Semantic Access: Semantic Interface for Querying Databases. - Naphtali Rishe; Jun Yuan; Rukshan Athauda; Shu-Ching Chen; Xiaoling Lu; Xiaobin Ma; Alexander Vaschillo; Artyom Shaposhnikov; Dmitry Vasilevsky (VLDB, 2000)

Effect of Rosmarinic Acid on Aged Mice in Morris Water Maze Performance. - Ping Zhou; Xiaoling Lu; Jianchun Hou; Chungang Hu (BMEI, 2009)

An Improved AdaBoost Algorithm for Unbalanced Classification Data. - Jie Song 007; Xiaoling Lu; Xizhi Wu (FSKD (1), 2009)

A New Survival Model for the Diffusion Pattern of TV Programs. - Xiaoling Lu; Hing Po Lo (Commun. Stat. Simul. Comput., 2010)

Hierarchical classification model based on MD feature selection method. - Miao Liu; Xiaoling Lu; Jie Song 007; Xizhi Wu (FSKD, 2011)

Imputation of missing data using ensemble algorithms. - Xiaoling Lu; Jiesheng Si; Lanfeng Pan; Yanyun Zhao (FSKD, 2011)

A new LogitBoost algorithm for multiclass unbalanced data classification. - Jie Song 007; Xiaoling Lu; Miao Liu; Xizhi Wu (FSKD, 2011)

A New Two-Group-Forecast-and-Selection Method for Direct Marketing. - Xiaoling Lu; Jie Song 007; Miao Liu; Xizhi Wu (Commun. Stat. Simul. Comput., 2011)

Stratified Normalization LogitBoost for Two-Class Unbalanced Data Classification. - Jie Song 007; Xiaoling Lu; Miao Liu; Xizhi Wu (Commun. Stat. Simul. Comput., 2011)

Nano-fabricated memristive biosensors for biomedical applications with liquid and dried samples. - Ioulia Tzouvadaki; Xiaoling Lu; Giovanni De Micheli; Sven Ingebrandt; Sandro Carrara (EMBC, 2016)

A New Feature Selection Method for Text Categorization of Customer Reviews. - Miao Liu; Xiaoling Lu; Jie Song 007 (Commun. Stat. Simul. Comput., 2016)

Cluster-Based Smartphone Predictive Analytics for Application Usage and Next Location Prediction. - Xiaoling Lu; Bharatendra Rai; Yan Zhong; Yuzhu Li (Int. J. Bus. Intell. Res., 2018)

An online Bayesian approach to change-point detection for categorical data. - Yiwei Fan; Xiaoling Lu (Knowl. Based Syst., 2020)

A named entity topic model for news popularity prediction. - Yang Yang 123; Yang Liu; Xiaoling Lu; Jin Xu 002; Feifei Wang (Knowl. Based Syst., 2020)

Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora. - Yandi Zhu; Xiaoling Lu; Jingya Hong; Feifei Wang (CoRR, 2021)

Rapid Determination of Low Heavy Metal Concentrations in Grassland Soils around Mining Using Vis-NIR Spectroscopy: A Case Study of Inner Mongolia, China. - Aru Han; Xiaoling Lu; Song Qing; Yongbin Bao; Yuhai Bao; Qing Ma; Xingpeng Liu; Jiquan Zhang (Sensors, 2021)

Consensus of Julia Sets of Potts Models on Diamond-Like Hierarchical Lattice. - Xiaoling Lu; Weihua Sun (IEEE Access, 2022)

Machine Learning-Enabled Noncontact Sleep Structure Prediction. - Qian Zhai; Tingyu Tang; Xiaoling Lu; Xiaoxi Zhou; Chunguang Li 003; Jingang Yi; Tao Liu 006 (Adv. Intell. Syst., 2022)

Topic change point detection using a mixed Bayesian model. - Xiaoling Lu; Yuxuan Guo; Jiayi Chen; Feifei Wang (Data Min. Knowl. Discov., 2022)

Joint dynamic topic model for recognition of lead-lag relationship in two text corpora. - Yandi Zhu; Xiaoling Lu; Jingya Hong; Feifei Wang (Data Min. Knowl. Discov., 2022)

Mining multi-brand characteristics from online reviews for competitive analysis: A brand joint model using latent Dirichlet allocation. - Yuxuan Guo; Feifei Wang; Chen Xing; Xiaoling Lu (Electron. Commer. Res. Appl., 2022)

