Qiujie Lv

Sun Yat-sen University — China

Computer Science · Physical Sciences

16h-index910citations32works11.52yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Computational Drug Discovery Methods(17), Machine Learning in Materials Science(14), Bioinformatics and Genomic Networks(4), COVID-19 diagnosis using AI(4), Advanced Neural Network Applications(3)

Publications32 total

UNGT: Ultrasound nasogastric tube dataset for medical image analysis
Knowledge-Based Systems·2025· 1 cited
Corrigendum to “GSDA: Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification” [Heliyon Volume 9, Issue 6, September 2023, Article e19585]
Heliyon·2025Open Access
Efficient equivariant model for machine learning interatomic potentials
npj Computational Materials·2025· 20 citedOpen Access
Spatial-temporal Consistency Based on Semi-supervised Learning for Echocardiography Video Segmentation
IEEE Journal of Biomedical and Health Informatics·2025
Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation
Neural Networks·2024· 4 cited
Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification
Nature Communications·2024· 23 citedOpen Access
MMFA-DTA: Multimodal Feature Attention Fusion Network for Drug-Target Affinity Prediction for Drug Repurposing Against SARS-CoV-2
Journal of Chemical Theory and Computation·2024· 4 cited
Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 30 cited
Segmenting medical images with limited data
Neural Networks·2024· 19 citedOpen Access
Lightweight equivariant model for efficient interatomic potentialpredictions
2024Open Access
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery
IEEE Transactions on Neural Networks and Learning Systems·2024· 26 cited
Lightweight equivariant model for efficient machine learning interatomic potentials
arXiv (Cornell University)·2023Open Access
GSDA: Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification
Heliyon·2023· 9 citedOpen Access
GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16
Expert Systems with Applications·2023· 7 cited
Recent progress in transformer-based medical image analysis
Computers in Biology and Medicine·2023· 112 cited
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
arXiv (Cornell University)·2023· 12 citedOpen Access
3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario
Neural Networks·2023· 34 cited
TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction
Signal Transduction and Targeted Therapy·2023· 81 citedOpen Access
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
IEEE Transactions on Neural Networks and Learning Systems·2023· 92 cited
Geometric Interaction Graph Neural Network for Predicting Protein–Ligand Binding Affinities from 3D Structures (GIGN)
The Journal of Physical Chemistry Letters·2023· 94 cited
page 1 of 2Next →

Frequent Co-authors

Calvin Yu‐Chian Chen(21), Ziduo Yang(16), Guanxing Chen(9), Zhaoshan Liu(8), Lei Shen(8), Weihe Zhong(7), Chau Hung Lee(6), Haohuai He(5), Lu Zhao(5), Hsin‐Yi Chen(4), Saidi Guo(4), Tiejun Dong(3), Wen-jie Dai(2), Xian Wang(2), Yifan Li(2), Yusong Lin(2), Xian Wang(2), Yifan Li(2), Yifan Li(1), Kang Zhang(1)