Jianyu Shi

According to our database1, Jianyu Shi authored at least 42 papers between 2006 and 2024.

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Bibliography

2024
Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities.
J. Chem. Inf. Model., January, 2024

2023
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
Bioinform., August, 2023

Attention-based cross domain graph neural network for prediction of drug-drug interactions.
Briefings Bioinform., July, 2023

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.
Briefings Bioinform., July, 2023

A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
Briefings Bioinform., January, 2023

DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine.
CoRR, 2023

CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties.
Bioinform., 2023

Bamboo Agents: Exploring the Potentiality of Digital Craft by Decoding and Recoding Process.
Proceedings of the Seventeenth International Conference on Tangible, 2023

MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow.
Proceedings of the Research in Computational Molecular Biology, 2023

GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
RANEDDI: Relation-aware network embedding for drug-drug interaction prediction.
Inf. Sci., 2022

Predict multi-type drug-drug interactions in cold start scenario.
BMC Bioinform., 2022

STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions.
Briefings Bioinform., 2022

Drug-drug interaction prediction with learnable size-adaptive molecular substructures.
Briefings Bioinform., 2022

Directed graph attention networks for predicting asymmetric drug-drug interactions.
Briefings Bioinform., 2022

AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Enhanced CT Image Generation by GAN for Improving Thyroid Anatomy Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Interpretable prediction of drug-cell line response by triple matrix factorization.
Quant. Biol., December, 2021

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.
Briefings Bioinform., 2021

2020
DPDDI: a deep predictor for drug-drug interactions.
BMC Bioinform., 2020

2019
Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization.
J. Cheminformatics, 2019

Predicting combinative drug pairs via multiple classifier system with positive samples only.
Comput. Methods Programs Biomed., 2019

2018
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization.
BMC Syst. Biol., 2018

BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion.
BMC Bioinform., 2018

TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.
BMC Bioinform., 2018

2017
Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features.
BMC Bioinform., 2017

Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Constrained pairwise and center-star sequences alignment problems.
J. Comb. Optim., 2016

Predicting existing targets for new drugs base on strategies for missing interactions.
BMC Bioinform., 2016

LCM-DS: A novel approach of predicting drug-drug interactions for new drugs via Dempster-Shafer theory of evidence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

The need of accelerators in analyzing biological networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Predicting Drug-Target Interactions Between New Drugs and New Targets via Pairwise K-nearest Neighbor and Automatic Similarity Selection.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

SRP: A concise non-parametric similarity-rank-based model for predicting drug-target interactions.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
On the Complexity of Constrained Sequences Alignment Problems.
Proceedings of the Frontiers in Algorithmics - 8th International Workshop, 2014

Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering<sup>1</sup>.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2010
Local Phase Quantization Texture Descriptor for Protein Classification.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009
Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

2008
A new system for computer-aided intraoperative simulation and postoperative facial appearance prediction of orthognathic surgery.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

2007
Using Decision Templates to Predict Subcellular Localization of Protein.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

2006
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006


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