Ke Niu - RankMe

40 papers A* 2B 6C 2Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination. AAAI Mingyang Ou, Haojin Li, Yifeng Zhang, Ke Niu, Zhongxi Qiu, Heng Li, Jiang Liu
2026	J	`jnl`	Hybrid Neural Network Model for MOOC Dropout Prediction. Complex Syst. Model. Simul. Ke Niu, Jiuyun Cai, Yuhang Zhou, Wenjuan Tai, Xue Feng
2026	J	`jnl`	SAFedHDM: Semi-asynchronous federated learning with highlight diffusion model for medical image segmentation. Inf. Fusion Ke Niu, Jiuyun Cai, Xue Feng
2026	J	`jnl`	TGFed: Transferability-guided federated learning for unseen client adaptation. Expert Syst. Appl. Ke Niu, Jiuyun Cai, Wenjuan Tai, Yijie Pan, Kaize Shi
2025	A*	`conf`	AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. AAAI Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu
2025	J	`jnl`	AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation. CoRR Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu
2025	J	`jnl`	DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination. CoRR Mingyang Ou, Haojin Li, Yifeng Zhang, Ke Niu, Zhongxi Qiu, Heng Li, Jiang Liu
2025	—	`conf`	EndoZero: Zero-Shot Endoscopic Depth Estimation Enabled by a Lightweight Focal Length Estimation Framework. BIBM Zilan Huang, Xue Feng, Ke Niu
2025	J	`jnl`	Endoscopic Depth Estimation Based on Deep Learning: A Survey. CoRR Ke Niu, Zeyun Liu, Xue Feng, Heng Li, Kaize Shi
2025	J	`jnl`	FedCGP: Cluster-Based Gradual Personalization for Federated Medical Image Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. Ke Niu, Wenjuan Tai, Jiuyun Cai, Yuhang Zhou, Heng Li
2025	J	`jnl`	Fundus Image Quality Assessment and Enhancement: a Systematic Review. CoRR Heng Li, Haojin Li, Mingyang Ou, Xiangyang Yu, Xiaoqing Zhang, Ke Niu, Huazhu Fu, Jiang Liu
2025	J	`jnl`	MMP-MSH: Multimodal Mortality Prediction Based on a Multilevel Semantic Hypergraph Network. IEEE Trans. Comput. Soc. Syst. Ke Niu, Ke Zhang, Yijie Pan, Wenjuan Tai, Jiuyun Cai
2025	—	`conf`	MedMaskDiff: Mamba-Based Medical Semantic Image Synthesis for Segmentation. ICIC (26) Jiacheng Han, Ke Niu, Jiuyun Cai
2025	J	`jnl`	Multi-View Test-Time Adaptation for Semantic Segmentation in Clinical Cataract Surgery. IEEE Trans. Medical Imaging Heng Li, Mingyang Ou, Haojin Li, Zhongxi Qiu, Ke Niu, Huazhu Fu, Jiang Liu
2025	J	`jnl`	PedFed: A performance evaluation-driven federated learning framework for efficient communication. Int. J. Model. Simul. Sci. Comput. Ke Niu, Wenjuan Tai, Xueping Peng, Zhongmin Guo, Can Zhang, Heng Li
2024	J	`jnl`	Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Trans. Medical Imaging Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu
2024	—	`conf`	PESAM: Privacy-Enhanced Segment Anything Model for Medical Image Segmentation. ICIC (2) Jiuyun Cai, Ke Niu, Yijie Pan, Wenjuan Tai, Jiacheng Han
2024	B	`conf`	Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education. IJCNN Guoqiang Lu, Ke Niu, Xueping Peng, Yuhang Zhou, Ke Zhang, Wenjuan Tai
2023	J	`jnl`	A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. CoRR Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu
2023	J	`jnl`	A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu
2023	J	`jnl`	A hybrid model for predicting academic performance of engineering undergraduates. Int. J. Model. Simul. Sci. Comput. Ke Niu, Baoting Jia, Yuhang Zhou, Guoqiang Lu
2023	B	`conf`	CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. IJCNN Yuhang Zhou, Ke Niu, Haoyi Lv, Guoqiang Lu, Yijie Pan
2023	J	`jnl`	CNN autoencoders and LSTM-based reduced order model for student dropout prediction. Neural Comput. Appl. Ke Niu, Guoqiang Lu, Xueping Peng, Yuhang Zhou, Jingni Zeng, Ke Zhang
2023	J	`jnl`	Intensive Care Unit readmission prediction with correlation enhanced multi-task learning. Comput. Electr. Eng. Ke Niu, Su Pei, Xueping Peng, Jingni Zeng, Ke Zhang
2023	—	`conf`	Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction. ICAI (1) Yiyuan Ge, Ke Niu, Zhihao Chen, Qinhu Zhang
2023	B	`conf`	MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. ICTAI Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu
2023	J	`jnl`	PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction. Comput. Electr. Eng. Ke Niu, Yuhang Zhou, Guoqiang Lu, Wenjuan Tai, Ke Zhang
2022	J	`jnl`	A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy. Frontiers Neuroinformatics Xiangyu Zhao, Xueping Peng, Ke Niu, Hailong Li, Lili He, Feng Yang, Ting Wu, Duo Chen, Qiusi Zhang, Menglin Ouyang, Jiayang Guo, Yijie Pan
2022	J	`jnl`	Fusion of sequential visits and medical ontology for mortality prediction. J. Biomed. Informatics Ke Niu, You Lu, Xueping Peng, Jingni Zeng
2022	B	`conf`	MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification. ICTAI Jingni Zeng, Ke Niu, You Lu, Su Pei, Yuhang Zhou, Zhongmin Guo
2022	—	`conf`	Multi-modal Intermediate Fusion Model for diagnosis prediction. ICIAI You Lu, Ke Niu, Xueping Peng, Jingni Zeng, Su Pei
2022	J	`jnl`	P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Comput. Biol. Medicine Ke Niu, Zhongmin Guo, Xueping Peng, Su Pei
2021	C	`conf`	Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations. KSEM Su Pei, Ke Niu, Xueping Peng, Jingni Zeng
2020	J	`jnl`	Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data. Complex. Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li
2019	B	`conf`	ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System. ICSR Qiaoyun Yin, Ke Niu, Ning Li, Xueping Peng, Yijie Pan
2019	C	`conf`	Prediction for Student Academic Performance Using SMNaive Bayes Model. ADMA Baoting Jia, Ke Niu, Xia Hou, Ning Li, Xueping Peng, Peipei Gu, Ran Jia
2019	J	`jnl`	UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty. IEEE Access Ke Niu, Xiangyu Zhao, Fangfang Li, Ning Li, Xueping Peng, Wei Chen
2019	J	`jnl`	Video highlight extraction via content-aware deep transfer. Multim. Tools Appl. Ke Niu, Han Wang
2017	B	`conf`	Using CV-CRITIC to Determine Weights for Smart City Evaluation. ICTAI Qiaoyun Yin, Ke Niu, Ning Li
2015	J	`jnl`	A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J. Intell. Inf. Syst. Xiangyu Zhao, Zhendong Niu, Wei Chen, Chongyang Shi, Ke Niu, Donglei Liu