Ying Li

According to our database, Ying Li authored at least 25 papers between 2009 and 2024.

Collaborative distances:

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

2024

What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives.

Na Lei, Zezeng Li, Zebin Xu, Ying Li, Xianfeng Gu

IEEE Trans. Vis. Comput. Graph., August, 2024

Consistency label-activated region generating network for weakly supervised medical image segmentation.

Wei Du, Yongkang Huo, Rixin Zhou, Yu Sun, Shiyi Tang, Xuan Zhao, Ying Li, Gaoyang Li

Comput. Biol. Medicine, 2024

2023

Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods.

Xianhe Wang, Ying Li, Qian Qiao, Adriano Tavares, Yanchun Liang

Entropy, August, 2023

SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning.

Ying Li, Hang Sun, Wensi Fang, Qin Ma, Siyu Han, Rui Wang-Sattler, Wei Du, Qiong Yu

Inf. Sci., June, 2023

PecidRL: Petition expectation correction and identification based on deep reinforcement learning.

Ying Li, Wensi Fang, Hang Sun, Xiangyu Liu, Wei Du, Yijun Liu, Qianqian Li

Inf. Process. Manag., May, 2023

2022

LPInsider: a webserver for lncRNA-protein interaction extraction from the literature.

Ying Li, Lizheng Wei, Cankun Wang, Jianing Zhao, Siyu Han, Yu Zhang, Wei Du

BMC Bioinform., December, 2022

LION: an integrated R package for effective prediction of ncRNA-protein interaction.

Siyu Han, Xiao Yang, Hang Sun, Hu Yang, Qi Zhang, Cheng Peng, Wensi Fang, Ying Li

Briefings Bioinform., November, 2022

Leveraging multidimensional features for policy opinion sentiment prediction.

Wenju Hou, Ying Li, Yijun Liu, Qianqian Li

Inf. Sci., 2022

MAHE-IM: Multiple Aggregation of Heterogeneous Relation Embedding for Influence Maximization on Heterogeneous Information Network.

Ying Li, Linlin Li, Yijun Liu, Qianqian Li

Expert Syst. Appl., 2022

TIGER: technical variation elimination for metabolomics data using ensemble learning architecture.

Siyu Han, Jialing Huang, Francesco Foppiano, Cornelia Prehn, Jerzy Adamski, Karsten Suhre, Ying Li, Giuseppe Matullo, Freimut Schliess, Christian Gieger, Annette Peters, Rui Wang-Sattler

Briefings Bioinform., 2022

Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks.

Xv Zhang, Yuanbo Xu, Ying Li, Yongjian Yang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification.

Cheng Peng, Xinyu Wu, Wen Yuan, Xinran Zhang, Yu Zhang, Ying Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning.

Wei Du, Yu Sun, Hui-Min Bao, Liang Chen, Ying Li, Yanchun Liang

J. Comput. Sci. Technol., 2021

Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network.

Ying Li, Hang Sun, Shiyao Feng, Qi Zhang, Siyu Han, Wei Du

BMC Bioinform., 2021

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.

Ying Li, Qi Zhang, Zhaoqian Liu, Cankun Wang, Siyu Han, Qin Ma, Wei Du

Briefings Bioinform., 2021

2020

CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins.

Wei Du, Yu Sun, Gaoyang Li, Huansheng Cao, Ran Pang, Ying Li

BMC Bioinform., 2020

DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning.

Wei Du, Ran Pang, Gaoyang Li, Huansheng Cao, Ying Li, Yanchun Liang

IEEE Access, 2020

2019

Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA.

Ying Li, Ye He, Siyu Han, Yanchun Liang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Predictive biomarkers of colorectal cancer.

Di Ding, Siyu Han, Hui Zhang, Ye He, Ying Li

Comput. Biol. Chem., 2019

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property.

Siyu Han, Yanchun Liang, Qin Ma, Yangyi Xu, Yu Zhang, Wei Du, Cankun Wang, Ying Li

Briefings Bioinform., 2019

2017

RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.

Ying Li, Xiaohu Shi, Yanchun Liang, Juan Xie, Yu Zhang, Qin Ma

BMC Bioinform., 2017

A feature selection method based on multiple kernel learning with expression profiles of different types.

Wei Du, Zhongbo Cao, Tianci Song, Ying Li, Yanchun Liang

BioData Min., 2017

2012

Multi-scale RNA comparison based on RNA triple vector curve representation.

Ying Li, Ming Duan, Yanchun Liang

BMC Bioinform., 2012

2009

Statistical Analysis of Gene Co-Expression Networks by Maximal Overlap Discrete Wavelet Transform.

Ying Li, Na Lei, Jian Ma

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Fuzzy Multiresolution Neural Networks.

Ying Li, Qigang Shang, Na Lei

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009