Ying Wang

According to our database, Ying Wang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Graph Neural Networks With High-Order Polynomial Spectral Filters.

Zeyuan Zeng, Qinke Peng, Xu Mou, Ying Wang, Ruimeng Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.

Ying Wang, Maoyuan Ma, Yanxin Xie, Qinke Peng, Hongqiang Lyu, Hequan Sun, Laiyi Fu

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

Progressive enhancement and restoration for mural images under low-light and defected conditions based on multi-receptive field strategy.

Xiameng Wei, Binbin Fan, Ying Wang, Yanxiang Feng, Laiyi Fu

CoRR, 2024

2023

BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction.

Zhiwei Ning, Jinyang Wu, Yidong Ding, Ying Wang, Qinke Peng, Laiyi Fu

IEEE J. Biomed. Health Informatics, November, 2023

KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.

Jinyang Wu, Zhiwei Ning, Yidong Ding, Ying Wang, Qinke Peng, Laiyi Fu

Briefings Bioinform., September, 2023

LncDLSM: Identification of Long Non-Coding RNAs With Deep Learning-Based Sequence Model.

Ying Wang, Pengfei Zhao, Hongkai Du, Yingxin Cao, Qinke Peng, Laiyi Fu

IEEE J. Biomed. Health Informatics, April, 2023

A Deep Learning Framework for News Readers' Emotion Prediction Based on Features From News Article and Pseudo Comments.

Xu Mou, Qinke Peng, Zhao Sun, Ying Wang, Xintong Li, Muhammad Fiaz Bashir

IEEE Trans. Cybern., April, 2023

Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder.

Haozhou Li, Qinke Peng, Xu Mou, Ying Wang, Zeyuan Zeng, Muhammad Fiaz Bashir

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

A successful hybrid deep learning model aiming at promoter identification.

Ying Wang, Qinke Peng, Xu Mou, Xinyuan Wang, Haozhou Li, Tian Han, Zhao Sun, Xiao Wang

BMC Bioinform., 2022

Design and Application of a Non-wrapped Programmable Logic Controller (PLC) Laboratory Kit for Automatic Control Education.

Ying Wang, Xiaodong Ren, Zhou Jing, Meilan Liu, Qinke Peng, Laiyi Fu

Proceedings of the 20th International Conference on Information Technology Based Higher Education and Training, 2022

2021

An artificial intelligence-based real-time monitoring framework for time series.

Zhao Sun, Qinke Peng, Xu Mou, Ying Wang, Tian Han

J. Intell. Fuzzy Syst., 2021

2020

An Effective Hybrid Deep Learning Model for Eukaryotic Promoter Identification.

Ying Wang, Qinke Peng, Xu Mou, Tian Han, Zhao Sun, Xiao Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Predicting Social Emotions from Readers' Perspective.

Xintong Li, Qinke Peng, Zhi Sun, Ling Chai, Ying Wang

IEEE Trans. Affect. Comput., 2019