Yaohang Li
Orcid: 0000-0003-0178-1876Affiliations:
- Old Dominion University, Norfolk, USA
According to our database1,
Yaohang Li
authored at least 137 papers
between 2001 and 2023.
Collaborative distances:
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Bibliography
2023
Bioinform., September, 2023
Bioinform., May, 2023
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features.
Briefings Bioinform., January, 2023
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
J. Biomed. Informatics, 2023
CellBRF: a feature selection method for single-cell clustering using cell balance and random forest.
Bioinform., 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE J. Biomed. Health Informatics, 2022
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.
CoRR, 2022
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.
Bioinform., 2022
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism.
Bioinform., 2022
Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing.
Proceedings of the International Joint Conference on Neural Networks, 2022
Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Frontiers Comput. Sci., February, 2021
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
De Novo Prediction of Drug-Target Interactions Using Laplacian Regularized Schatten p-Norm Minimization.
J. Comput. Biol., 2021
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals.
Bioinform., 2021
A novel graph attention model for predicting frequencies of drug-side effects from multi-view data.
Briefings Bioinform., 2021
Computational drug repositioning based on multi-similarities bilinear matrix factorization.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Biomedical data and computational models for drug repositioning: a comprehensive review.
Briefings Bioinform., 2021
Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification.
Monte Carlo Methods Appl., 2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN).
CoRR, 2020
BMC Bioinform., 2020
Protein-protein interaction site prediction through combining local and global features with deep neural networks.
Bioinform., 2020
De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
PLoS Comput. Biol., 2019
J. Comput. Sci. Technol., 2019
BMC Bioinform., 2019
Big Data Min. Anal., 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Efficient Randomized Algorithms for the Fixed-Precision Low-Rank Matrix Approximation.
SIAM J. Matrix Anal. Appl., 2018
Computational drug repositioning using low-rank matrix approximation and randomized algorithms.
Bioinform., 2018
Bioinform., 2018
Big Data Min. Anal., 2018
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Identifying At-Risk Students for Early Interventions - A Time-Series Clustering Approach.
IEEE Trans. Emerg. Top. Comput., 2017
Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
A GPU-based large-scale Monte Carlo simulation method for systems with long-range interactions.
J. Comput. Phys., 2017
J. Comput. Appl. Math., 2017
A Fast Implementation of Singular Value Thresholding Algorithm using Recycling Rank Revealing Randomized Singular Value Decomposition.
CoRR, 2017
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017
Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Validating the Correctness of Outsourced Computational Tasks Using Pseudorandom Number Generators.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
2016
A load-balancing workload distribution scheme for three-body interaction computation on Graphics Processing Units (GPU).
J. Parallel Distributed Comput., 2016
Neurocomputing, 2016
Digit. Commun. Networks, 2016
A Rank Revealing Randomized Singular Value Decomposition (R3SVD) Algorithm for Low-rank Matrix Approximations.
CoRR, 2016
CoRR, 2016
Efficient randomized algorithms for adaptive low-rank factorizations of large matrices.
CoRR, 2016
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information.
BMC Bioinform., 2016
An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
What Differentiates News Articles with Short and Long Shelf Lives? A Case Study on News Articles at Bloomberg.com.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
Coarse-Grained Contact Potential Helps Improve Fold Recognition Sensitivity in Template-Based Protein Structure Modeling.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
2015
Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world.
Ind. Manag. Data Syst., 2015
Using Workflow Technology to Create Scenario-based Workflows for Information Security Education: Scenario-based Workflows (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015
Understanding Mobile Banking Applications' Security risks through Blog Mining and the Workflow Technology.
Proceedings of the International Conference on Information Systems, 2015
2014
J. Inf. Syst. Educ., 2014
J. Chem. Inf. Model., 2014
Template-based C8-SCORPION: a protein 8-state secondary structure prediction method using structural information and context-based features.
BMC Bioinform., 2014
Proceedings of the 1st International Workshop on Hardware-Software Co-Design for High Performance Computing, 2014
2013
Convergence Analysis of Markov Chain Monte Carlo Linear Solvers Using Ulam-von Neumann Algorithm.
SIAM J. Numer. Anal., 2013
Mach. Vis. Appl., 2013
Building a Knowledge-Based Statistical Potential by Capturing High-Order Inter-residue Interactions and its Applications in Protein Secondary Structure Assessment.
J. Chem. Inf. Model., 2013
Dinosolve: a protein disulfide bonding prediction server using context-based features to enhance prediction accuracy.
BMC Bioinform., 2013
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
An improved statistics-based backbone torsion potential energy for protein loop structure modeling.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
Accelerating knowledge-based energy evaluation in protein structure modeling with Graphics Processing Units.
J. Parallel Distributed Comput., 2012
MOMCMC: An efficient Monte Carlo method for multi-objective sampling over real parameter space.
Comput. Math. Appl., 2012
2011
DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture.
New Gener. Comput., 2011
Sampling Multiple Scoring Functions Can Improve Protein Loop Structure Prediction Accuracy.
J. Chem. Inf. Model., 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
2010
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
GPU-accelerated differential evolutionary Markov Chain Monte Carlo method for multi-objective optimization over continuous space.
Proceedings of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, 2010
Integrating multiple scoring functions to improve protein loop structure conformation space sampling.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Study of Computing Consolidation Techniques in Computational Protein Loop Structure Modeling.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010
2009
Parallel Comput., 2009
Resource-efficient computing paradigm for computational protein modeling applications.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009
Proceedings of the Computational Science, 2009
Proceedings of the Computational Science, 2009
2008
Proceedings of the Innovative Techniques in Instruction Technology, 2008
J. Supercomput., 2008
A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2008
2007
J. Supercomput., 2007
Efficient Parallel Implementation of Evolutionary Markov Chain Monte Carlo.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2007
Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG.
Proceedings of the Computational Science and Its Applications, 2007
Proceedings of the 45th Annual Southeast Regional Conference, 2007
2006
Using Grid Computing for Distributed Software Testing.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2005
A Personal Software Process Tool for Eclipse Environment.
Proceedings of the International Conference on Software Engineering Research and Practice, 2005
Secure Remote Compiling Services on the Grid.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2005
Path Planning for Unmanned Vehicles Using Ant Colony Optimization on a Dynamic Voronoi Diagram.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
2004
Neural Parallel Sci. Comput., 2004
Bio-inspired Fault Tolerant and Adaptive System Modeling and Simulation on the Grid.
Proceedings of the 2nd International Conference Computing, 2004
2003
Int. J. High Perform. Comput. Appl., 2003
GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003
Computational Infrastructure for Parallel, Distributed, and Grid-Based Monte Carlo Computations.
Proceedings of the Large-Scale Scientific Computing, 4th International Conference, 2003
Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems.
Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003
Improving Performance via Computational Replication on a Large-Scale Computational Grid.
Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003
2002
2001
Monte Carlo Methods Appl., 2001