Xinghua Shi

61 papers A* 4A 1B 6C 2Misc 1Journal 23Unranked 24
YearRankTypeTitle / Venue / Authors
2025 — conf
DKGM: A diffusion knowledge graph model for medication recommendation leveraging medical and drug information.
ICHI
Yang Zhao, Pei Wang, Xinghua Shi
2025 — conf
FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction.
AIME (1)
Bin Li, Xiaoqian Jiang, Yu-Chun Hsu, Arif Ozgun Harmanci, Hongchang Gao, Xinghua Shi
2025 A* conf
Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting.
ICDM
Yang Zhao, Yuzhou Chen, Xinghua Shi
2025 — conf
Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting.
ICDM (Workshops)
Yang Zhao, Yuzhou Chen, Xinghua Shi
2024 A* conf
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks.
AAAI
Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi
2024 J jnl
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.
npj Digit. Medicine
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
2024 J jnl
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds.
IEEE Trans. Parallel Distributed Syst.
Xinliang Wei, Kejiang Ye, Xinghua Shi, Cheng-Zhong Xu, Yu Wang
2024 — conf
SparseHE: An Efficient Privacy-Preserving Biomedical Prediction Approach Using Sparse Homomorphic Encryption.
ICHI
Chen Song, Wenkang Zhan, Xinghua Shi
2023 J jnl
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
CoRR
Yihan Zhang, Wenhao Jiang, Feng Zheng, Chiu C. Tan, Xinghua Shi, Hongchang Gao
2023 — conf
FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction.
ICCABS
Bin Li, Hongchang Gao, Xinghua Shi
2023 — conf
Multi-Energy Coordinated Day-ahead Energy Management of Integrated Electrical-Gas Energy System.
IoTAAI
Xinghua Shi, Jia Feng, Fan Zhang, Chuangxin Guo
2022 J jnl
An autoencoder-based deep learning method for genotype imputation.
Frontiers Artif. Intell.
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
2022 — conf
Offspring GAN augments biased human genomic data.
BCB
Supratim Das, Xinghua Shi
2022 — conf
Participant Selection for Hierarchical Federated Learning in Edge Clouds.
NAS
Xinliang Wei, Jiyao Liu, Xinghua Shi, Yu Wang
2021 J jnl
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.
IEEE ACM Trans. Comput. Biol. Bioinform.
Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021 Misc conf
Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data.
PSB
Junjie Chen, Wendy Hui Wang, Xinghua Shi
2021 A* conf
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method.
IJCAI
Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi
2021 A* conf
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks.
KDD
Junjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi
2021 J jnl
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds.
IEEE Trans. Netw. Sci. Eng.
Ting Li, Zhijin Qiu, Lijuan Cao, Dazhao Cheng, Weichao Wang, Xinghua Shi, Yu Wang
2020 J jnl
A parallelized strategy for epistasis analysis based on Empirical Bayesian Elastic Net models.
Bioinform.
Jia Wen, Colby T. Ford, Daniel Janies, Xinghua Shi
2020 J jnl
Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020.
BMC Bioinform.
Yan Guo, Li Shen, Xinghua Shi, Kai Wang, Yulin Dai, Zhongming Zhao
2020 J jnl
Informatics and machine learning methods for health applications.
BMC Medical Informatics Decis. Mak.
Li Shen, Xinghua Shi, Zhongming Zhao, Kai Wang
2020 — conf
Population-scale Genomic Data Augmentation Based on Conditional Generative Adversarial Networks.
BCB
Junjie Chen, Mohammad Erfan Mowlaei, Xinghua Shi
2019 — conf
A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction.
BCB
Junjie Chen, Xinghua Shi
2019 C conf
A Survey on RFID Security and Privacy in Smart Medical: Threats and Protections.
IoTBDS
Xinghua Shi, Jinxuan Cao, Tianliang Lu, Victor Chang
2019 J jnl
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi
2018 J jnl
Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information.
Bioinform.
Zaixiang Tang, Yueping Shen, Yan Li, Xinyan Zhang, Jia Wen, Chen'ao Qian, Wenzhuo Zhuang, Xinghua Shi, Nengjun Yi
2018 C conf
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds.
IPCCC
Ting Li, Zhijin Qiu, Lijuan Cao, Hanshang Li, Zhongwen Guo, Fan Li, Xinghua Shi, Yu Wang
2018 — conf
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines.
ICIC (2)
Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2017 J jnl
A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhiyong Wang, Benika Hall, Jinbo Xu, Xinghua Shi
2017 — conf
Bayesian Hyperparameter Optimization for Machine Learning Based eQTL Analysis.
