Multi-path GEM for Routing in Wireless Sensor Networks. - Qiang Ye 001; Yuxing Huang; Andrew Reddin; Lei Wang 126; Wuman Luo (WASA, 2008)

Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis. - Zhang Xiong 001; Wuman Luo; Lei Chen 002; Lionel M. Ni (ICPADS, 2010)

MR-DBSCAN: An Efficient Parallel Density-Based Clustering Algorithm Using MapReduce. - Yaobin He; Haoyu Tan; Wuman Luo; Huajian Mao; Di Ma; Shengzhong Feng; Jianping Fan 002 (ICPADS, 2011)

CloST: a hadoop-based storage system for big spatio-temporal data analytics. - Haoyu Tan; Wuman Luo; Lionel M. Ni (CIKM, 2012)

Exploration of ground truth from raw GPS data. - Huajian Mao; Wuman Luo; Haoyu Tan; Lionel M. Ni; Nong Xiao (UrbComp@KDD, 2012)

Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce. - Wuman Luo; Haoyu Tan; Huajian Mao; Lionel M. Ni (MDM, 2012)

On Packing Very Large R-trees. - Haoyu Tan; Wuman Luo; Huajian Mao; Lionel M. Ni (MDM, 2012)

Finding time period-based most frequent path in big trajectory data. - Wuman Luo; Haoyu Tan; Lei Chen 002; Lionel M. Ni (SIGMOD Conference, 2013)

Inferring Road Type in Crowdsourced Map Services. - Ye Ding; Jiangchuan Zheng; Haoyu Tan; Wuman Luo; Lionel M. Ni (DASFAA (2), 2014)

Exploring the Use of Diverse Replicas for Big Location Tracking Data. - Ye Ding; Haoyu Tan; Wuman Luo; Lionel M. Ni (ICDCS, 2014)

MRTune: A simulator for performance tuning of MapReduce jobs with skewed data. - Xibo Zhou; Wuman Luo; Haoyu Tan (ICPADS, 2014)

MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data. - Yaobin He; Haoyu Tan; Wuman Luo; Shengzhong Feng; Jianping Fan 002 (Frontiers Comput. Sci., 2014)

Clockwise compression for trajectory data under road network constraints. - Yudian Ji; Yuda Zang; Wuman Luo; Xibo Zhou; Ye Ding; Lionel M. Ni (IEEE BigData, 2016)

A Comparison of Road-Network-Constrained Trajectory Compression Methods. - Yudian Ji; Hao Liu 026; Xiaoying Liu; Ye Ding; Wuman Luo (ICPADS, 2016)

Diverse Mobile System for Location-Based Mobile Data. - Qing Liao 001; Haoyu Tan; Wuman Luo; Ye Ding (Wirel. Commun. Mob. Comput., 2018)

Deep Learning for COVID-19 Prediction based on Blood Test. - Ziyue Yu; Lihua He; Wuman Luo; Rita Tse; Giovanni Pau 001 (IoTBDS, 2021)

3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction. - Lihua He; Wuman Luo (MDM, 2022)

Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing. - Si Shi; Wuman Luo; Rita Tse; Giovanni Pau 001 (TALE, 2022)

Deep Learning Hybrid Models for COVID-19 Prediction. - Ziyue Yu; Lihua He; Wuman Luo; Rita Tse; Giovanni Pau 001 (J. Glob. Inf. Manag., 2022)

Machine learning-driven credit risk: a systemic review. - Si Shi; Rita Tse; Wuman Luo; Stefano D'Addona; Giovanni Pau 001 (Neural Comput. Appl., 2022)

On the Correlations between Performance of Deep Networks and Its Robustness to Common Image Perturbations in Medical Image Interpretation. - Chak Fong Chong; Xinyi Fang; Xu Yang 010; Wuman Luo; Yapeng Wang (DICTA, 2023)

MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. - Ziyue Yu; Jiayi Wang; Wuman Luo; Rita Tse; Giovanni Pau 001 (ICDM, 2023)

UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining. - Jiayue Qiu; Ziyue Yu; Wuman Luo (ICIC (4), 2023)

OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control. - Huijie Li; Wei Lin; Jian Huo; Wuman Luo (ICPADS, 2023)

FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs. - KaKit Chio; Wenhao Zhu; Lihua He; Dian Zhang 001; Xu Yang; Wuman Luo (SMC, 2023)

DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes. - Ziyue Yu; Wuman Luo; Rita Tse; Giovanni Pau 001 (IEEE J. Biomed. Health Informatics, 2023)

Image projective transformation rectification with synthetic data for smartphone-captured chest X-ray photos classification. - Chak Fong Chong; Yapeng Wang; Benjamin K. Ng; Wuman Luo; Xu Yang 010 (Comput. Biol. Medicine, 2023)

SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating. - Si Shi; Wuman Luo; Rita Tse; Giovanni Pau 001 (ICSCA, 2024)

DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation. - Jinhong Song; Xiao Yang; Xinglong Liang; Jiaju Huang; Junqiang Ma; Yue Sun; Wuman Luo; SengPeng Mok; Ying Wang; Tao Tan 002 (Deep-Breath@MICCAI, 2024)

A survey on personalized document-level sentiment analysis. - Wenhao Zhu; Jiayue Qiu; Ziyue Yu; Wuman Luo (Neurocomputing, 2024)

Multi-perspective patient representation learning for disease prediction on electronic health records. - Ziyue Yu; Jiayi Wang; Wuman Luo; Rita Tse; Giovanni Pau 001 (Knowl. Inf. Syst., 2024)

The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data. - Yuejing Zhai; Yiping Li; Huijie Li; Wuman Luo (CEC, 2025)

Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation. - Xionghui Lai; Wuman Luo (ICIC (25), 2025)

PatSimBoosting: Enhancing Patient Representations for Disease Prediction Through Similarity Analysis. - Yuzheng Yan; Ziyue Yu; Wuman Luo (IoTBDS, 2025)

A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients. - Yuejing Zhai; Yiping Li; Lihua He; Wuman Luo (IoTBDS, 2025)

An attention-based balanced variational autoencoder method for credit card fraud detection. - Si Shi; Wuman Luo; Giovanni Pau 001 (Appl. Soft Comput., 2025)

ST-RLNet: Spatio-temporal representation learning for multi-step traffic flow prediction. - Lihua He; Si Shi; Dian Zhang 001; Wuman Luo (Neurocomputing, 2025)

Multi-Agent Deep Reinforcement Learning for Multiple Anesthetics Collaborative Control. - Huijie Li; Yide Yu; Si Shi; Anmin Hu; Jian Huo; Wei Lin; Chaoran Wu; Wuman Luo (CoRR, 2025)