Xinghua Shi

Orcid: 0000-0003-4662-3177

According to our database1, Xinghua Shi authored at least 53 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
CoRR, 2023

Multi-Energy Coordinated Day-ahead Energy Management of Integrated Electrical-Gas Energy System.
Proceedings of the 5th International Conference on Internet of Things, 2023

2022
An autoencoder-based deep learning method for genotype imputation.
Frontiers Artif. Intell., 2022

Participant Selection for Hierarchical Federated Learning in Edge Clouds.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Offspring GAN augments biased human genomic data.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds.
IEEE Trans. Netw. Sci. Eng., 2021

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Convergence of Stochastic Compositional Gradient Descent Ascent Method.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Informatics and machine learning methods for health applications.
BMC Medical Informatics Decis. Mak., 2020

Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020.
BMC Bioinform., 2020

A parallelized strategy for epistasis analysis based on Empirical Bayesian Elastic Net models.
Bioinform., 2020

Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Survey on RFID Security and Privacy in Smart Medical: Threats and Protections.
Proceedings of the 4th International Conference on Internet of Things, 2019

A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information.
Bioinform., 2018

Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Nonparametric Detection of Anomalous Data Streams.
IEEE Trans. Signal Process., 2017

A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Lightweight mutual authentication among sensors in body area networks through Physical Unclonable Functions.
Proceedings of the IEEE International Conference on Communications, 2017

Lightweight Key Management for Group Communication in Body Area Networks through Physical Unclonable Functions.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Bayesian Hyperparameter Optimization for Machine Learning Based eQTL Analysis.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics.
Proceedings of the Big Data Computing and Communications - Second International Conference, 2016

Building Bayesian networks from GWAS statistics based on Independence of Causal Influence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A predictive model of gene expression using a deep learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
An integrated network of microRNA and gene expression in ovarian cancer.
BMC Bioinform., 2015

A Graph Community Approach for Constructing microRNA Networks.
Proceedings of the Big Data Computing and Communications - First International Conference, 2015

Sequential parallel LASSO models for eQTL analysis.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Finding Alternative Expression Quantitative Trait Loci by Exploring Sparse Model Space.
J. Comput. Biol., 2014

Nonparametric Detection of Anomalous Data via Kernel Mean Embedding.
CoRR, 2014

Kernel-based nonparametric anomaly detection.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

CNVnet: combining sparse learning and biological networks to capture joint effect of copy number variants.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Unsupervised nonparametric anomaly detection: A kernel method.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects.
IEEE Commun. Surv. Tutorials, 2013

Using aggregate human genome data for individual identification.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
User identification and anonymization in 802.11 wireless LANs.
Secur. Commun. Networks, 2012

A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

A sharp version of Bauer-Fike's theorem.
J. Comput. Appl. Math., 2012

2011
Capacity of data collection in randomly-deployed wireless sensor networks.
Wirel. Networks, 2011

Convergence of General Nonstationary Iterative Methods for Solving Singular Linear Equations.
SIAM J. Matrix Anal. Appl., 2011

2010
802.11 User Anonymization.
Proceedings of the Global Communications Conference, 2010

2009
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks.
ACM Trans. Auton. Adapt. Syst., 2009

Order-Optimal Data Collection in Wireless Sensor Networks: Delay and Capacity.
Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, 2009

Enhanced Feature Selection and Generation for 802.11 User Identification.
Proceedings of the 18th International Conference on Computer Communications and Networks, 2009

Data Collection Capacity of Random-Deployed Wireless Sensor Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

A Bayesian Approach to High-Throughput Biological Model Generation.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models.
Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments, 2008

2007
The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.
Nucleic Acids Res., 2007

2005
Efficient on-demand topology control for wireless ad hoc networks.
Proceedings of the 14th International Conference On Computer Communications and Networks, 2005


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