu, GuoQiang Lu, Xueping Peng, Yuhang Zhou, Jingni Zeng, Ke Zhang:
CNN autoencoders and LSTM-based reduced order model for student dropout prediction. Neural Comput. Appl. 35(30): 22341-22357 (2023) - [c9]Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang:
Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction. ICAI (1) 2023: 339-350 - [c8]Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu:
MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. ICTAI 2023: 700-707 - [c7]Yuhang Zhou, Ke Niu, Haoyi Lv, GuoQiang Lu, Yijie Pan:
CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. IJCNN 2023: 1-8 - 2022
- [j7]Ke Niu, Zhongmin Guo, Xueping Peng, Su Pei:
P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Comput. Biol. Medicine 151(Part): 106294 (2022) - [j6]Xiangyu Zhao, Xueping Peng, Ke Niu, Hailong Li, Lili He, Feng Yang, Ting Wu, Duo Chen, Qiusi Zhang, Menglin Ouyang, Jiayang Guo, Yijie Pan:
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy. Frontiers Neuroinformatics 16 (2022) - [j5]Ke Niu, You Lu, Xueping Peng, Jingni Zeng:
Fusion of sequential visits and medical ontology for mortality prediction. J. Biomed. Informatics 127: 104012 (2022) - [c6]You Lu, Ke Niu, Xueping Peng, Jingni Zeng, Su Pei:
Multi-modal Intermediate Fusion Model for diagnosis prediction. ICIAI 2022: 38-43 - [c5]Jingni Zeng, Ke Niu, You Lu, Su Pei, Yuhang Zhou, Zhongmin Guo:
MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification. ICTAI 2022: 1112-1119 - 2021
- [c4]Su Pei, Ke Niu, Xueping Peng, Jingni Zeng:
Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations. KSEM 2021: 559-570 - 2020
- [j4]Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li:
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data. Complex. 2020: 1357853:1-1357853:9 (2020)
2010 – 2019
- 2019
- [j3]Ke Niu, Xiangyu Zhao, Fangfang Li, Ning Li, Xueping Peng, Wei Chen:
UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty. IEEE Access 7: 145426-145434 (2019) - [j2]Ke Niu, Han Wang:
Video highlight extraction via content-aware deep transfer. Multim. Tools Appl. 78(15): 21133-21144 (2019) - [c3]Baoting Jia, Ke Niu, Xia Hou, Ning Li, Xueping Peng, Peipei Gu, Ran Jia:
Prediction for Student Academic Performance Using SMNaive Bayes Model. ADMA 2019: 712-725 - [c2]Qiaoyun Yin, Ke Niu, Ning Li, Xueping Peng, Yijie Pan:
ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System. ICSR 2019: 204-219 - 2017
- [c1]Qiaoyun Yin, Ke Niu, Ning Li:
Using CV-CRITIC to Determine Weights for Smart City Evaluation. ICTAI 2017: 996-1000 - 2015
- [j1]Xiangyu Zhao, Zhendong Niu, Wei Chen, Chongyang Shi, Ke Niu, Donglei Liu:
A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J. Intell. Inf. Syst. 44(3): 335-353 (2015)
Coauthor Index
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