Xinghua Shi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Privacy Preservation

Gene Expression

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Xinliang Wei, Kejiang Ye, Xinghua Shi, Cheng-Zhong Xu, Yu Wang
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. IEEE Trans. Parallel Distributed Syst. 35 (8) (2024)
Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 7 (1) (2024)
Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. AAAI (2024)
Xinghua Shi, Jia Feng, Fan Zhang, Chuangxin Guo
Multi-Energy Coordinated Day-ahead Energy Management of Integrated Electrical-Gas Energy System. IoTAAI (2023)
Yihan Zhang, Wenhao Jiang, Feng Zheng, Chiu C. Tan, Xinghua Shi, Hongchang Gao
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems? CoRR (2023)
Xinliang Wei, Jiyao Liu, Xinghua Shi, Yu Wang
Participant Selection for Hierarchical Federated Learning in Edge Clouds. NAS (2022)
Supratim Das, Xinghua Shi
Offspring GAN augments biased human genomic data. BCB (2022)
Meng Song, Jonathan Greenbaum, Joseph Luttrell IV, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan-Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang
An autoencoder-based deep learning method for genotype imputation. Frontiers Artif. Intell. 5 (2022)
Ting Li, Zhijin Qiu, Lijuan Cao, Dazhao Cheng, Weichao Wang, Xinghua Shi, Yu Wang
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Junjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks. KDD (2021)
Junjie Chen, Wendy Hui Wang, Xinghua Shi
Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data. PSB (2021)
Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method. IJCAI (2021)
Jia Wen, Colby T. Ford, Daniel Janies, Xinghua Shi
A parallelized strategy for epistasis analysis based on Empirical Bayesian Elastic Net models. Bioinform. 36 (12) (2020)
Yan Guo, Li Shen, Xinghua Shi, Kai Wang, Yulin Dai, Zhongming Zhao
Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020. BMC Bioinform. (21) (2020)
Junjie Chen, Mohammad Erfan Mowlaei, Xinghua Shi
Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks. BCB (2020)
Li Shen, Xinghua Shi, Zhongming Zhao, Kai Wang
Informatics and machine learning methods for health applications. BMC Medical Informatics Decis. Mak. (11) (2020)
Junjie Chen, Xinghua Shi
A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction. BCB (2019)
Xinghua Shi, Jinxuan Cao, Tianliang Lu, Victor Chang
A Survey on RFID Security and Privacy in Smart Medical: Threats and Protections. IoTBDS (2019)
Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Zaixiang Tang, Yueping Shen, Yan Li, Xinyan Zhang, Jia Wen, Chen'ao Qian, Wenzhuo Zhuang, Xinghua Shi, Nengjun Yi
Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information. Bioinform. 34 (6) (2018)
Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) (2018)
Ting Li, Zhijin Qiu, Lijuan Cao, Hanshang Li, Zhongwen Guo, Fan Li, Xinghua Shi, Yu Wang
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds. IPCCC (2018)
Penglin Dong, Weichao Wang, Xinghua Shi, Tuanfa Qin
Lightweight Key Management for Group Communication in Body Area Networks through Physical Unclonable Functions. CHASE (2017)
Liping Xie, Weichao Wang, Xinghua Shi, Tuanfa Qin
Lightweight mutual authentication among sensors in body area networks through Physical Unclonable Functions. ICC (2017)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
Nonparametric Detection of Anomalous Data Streams. IEEE Trans. Signal Process. 65 (21) (2017)
Andrew Quitadamo, James Johnson, Xinghua Shi
Bayesian Hyperparameter Optimization for Machine Learning Based eQTL Analysis. BCB (2017)
Zhiyong Wang, Benika Hall, Jinbo Xu, Xinghua Shi
A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi
Building Bayesian networks from GWAS statistics based on Independence of Causal Influence. BIBM (2016)
