Wuman Luo

According to our database, Wuman Luo authored at least 38 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 2025

ST-RLNet: Spatio-temporal representation learning for multi-step traffic flow prediction.

Lihua He, Si Shi, Dian Zhang, Wuman Luo

Neurocomputing, 2025

An attention-based balanced variational autoencoder method for credit card fraud detection.

Si Shi, Wuman Luo, Giovanni Pau

Appl. Soft Comput., 2025

A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients.

Yuejing Zhai, Yiping Li, Lihua He, Wuman Luo

Proceedings of the 10th International Conference on Internet of Things, 2025

PatSimBoosting: Enhancing Patient Representations for Disease Prediction Through Similarity Analysis.

Yuzheng Yan, Ziyue Yu, Wuman Luo

Proceedings of the 10th International Conference on Internet of Things, 2025

Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation.

Xionghui Lai, Wuman Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data.

Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Multi-perspective patient representation learning for disease prediction on electronic health records.

Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau

Knowl. Inf. Syst., December, 2024

A survey on personalized document-level sentiment analysis.

Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo

Neurocomputing, 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

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating.

Si Shi, Wuman Luo, Rita Tse, Giovanni Pau

Proceedings of the 13th International Conference on Software and Computer Applications, 2024

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

Comput. Biol. Medicine, September, 2023

DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes.

Ziyue Yu, Wuman Luo, Rita Tse, Giovanni Pau

IEEE J. Biomed. Health Informatics, March, 2023

FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs.

KaKit Chio, Wenhao Zhu, Lihua He, Dian Zhang, Xu Yang, Wuman Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control.

Huijie Li, Wei Lin, Jian Huo, Wuman Luo

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining.

Jiayue Qiu, Ziyue Yu, Wuman Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction.

Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau

Proceedings of the IEEE International Conference on Data Mining, 2023

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, Wuman Luo, Yapeng Wang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Machine learning-driven credit risk: a systemic review.

Si Shi, Rita Tse, Wuman Luo, Stefano D'Addona, Giovanni Pau

Neural Comput. Appl., 2022

Deep Learning Hybrid Models for COVID-19 Prediction.

Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau

J. Glob. Inf. Manag., 2022

Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing.

Si Shi, Wuman Luo, Rita Tse, Giovanni Pau

Proceedings of the IEEE International Conference on Teaching, 2022

3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction.

Lihua He, Wuman Luo

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021

Deep Learning for COVID-19 Prediction based on Blood Test.

Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau

Proceedings of the 6th International Conference on Internet of Things, 2021

2018

Diverse Mobile System for Location-Based Mobile Data.

Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding

Wirel. Commun. Mob. Comput., 2018

2016

A Comparison of Road-Network-Constrained Trajectory Compression Methods.

Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Clockwise compression for trajectory data under road network constraints.

Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014

MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data.

Yaobin He, Haoyu Tan, Wuman Luo, Shengzhong Feng, Jianping Fan

Frontiers Comput. Sci., 2014

MRTune: A simulator for performance tuning of MapReduce jobs with skewed data.

Xibo Zhou, Wuman Luo, Haoyu Tan

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Exploring the Use of Diverse Replicas for Big Location Tracking Data.

Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Inferring Road Type in Crowdsourced Map Services.

Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni

Proceedings of the Database Systems for Advanced Applications, 2014

2013

Finding time period-based most frequent path in big trajectory data.

Wuman Luo, Haoyu Tan, Lei Chen, Lionel M. Ni

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012

On Packing Very Large R-trees.

Haoyu Tan, Wuman Luo, Huajian Mao, Lionel M. Ni

Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce.

Wuman Luo, Haoyu Tan, Huajian Mao, Lionel M. Ni

Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Exploration of ground truth from raw GPS data.

Huajian Mao, Wuman Luo, Haoyu Tan, Lionel M. Ni, Nong Xiao

Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

CloST: a hadoop-based storage system for big spatio-temporal data analytics.

Haoyu Tan, Wuman Luo, Lionel M. Ni

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

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

Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

2010

Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis.

Zhang Xiong, Wuman Luo, Lei Chen, Lionel M. Ni

Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010

2008

Multi-path GEM for Routing in Wireless Sensor Networks.

Qiang Ye, Yuxing Huang, Andrew Reddin, Lei Wang, Wuman Luo

Proceedings of the Wireless Algorithms, 2008