BCB
Andrew Quitadamo, James Johnson, Xinghua Shi
2017 B conf
Lightweight Key Management for Group Communication in Body Area Networks through Physical Unclonable Functions.
CHASE
Penglin Dong, Weichao Wang, Xinghua Shi, Tuanfa Qin
2017 — conf
Lightweight mutual authentication among sensors in body area networks through Physical Unclonable Functions.
ICC
Liping Xie, Weichao Wang, Xinghua Shi, Tuanfa Qin
2017 J jnl
Nonparametric Detection of Anomalous Data Streams.
IEEE Trans. Signal Process.
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2016 — conf
A predictive model of gene expression using a deep learning framework.
BIBM
Rui Xie, Andrew Quitadamo, Jianlin Cheng, Xinghua Shi
2016 — conf
Building Bayesian networks from GWAS statistics based on Independence of Causal Influence.
BIBM
Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi
2016 — conf
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics.
BigCom
Yue Wang, Jia Wen, Xintao Wu, Xinghua Shi
2015 — conf
A Graph Community Approach for Constructing microRNA Networks.
BigCom
Benika Hall, Andrew Quitadamo, Xinghua Shi
2015 J jnl
An integrated network of microRNA and gene expression in ovarian cancer.
BMC Bioinform.
Andrew Quitadamo, Lu Tian, Benika Hall, Xinghua Shi
2015 — conf
Sequential parallel LASSO models for eQTL analysis.
BCB
Anhong He, Benika Hall, Jia Wen, Yingbin Liang, Xinghua Shi
2014 — conf
CNVnet: combining sparse learning and biological networks to capture joint effect of copy number variants.
BCB
Zhiyong Wang, Jinbo Xu, Xinghua Shi
2014 J jnl
Finding Alternative Expression Quantitative Trait Loci by Exploring Sparse Model Space.
J. Comput. Biol.
Zhiyong Wang, Jinbo Xu, Xinghua Shi
2014 — conf
Kernel-based nonparametric anomaly detection.
SPAWC
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2014 J jnl
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding.
CoRR
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2014 — conf
Unsupervised nonparametric anomaly detection: A kernel method.
Allerton
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi
2013 J jnl
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects.
IEEE Commun. Surv. Tutorials
Ying Zhu, Bin Xu, Xinghua Shi, Yu Wang
2013 — conf
Using aggregate human genome data for individual identification.
BIBM
Yue Wang, Xintao Wu, Xinghua Shi
2012 A conf
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping.
AISTATS
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu
2012 J jnl
A sharp version of Bauer-Fike's theorem.
J. Comput. Appl. Math.
Xinghua Shi, Yimin Wei
2012 J jnl
User identification and anonymization in 802.11 wireless LANs.
Secur. Commun. Networks
Dingbang Xu, Yu Wang, Xinghua Shi, Xiaohang Yin
2011 J jnl
Capacity of data collection in randomly-deployed wireless sensor networks.
Wirel. Networks
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
2011 J jnl
Convergence of General Nonstationary Iterative Methods for Solving Singular Linear Equations.
SIAM J. Matrix Anal. Appl.
Xinghua Shi, Yimin Wei, Wen Zhang
2010 B conf
802.11 User Anonymization.
GLOBECOM
Dingbang Xu, Yu Wang, Xinghua Shi, Xiaohang Yin
2009 — conf
A Bayesian Approach to High-Throughput Biological Model Generation.
BICoB
Xinghua Shi, Rick L. Stevens
2009 B conf
Data Collection Capacity of Random-Deployed Wireless Sensor Networks.
GLOBECOM
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
2009 B conf
Enhanced Feature Selection and Generation for 802.11 User Identification.
ICCCN
Dingbang Xu, Yu Wang, Xinghua Shi
2009 B conf
Order-Optimal Data Collection in Wireless Sensor Networks: Delay and Capacity.
SECON
Siyuan Chen, Yu Wang, Xiang-Yang Li, Xinghua Shi
2009 J jnl
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks.
ACM Trans. Auton. Adapt. Syst.
Yu Wang, Lijuan Cao, Teresa A. Dahlberg, Fan Li, Xinghua Shi
2008 — conf
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models.
CLADE
Xinghua Shi, Rick Stevens
2007 J jnl
The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.
Nucleic Acids Res.
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
2005 B conf
Efficient on-demand topology control for wireless ad hoc networks.
ICCCN
Yu Wang, Xinghua Shi