Yue Wang, Jia Wen, Xintao Wu, Xinghua Shi
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics. BigCom (2016)
Rui Xie, Andrew Quitadamo, Jianlin Cheng, Xinghua Shi
A predictive model of gene expression using a deep learning framework. BIBM (2016)
Anhong He, Benika Hall, Jia Wen, Yingbin Liang, Xinghua Shi
Sequential parallel LASSO models for eQTL analysis. BCB (2015)
Andrew Quitadamo, Lu Tian, Benika Hall, Xinghua Shi
An integrated network of microRNA and gene expression in ovarian cancer. BMC Bioinform. 16 (S-5) (2015)
Benika Hall, Andrew Quitadamo, Xinghua Shi
A Graph Community Approach for Constructing microRNA Networks. BigCom (2015)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
Unsupervised nonparametric anomaly detection: A kernel method. Allerton (2014)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding. CoRR (2014)
Zhiyong Wang, Jinbo Xu, Xinghua Shi
CNVnet: combining sparse learning and biological networks to capture joint effect of copy number variants. BCB (2014)
Zhiyong Wang, Jinbo Xu, Xinghua Shi
Finding Alternative Expression Quantitative Trait Loci by Exploring Sparse Model Space. J. Comput. Biol. 21 (5) (2014)
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
Kernel-based nonparametric anomaly detection. SPAWC (2014)
Ying Zhu, Bin Xu, Xinghua Shi, Yu Wang
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects. IEEE Commun. Surv. Tutorials 15 (1) (2013)
Yue Wang, Xintao Wu, Xinghua Shi
Using aggregate human genome data for individual identification. BIBM (2013)
Xinghua Shi, Yimin Wei
A sharp version of Bauer-Fike's theorem. J. Comput. Appl. Math. 236 (13) (2012)
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping. AISTATS (2012)
Dingbang Xu, Yu Wang, Xinghua Shi, Xiaohang Yin
User identification and anonymization in 802.11 wireless LANs. Secur. Commun. Networks 5 (1) (2012)
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
Capacity of data collection in randomly-deployed wireless sensor networks. Wirel. Networks 17 (2) (2011)
Xinghua Shi, Yimin Wei, Wen Zhang
Convergence of General Nonstationary Iterative Methods for Solving Singular Linear Equations. SIAM J. Matrix Anal. Appl. 32 (1) (2011)
Dingbang Xu, Yu Wang, Xinghua Shi, Xiaohang Yin
802.11 User Anonymization. GLOBECOM (2010)
Yu Wang, Lijuan Cao, Teresa A. Dahlberg, Fan Li, Xinghua Shi
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks. ACM Trans. Auton. Adapt. Syst. 4 (3) (2009)
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
Data Collection Capacity of Random-Deployed Wireless Sensor Networks. GLOBECOM (2009)
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
Order-Optimal Data Collection in Wireless Sensor Networks: Delay and Capacity. SECON (2009)
Xinghua Shi, Rick L. Stevens
A Bayesian Approach to High-Throughput Biological Model Generation. BICoB (2009)
Dingbang Xu, Yu Wang, Xinghua Shi
Enhanced Feature Selection and Generation for 802.11 User Identification. ICCCN (2009)
Xinghua Shi, Rick Stevens
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models. CLADE (2008)
Leslie Klis McNeil, Claudia Reich, Ramy K. Aziz, Daniela Bartels, Matthew Cohoon, Terry Disz, Robert A. Edwards, Svetlana Gerdes, Kaitlyn Hwang, Michael Kubal, Gohar Rem Margaryan, Folker Meyer, William Mihalo, Gary J. Olsen, Robert Olson, Andrei Osterman, Daniel Paarmann, Tobias Paczian, Bruce D. Parrello, Gordon D. Pusch, Dmitry A. Rodionov, Xinghua Shi, Olga Vassieva, Veronika Vonstein, Olga Zagnitko, Fangfang Xia, Jenifer Zinner, Ross A. Overbeek, Rick Stevens
The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation. Nucleic Acids Res. 35 (Database-Issue) (2007)
Yu Wang, Xinghua Shi
Efficient on-demand topology control for wireless ad hoc networks. ICCCN (2005)