Multivariate change point detection for heterogeneous series. - Yuxuan Guo; Ming Gao; Xiaoling Lu (Neurocomputing, 2022)

Bayesian sparse joint dynamic topic model with flexible lead-lag order. - Feifei Wang; Rui Zhou; Yichao Feng; Xiaoling Lu (Inf. Sci., 2022)

3D transfer learning network for classification of Alzheimer's disease with MRI. - Haifeng Wu; Jinling Luo; Xiaoling Lu; Yu Zeng 002 (Int. J. Mach. Learn. Cybern., 2022)

Enhancing Locomotion Recognition with Specialized Features and Map Information via XGBoost. - Jiebi Deng; Jingqiu Xu; Zicheng Sun; Danning Li; Hongxuan Guo; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

A Post-processing Machine Learning for Activity Recognition Challenge with OpenStreetMap Data. - Shiyao Huang; Junliang Lyu; Sinian Zhang; Ruiying Tang; Huan Xiao; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

Enhanced SHL Recognition Using Machine Learning and Deep Learning Models with Multi-source Data. - Mengyuan Li; Jun Zhu; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

AttenDenseNet for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge. - Hanchao Yan; Xinran Huang; Yiling Ma; Ruizhe Yao; Zhiyu Zhu; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

An Ensemble Framework Based on Fine Multi-Window Feature Engineering and Overfitting Prevention for Transportation Mode Recognition. - Zehong Zeng; Yueyang Liu; Xiaoshi Lu; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

Road Network Enhanced Transportation Mode Recognition with an Ensemble Machine Learning Model. - Yaya Zhao; Lin Song 005; Cheng Ni; Yuanyuan Zhang 010; Xiaoling Lu (UbiComp/ISWC Adjunct, 2023)

Stochastic Bike-Sharing Transport Network Design. - Gang Wang; Yiwei Fan; Xiaoling Lu (SDSC, 2023)

A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. - Yaya Zhao; Kaiqi Zhao 001; Zhiqian Chen; Yuanyuan Zhang 010; Yalei Du; Xiaoling Lu (IJCAI, 2024)

Multimodal aspect-category sentiment analysis based on multi-level information. - Xiaoning Wang; Tao Zhou; Xiaoling Lu (IJCNN, 2024)

Conjugate Bayesian Two-step Change Point Detection for Hawkes Process. - Zeyue Zhang; Xiaoling Lu; Feng Zhou (NeurIPS, 2024)

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression. - Junliang Lyu; Yixuan Zhang; Xiaoling Lu; Feng Zhou (CoRR, 2024)

Twin Towers End to End model for aspect-based sentiment analysis. - Ziliang Li; Yuqian Song; Xiaoling Lu; Miao Liu (Expert Syst. Appl., 2024)

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression. - Junliang Lyu; Yixuan Zhang 006; Xiaoling Lu; Feng Zhou 011 (KDD (1), 2025)

Unraveling the anchoring effect of seller's show on buyer's show to enhance review helpfulness prediction: A multi-granularity attention network model with multimodal information. - Feifei Wang; Zeyue Zhang; Jie Song; Yixia Yang; Xiaoling Lu (Electron. Commer. Res. Appl., 2025)

Trajectory representation learning with multilevel attention for driver identification. - Mengyuan Li; Yuanyuan Zhang 010; Yaya Zhao; Yalei Du; Xiaoling Lu (Expert Syst. Appl., 2025)

External information enhancing topic model based on graph neural network. - Jie Song; Xiaoling Lu; Jingya Hong; Feifei Wang (Expert Syst. Appl., 2025)

STrajRAG: Supervised trajectory retrieval augmented generation for next POI recommendation with travel semantics. - Zhongtan Lin; Xiaowen Zhang; Kaiqi Zhao 001; Xiaoling Lu; Yuanyuan Zhang 010 (Inf. Process. Manag., 2025)

Sparse dynamic topic model with topic birth and death over time. - Rui Zhou; Feifei Wang; Chang Liu; Xiaoling Lu (Knowl. Inf. Syst., 2025)

Knowledge emerging trend detection using relevance-based dynamic thin topic model. - Feifei Wang; Xueqiong Yuan; Xiaoling Lu (Pattern Anal. Appl., 2025)