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Chang-Qing Yu
Observed names:
Chang-Qing. Yu,
Chang-qing Yu,
Changqing YU,
Changqing Yu,
Yu, Chang-Qing,
Yu, Changqing
show all 6
Institution:
Xijing University
Observed institutions:
Beijing Institute of Technology,
Chongqing University,
Beijing University of Technology,
Xi'an University of Technology,
Shanghai Dianji University,
Xijing University,
State Key Laboratory of Power Transmission and Distribution Equipment and System Safety and New Technology
show all 7
ORCID:
0000-0003-4712-8784
Observed ORCID:
0000-0003-4712-8784
OpenAlex ID:
A5047290329
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
2025
·
MiniMax
, :
, et al.
·
arXiv (Cornell University)
·
322
PDF
A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks
2022
·
Zhong-Hao Ren
, Zhu-Hong You
, et al.
·
Briefings in Bioinformatics
·
75
Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
2019
·
Yu-An Huang
, Zhi-An Huang
, et al.
·
Frontiers in Genetics
·
65
PDF
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information
2022
·
Zhong-Hao Ren
, Chang-Qing Yu
, et al.
·
Briefings in Functional Genomics
·
62
PDF
DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis
2023
·
Zhong-Hao Ren
, Zhu-Hong You
, et al.
·
Journal of Translational Medicine
·
59
PDF
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions
2022
·
Yue-Chao Li
, Zhu-Hong You
, et al.
·
IEEE Journal of Biomedical and Health Informatics
·
57
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
2022
·
Lu-Xiang Guo
, Zhu-Hong You
, et al.
·
Briefings in Bioinformatics
·
54
KGDCMI: A New Approach for Predicting circRNA–miRNA Interactions From Multi-Source Information Extraction and Deep Learning
2022
·
Xin-Fei Wang
, Chang-Qing Yu
, et al.
·
Frontiers in Genetics
·
51
PDF
Optimal spatio-temporal scheduling for Electric Vehicles and Load Aggregators considering response reliability
2018
·
Chunyan Li
, Rongsheng Zhao
, et al.
·
Electric Power Systems Research
·
48
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
2023
·
Xin-Fei Wang
, Chang-Qing Yu
, et al.
·
Briefings in Bioinformatics
·
44
PDF
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations
2024
·
Lu-Xiang Guo
, Lei Wang
, et al.
·
Briefings in Bioinformatics
·
42
PDF
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder
2023
·
Xin-Fei Wang
, Chang-Qing Yu
, et al.
·
iScience
·
42
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information
2023
·
Yue-Chao Li
, Zhu-Hong You
, et al.
·
Briefings in Functional Genomics
·
40
PDF
Advancing drug-drug interactions research: integrating AI-powered prediction, vulnerable populations, and regulatory insights
2025
·
Wenzhun Huang
, Xiao Wang
, et al.
·
Frontiers in Pharmacology
·
38
PDF
Apple leaf disease recognition method based on Siamese dilated Inception network with less training samples
2023
·
Shanwen Zhang
, Dengwu Wang
, et al.
·
Computers and Electronics in Agriculture
·
38
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path
2023
·
Meng-Meng Wei
, Chang-Qing Yu
, et al.
·
Journal of Chemical Information and Modeling
·
37
An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information
2018
·
Zhu-Hong You
, Wen-Zhun Huang
, et al.
·
IEEE Transactions on Computational Biology and Bioinformatics
·
36
Lightweight Multi-Scale Dilated U-Net for Crop Disease Leaf Image Segmentation
2022
·
Cong Xu
, Changqing Yu
, et al.
·
Electronics
·
34
PDF
SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes
2022
·
Chang-Qing Yu
, Xin-Fei Wang
, et al.
·
Biology
·
32
PDF
DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network
2022
·
Jie Pan
, Zhu-Hong You
, et al.
·
Frontiers in Bioengineering and Biotechnology
·
31
PDF
Multi-Scale Convolution-Capsule Network for Crop Insect Pest Recognition
2022
·
Cong Xu
, Changqing Yu
, et al.
·
Electronics
·
26
PDF
Predicting circRNA–Disease Associations through Multisource Domain-Aware Embeddings and Feature Projection Networks
2025
·
Si-Zhe Liang
, Lei Wang
, et al.
·
Journal of Chemical Information and Modeling
·
25
Multi-Objective Whale Optimization Algorithm for Optimal Integration of Multiple DGs into Distribution Systems
2019
·
Salah Kamel
, Ali Selim
, et al.
·
IEEE Innovative Smart Grid Technologies-Asia
·
25
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
2023
·
Xin-Fei Wang
, Chang-Qing Yu
, et al.
·
Computers in Biology and Medicine
·
24
Biolinguistic graph fusion model for circRNA–miRNA association prediction
2024
·
Lu-Xiang Guo
, Lei Wang
, et al.
·
Briefings in Bioinformatics
·
22
PDF
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Works count:
92
Citation count:
1,745
H-index:
24
I10-index:
44
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