Feifei Cui

According to our database, Feifei Cui authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms.

Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Machine learning-based prediction model for distant metastasis of breast cancer.

Hao Duan, Yu Zhang, Haoye Qiu, Xiuhao Fu, Chunling Liu, Xiaofeng Zang, Anqi Xu, Ziyue Wu, Xingfeng Li, Qingchen Zhang, Zilong Zhang, Feifei Cui

Comput. Biol. Medicine, February, 2024

Toward Data Integrity Attacks Against Distributed Dynamic State Estimation in Smart Grid.

Dou An, Feiye Zhang, Feifei Cui, Qingyu Yang

IEEE Trans Autom. Sci. Eng., January, 2024

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning.

Xiuhao Fu, Hao Duan, Xiaofeng Zang, Chunling Liu, Xingfeng Li, Qingchen Zhang, Zilong Zhang, Quan Zou, Feifei Cui

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks.

Hao Duan, Qingchen Zhang, Feifei Cui, Quan Zou, Zilong Zhang

PLoS Comput. Biol., 2024

PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning.

Zheyu Zhou, Cuilin Xiao, Jinfen Yin, Jiayi She, Hao Duan, Chunling Liu, Xiuhao Fu, Feifei Cui, Qi Qi, Zilong Zhang

Comput. Biol. Medicine, 2024

MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.

Chaorui Yan, Aoyun Geng, Zhuoyu Pan, Zilong Zhang, Feifei Cui

Briefings Bioinform., 2024

RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers.

Jiahao Yuan, Xingfeng Li, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

BEES: A New Acoustic Task for Blended Emotion Estimation in Speech.

Xingfeng Li, Xiaohan Shi, Yuke Si, Zilong Zhang, Feifei Cui, Yongwei Li, Yang Liu, Masashi Unoki, Masato Akagi

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023

Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems.

Yunyun Su, Feifei Cui, Shiyu Yan, Quan Zou, Chen Cao, Zilong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies.

Ruiqi Liu, Zilong Zhang, Xiuhao Fu, Shankai Yan, Feifei Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou

Nucleic Acids Res., 2022

Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections.

Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang, Quan Zou

Comput. Biol. Medicine, 2022

webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration.

Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou

Bioinform., 2022

2021

Dielectric Properties of Lunar Materials at the Chang'e-4 Landing Site.

Jialong Lai, Feifei Cui, Yi Xu, Chaofei Liu, Ling Zhang

Remote. Sens., 2021

Computational biology and chemistry Special section editorial: Computational analyses for miRNA.

Feifei Cui, Murong Zhou, Quan Zou

Comput. Biol. Chem., 2021

Critical downstream analysis steps for single-cell RNA sequencing data.

Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou

Briefings Bioinform., 2021

Anticancer peptides prediction with deep representation learning features.

Zhibin Lv, Feifei Cui, Quan Zou, Lichao Zhang, Lei Xu

Briefings Bioinform., 2021

IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis.

Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek

IEEE Access, 2021