Shaoliang Peng

Orcid: 0000-0002-4647-2615

According to our database1, Shaoliang Peng authored at least 154 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A hierarchical attention network integrating multi-scale relationship for drug response prediction.
Inf. Fusion, 2024

3DSGIMD: An accurate and interpretable molecular property prediction method using 3D spatial graph focusing network and structure-based feature fusion.
Future Gener. Comput. Syst., 2024

LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network.
Expert Syst. Appl., 2024

A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches.
Comput. Sci. Rev., 2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival.
CoRR, 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.
CoRR, 2024

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data.
Comput. Methods Programs Biomed., 2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.
Comput. Biol. Medicine, 2024

MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction.
Briefings Bioinform., 2024

Report-Concept Textual-Prompt Learning for Enhancing X-ray Diagnosis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fighting Fire with Fire: Medical AI Models Defend Against Backdoor Attacks via Self-learning.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Pipe-AGCM: A Fine-Grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023
Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis.
Comput. Biol. Medicine, October, 2023

An Integration Framework of Secure Multiparty Computation and Deep Neural Network for Improving Drug-Drug Interaction Predictions.
J. Comput. Biol., September, 2023

HF-DDI: Predicting Drug-Drug Interaction Events Based on Multimodal Hybrid Fusion.
J. Comput. Biol., September, 2023

DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation.
Biomed. Signal Process. Control., August, 2023

Palm bunch grading technique using a multi-input and multi-label convolutional neural network.
Comput. Electron. Agric., July, 2023

Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.
Nat. Mac. Intell., April, 2023

A peer-to-peer file storage and sharing system based on consortium blockchain.
Future Gener. Comput. Syst., April, 2023

GADRP: graph convolutional networks and autoencoders for cancer drug response prediction.
Briefings Bioinform., January, 2023

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning.
CoRR, 2023

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model.
CoRR, 2023

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.
CoRR, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.
CoRR, 2023

Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data.
CoRR, 2023

Understanding and Detecting On-The-Fly Configuration Bugs.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Performance Evaluation of Spark, Ray and MPI: A Case Study on Long Read Alignment Algorithm.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

EMIS: A Uniform Management and Resolution System of Multiple Identifiers on Ethereum.
Proceedings of the IEEE International Conference on Blockchain, 2023

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Detecting and Classifying Nuclei Using Multi-Scale Fully Convolutional Network.
J. Comput. Biol., 2022

MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images.
Health Inf. Sci. Syst., 2022

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.
CoRR, 2022

A review of machine learning approaches, challenges and prospects for computational tumor pathology.
CoRR, 2022

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery.
CoRR, 2022

Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis.
Comput. J., 2022

MinimapR: A parallel alignment tool for the analysis of large-scale third-generation sequencing data.
Comput. Biol. Chem., 2022

Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma.
Biomed. Signal Process. Control., 2022

D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19.
Briefings Bioinform., 2022

SVPath: an accurate pipeline for predicting the pathogenicity of human exon structural variants.
Briefings Bioinform., 2022

Channel pruning guided by global channel relation.
Appl. Intell., 2022

EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

A Multimodal Data Fusion-Based Deep Learning Approach for Drug-Drug Interaction Prediction.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

UniMed: Multimodal Multitask Learning for Medical Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

deepDGA: Biomedical Heterogeneous Network-based Deep Learning Framework for Disease-Gene Association Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
LUNAR : Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Guest Editorial for the 17th Asia Pacific Bioinformatics Conference.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

CRISP-view: a database of functional genetic screens spanning multiple phenotypes.
Nucleic Acids Res., 2021

D2D-Enabled Mobile-Edge Computation Offloading for Multiuser IoT Network.
IEEE Internet Things J., 2021

Performance Improvement of Atmospheric Continuous-Variable Quantum Key Distribution with Untrusted Source.
Entropy, 2021

Heterogeneous network-based drug repurposing for COVID-19.
CoRR, 2021

VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments.
BMC Bioinform., 2021

MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.
Bioinform., 2021

BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
Bioinform., 2021

DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19.
Briefings Bioinform., 2021

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph.
Briefings Bioinform., 2021

CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and Localization.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

IDOS: Improved D3DOCK on Spark.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

ParaPindel: a scalable coordinated parallel detection framework for human genome-wide structural variation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
High-Scalable Collaborated Parallel Framework for Large-Scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Joint consensus and diversity for multi-view semi-supervised classification.
Mach. Learn., 2020

An efficient framework for generating robust adversarial examples.
Int. J. Intell. Syst., 2020

A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning.
Appl. Intell., 2020

Re-ranking Answer Selection with Similarity Aggregation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Dynamic Protection Mechanism for GPU Memory Overflow.
Proceedings of the Network and Parallel Computing, 2020

A Review on Scalability of Blockchain.
Proceedings of the ICBCT'20: The 2nd International Conference on Blockchain Technology, 2020

Blockchain for Data Science.
Proceedings of the ICBCT'20: The 2nd International Conference on Blockchain Technology, 2020

A deep metric learning algorithm for similarity measure of the gene expression profile.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Multi-View Weighted Feature Fusion Using CNN for Pneumonia Detection on Chest X-Rays.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Predicting functional elements and variants effects in non-coding regions based on deep learning.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A drug information embedding method based on graph convolution neural network.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing.
J. Signal Process. Syst., 2019

