105 citations · 129 across the 8 of their papers we have counts for
8 papers
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Jianxin Lin, Peng Xiao, Yijun Wang +2
Recent data-driven image colorization methods have enabled automatic or reference-based colorization, while still suffering from unsatisfactory and inaccurate object-level color co…
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin, Lichang Dai, Yafang Zhou +9
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially…
Multi-View Substructure Learning for Drug-Drug Interaction Prediction
Zimeng Li, Shichao Zhu, Bin Shao +3
Drug-drug interaction (DDI) prediction provides a drug combination strategy for systemically effective treatment. Previous studies usually model drug information constrained on a s…
Deep learning for drug repurposing: methods, databases, and applications
Xiaoqin Pan, Xuan Lin, Dongsheng Cao +5
Drug development is time-consuming and expensive. Repurposing existing drugs for new therapies is an attractive solution that accelerates drug development at reduced experimental c…
Heterogeneous network-based drug repurposing for COVID-19
Shuting Jin, Xiangxiang Zeng, Wei Huang +4
The Corona Virus Disease 2019 (COVID-19) belongs to human coronaviruses (HCoVs), which spreads rapidly around the world. Compared with new drug development, drug repurposing may be…
Large-Scale Approximate k-NN Graph Construction on GPU
Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng
k-nearest neighbor graph is a key data structure in many disciplines such as manifold learning, machine learning and information retrieval, etc. NN-Descent was proposed as an effec…
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning
Xiangxiang Zeng, Xiang Song, Tengfei Ma +6
There have been more than 850,000 confirmed cases and over 48,000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by novel severe acute respiratory syndr…
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Quan Zou, Shixiang Wan, Ying Ju +2
Background: It is necessary and essential to discovery protein function from the novel primary sequences. Wet lab experimental procedures are not only time-consuming, but also cost…