Name
Affiliation
Papers
XINGHUA SHI
Harvard Univ, Harvard Med Sch, Boston, MA USA
41
Collaborators
Citations 
PageRank 
87
209
19.00
Referers 
Referees 
References 
572
1012
426
Search Limit
1001000
Title
Citations
PageRank
Year
Participant Selection for Hierarchical Federated Learning in Edge Clouds00.342022
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks00.342021
Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds10.342021
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines20.372021
Informatics And Machine Learning Methods For Health Applications00.342020
A Parallelized Strategy for Epistasis Analysis Based on Empirical Bayesian Elastic Net Models.00.342020
Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks00.342020
Accelerating Bioinformatics Research With International Conference On Intelligent Biology And Medicine 202000.342020
A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction.10.362019
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics.00.342019
Using Deep Neural Network To Predict Drug Sensitivity Of Cancer Cell Lines00.342018
Group Spike-and-Slab Lasso Generalized Linear Models for Disease Prediction and Associated Genes Detection by Incorporating Pathway Information.20.572018
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds00.342018
Lightweight Mutual Authentication Among Sensors In Body Area Networks Through Physical Unclonable Functions00.342017
A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants.00.342017
Lightweight Key Management for Group Communication in Body Area Networks through Physical Unclonable Functions10.352017
Bayesian Hyperparameter Optimization for Machine Learning Based eQTL Analysis00.342017
Nonparametric Detection of Anomalous Data Streams.30.442017
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics.00.342016
A Predictive Model Of Gene Expression Using A Deep Learning Framework00.342016
Building Bayesian Networks From Gwas Statistics Based On Independence Of Causal Influence10.362016
Sequential parallel LASSO models for eQTL analysis00.342015
A Graph Community Approach for Constructing microRNA Networks00.342015
An integrated network of microRNA and gene expression in ovarian cancer.20.472015
CNVnet: combining sparse learning and biological networks to capture joint effect of copy number variants10.372014
Unsupervised nonparametric anomaly detection: A kernel method20.362014
Kernel-based nonparametric anomaly detection10.362014
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding.30.442014
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects.1233.102013
User identification and anonymization in 802.11 wireless LANs.00.342012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping00.342012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping.170.972012
Capacity of data collection in randomly-deployed wireless sensor networks30.412011
802.11 User Anonymization00.342010
Enhanced Feature Selection and Generation for 802.11 User Identification10.372009
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks120.582009
Order-optimal data collection in wireless sensor networks: delay and capacity200.782009
A Bayesian Approach to High-Throughput Biological Model Generation00.342009
Data collection capacity of random-deployed wireless sensor networks110.502009
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models10.382008
Efficient on-demand topology control for wireless ad hoc networks10.372005