Energy-efficient subcarrier-bit-power allocation based on genetic algorithm. - Congcong Li; Guixia Kang; Ningbo Zhang; Dongyan Huang; Xiaoshuang Liu; Bingning Zhu; Hao Wu (ChinaCom, 2014)

Design and implementation of MAC layer in very-high-throughput WLAN. - Bingning Zhu; Guixia Kang; Ningbo Zhang; Xiaoshuang Liu; Yuncheng Liu (ChinaCom, 2014)

Enhanced block ACK in Distributed Coordination Function for next generation network. - Bingning Zhu; Guixia Kang; Ningbo Zhang; Xiaoshuang Liu; Congcong Li; Yuncheng Liu (ChinaCom, 2014)

FPGA Design and Implementation of MIMO Decoder for 1 Gbps Wireless LAN. - Ruyue Dong; Guixia Kang; Xiaoshuang Liu; Yuncheng Liu (CyberC, 2014)

Research on CVDs prediction and early warning techniques in healthcare monitoring system. - Yi Chai; Guixia Kang; Ningbo Zhang; Jianwei Wu; Xiaoshuang Liu; Yuncheng Liu (Healthcom, 2014)

A three-dimensional network coverage optimization algorithm in healthcare system. - Xiaoshuang Liu; Guixia Kang; Ningbo Zhang; Bingning Zhu; Congcong Li; Yi Chai; Yuncheng Liu (Healthcom, 2014)

A Deployment Scheme for Lifetime Enhancement of Heterogeneous Wireless Sensor Network. - Xiaoshuang Liu; Guixia Kang; Ningbo Zhang (VTC Fall, 2014)

Algebraic Constructions of Quasi-Cyclic LDPC Codes Based on Prime Fields. - Rui Zhang; Guixia Kang; Ningbo Zhang; Xiaoshuang Liu; Hao Wu (VTC Spring, 2015)

Critical Density for Exposure-Path Prevention in Three-Dimensional Wireless Sensor Networks Using Percolation Theory. - Guixia Kang; Xiaoshuang Liu; Ningbo Zhang; Yanyan Guo; Fabrice Labeau (Int. J. Distributed Sens. Networks, 2015)

Percolation Theory-Based Exposure-Path Prevention for 3D-Wireless Sensor Networks Coverage. - Xiaoshuang Liu; Guixia Kang; Ningbo Zhang (KSII Trans. Internet Inf. Syst., 2015)

Cooperative and Competitive Effect in Heterogeneous Networks of Healthcare System. - Xiaoshuang Liu; Guixia Kang; Ningbo Zhang; Yanyan Guo (KSII Trans. Internet Inf. Syst., 2015)

A Smart Energy-efficiency Deployment Scheme for Lifetime Enhancement in Large-scale Wireless Sensor Networks. - Xiaoshuang Liu; Jianfeng Li; Guixia Kang (Smart Comput. Rev., 2015)

Driver Fatigue Detection Using Multitask Cascaded Convolutional Networks. - Xiaoshuang Liu; Zhijun Fang; Xiang Liu 003; Xiangxiang Zhang; Jianrong Gu; Qi Xu (ICIS, 2017)

IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. - Xiaoshuang Liu; Xinyue Ma; Xiaoyan Meng; Xiang Li 013; Guotong Xie (ICHI, 2019)

FastProNGS: fast preprocessing of next-generation sequencing reads. - Xiaoshuang Liu; Zhenhe Yan; Chao Wu; Yang Yang; Xiaomin Li; Guangxin Zhang (BMC Bioinform., 2019)

Automatic Detection and Classification of 12-lead ECGs Using a Deep Neural Network. - Wenxiao Jia; Xian Xu; Xiao Xu; Yuyao Sun; Xiaoshuang Liu (CinC, 2020)

Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data. - Xiaoshuang Liu; Xiao Xu; Xiang Li 013; Guotong Xie (ICHI, 2020)

Improving the diagnosis of common parotid tumors via the combination of CT image biomarkers and clinical parameters. - Dan Zhang; Xiaojiao Li; Liang Lv; Jiayi Yu; Chao Yang; Hua Xiong; Ruikun Liao; Bi Zhou; Xianlong Huang; Xiaoshuang Liu; Zhuoyue Tang (BMC Medical Imaging, 2020)

A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. - Xiao Xu; Xiaoshuang Liu; Yanni Kang; Xian Xu; Junmei Wang; Yuyao Sun; Quanhe Chen; Xiaoyu Jia 002; Xinyue Ma; Xiaoyan Meng; Xiang Li 013; Guotong Xie (J. Heal. Informatics Res., 2020)

Robust boosting via self-sampling. - Xiaoshuang Liu; Senlin Luo; Limin Pan (Knowl. Based Syst., 2020)

Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. - Xiaoshuang Liu; Xian Xu; Xiao Xu; Xiang Li 013; Guotong Xie (BIBM, 2021)

Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. - Xiao Xu; Xian Xu; Yuyao Sun; Xiaoshuang Liu; Xiang Li 013; Guotong Xie; Fei Wang 001 (ICDM, 2021)

A decision support system for assessing the role of the 5G network and AI in situational teaching research in higher education. - Xiaoshuang Liu; Mohammad Faisal; Abdullah Alharbi (Soft Comput., 2022)

RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice. - Quan Lu; Jiajun Xu; Renyi Zhang; Hangcheng Liu; Meng Wang; Xiaoshuang Liu; Zhenyu Yue; Yujia Gao (Briefings Bioinform., 2024)

RiceSNP-BST: a deep learning framework for predicting biotic stress-associated SNPs in rice. - Jiajun Xu; Yujia Gao; Quan Lu; Renyi Zhang; Jianfeng Gui; Xiaoshuang Liu; Zhenyu Yue (Briefings Bioinform., 2024)

FLSAD: Defending Backdoor Attacks in Federated Learning via Self-Attention Distillation. - Lucheng Chen; Xiaoshuang Liu; Ailing Wang; Weiwei Zhai; Xiang Cheng (Symmetry, 2024)

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? - Xiangyang Li 004; Xiaopeng Li 014; Kuicai Dong; Quanhu Zhang; Rongju Ruan; Xinyi Dai; Xiaoshuang Liu; Shengchun Xu; Yasheng Wang; Ruiming Tang (CoRR, 2025)