A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Academic research trend analysis based on big data technology.
Int. J. Comput. Sci. Eng., 2019

Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks.
Complex., 2019

DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters.
Bioinform., 2019

LIVE: a manually curated encyclopedia of experimentally validated interactions of lncRNAs.
Database J. Biol. Databases Curation, 2019

XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi Clusters.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

vGuard: A Spatiotemporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
ConfVD: System Reactions Analysis and Evaluation Through Misconfiguration Injection.
IEEE Trans. Reliab., 2018

mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection.
IEEE Trans. Parallel Distributed Syst., 2018

cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining.
BMC Bioinform., 2018

Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture.
BMC Bioinform., 2018

2017
Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework.
J. Comput. Biol., 2017

P-Hint-Hunt: a deep parallelized whole genome DNA methylation detection tool.
BMC Genom., 2017

mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters.
BMC Bioinform., 2016

mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

High performance computational biology and drug design on TianHe Supercomputers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Neo-hetergeneous Programming and Parallelized Optimization of a Human Genome Re-sequencing Analysis Software Pipeline on TH-2 Supercomputer.
Supercomput. Front. Innov., 2015

SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing.
Quant. Biol., 2015

HeMatch: A redundancy layout placement scheme for erasure-coded storages in practical heterogeneous failure patterns.
Sci. China Inf. Sci., 2015

MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC).
BMC Bioinform., 2015

BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads.
Proceedings of the High Performance Computing - 30th International Conference, 2015

Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2.
Proceedings of the High Performance Computing - 30th International Conference, 2015

A Method to Accelerate GROMACS in Offload Mode on Tianhe-2 Supercomputer.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

The Challenge of Scaling Genome Big Data Analysis Software on TH-2 Supercomputer.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

mAMBER: Accelerating Explicit Solvent Molecular Dynamic with Intel Xeon Phi Many-Integrated Core Coprocessors.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

mD3DOCKxb: A Deep Parallel Optimized Software for Molecular Docking with Intel Xeon Phi Coprocessors.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs.
World Wide Web, 2014

IMGPU: GPU-Accelerated Influence Maximization in Large-Scale Social Networks.
IEEE Trans. Parallel Distributed Syst., 2014

MICA: A fast short-read aligner that takes full advantage of Intel Many Integrated Core Architecture (MIC).
CoRR, 2014

mBWA: A Massively Parallel Sequence Reads Aligner.
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

2013
INCOME: Practical land monitoring in precision agriculture with sensor networks.
Comput. Commun., 2013

The architecture and traffic management of wireless collaborated hybrid data center network.
Proceedings of the ACM SIGCOMM 2013 Conference, 2013

2012
Fast Release/Capture Sampling in Large-Scale Sensor Networks.
IEEE Trans. Mob. Comput., 2012

A scalable code dissemination protocol in heterogeneous wireless sensor networks.
Sci. China Inf. Sci., 2012

HLA-Based Parallel Simulation: A Case Study.
Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012

2011
Empirical Study on Entity Interaction Graph of Large-Scale Parallel Simulations.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011

A Well-Balanced Time Warp System on Multi-Core Environments.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011

2010
Fish a lake: Fast release/capture sampling in large-scale sensor networks.
Proceedings of the 18th International Workshop on Quality of Service, 2010

MPIActor: A thread-based MPI program accelerator.
Proceedings of the 18th International Workshop on Quality of Service, 2010

Exploring the practicability of mobile sensors in complex environment surveillance.
Proceedings of the 18th International Workshop on Quality of Service, 2010

2009
Fast summation via sampling in large-scale sensor networks.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009

Estimation of a Population Size in Large-Scale Wireless Sensor Networks.
J. Comput. Sci. Technol., 2009

EDEVS : A Scalable DEVS Formalism for Event-Scheduling Based Parallel and Distributed Simulations.
Proceedings of the 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2009

2008
Scalable Base-Station Model-Based Multicast in Wireless Sensor Networks.
J. Comput. Sci. Technol., 2008

Using cable-based mobile sensors to assist environment surveillance.
Proceedings of the IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, 2008

Barrier Coverage with Mobile Sensors.
Proceedings of the 9th International Symposium on Parallel Architectures, 2008

SenCast: Scalable multicast in wireless sensor networks.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007
Real-Time Data Delivery in Wireless Sensor Networks: A Data-Aggregated, Cluster-Based Adaptive Approach.
Proceedings of the Ubiquitous Intelligence and Computing, 4th International Conference, 2007

Credit based Fairness Control in Wireless Sensor Network.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

A Framework for Congestion Control for Reliable Data Delivery in Wireless Sensor Networks.
Proceedings of the Integrated Network Management, 2007

A Delay Sensitive Feedback Control Data Aggregation Approach in Wireless Sensor Network.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
Path Selection of Reliable Data Delivery in Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, 2006

A Trust-Based Routing Framework in Energy-Constrained Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, 2006

Feedback Control with Prediction for Thread Allocation in Pipeline Architecture Web Server.
Proceedings of the Distributed Computing and Networking, 8th International Conference, 2006

Energy Efficient Multipath Routing Using Network Coding in Wireless Sensor Networks.
Proceedings of the Ad-Hoc, Mobile, and Wireless Networks, 5th International Conference, 2006


  Loading...