Wuman Luo

Orcid: 0000-0002-2480-3997

According to our database1, Wuman Luo authored at least 30 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-perspective patient representation learning for disease prediction on electronic health records.
Knowl. Inf. Syst., December, 2024

A survey on personalized document-level sentiment analysis.
Neurocomputing, 2024

SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating.
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.
Comput. Biol. Medicine, September, 2023

DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes.
IEEE J. Biomed. Health Informatics, March, 2023

FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs.
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.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction.
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.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Machine learning-driven credit risk: a systemic review.
Neural Comput. Appl., 2022

Deep Learning Hybrid Models for COVID-19 Prediction.
J. Glob. Inf. Manag., 2022

Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing.
Proceedings of the IEEE International Conference on Teaching, 2022

3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021
Deep Learning for COVID-19 Prediction based on Blood Test.
Proceedings of the 6th International Conference on Internet of Things, 2021

2018
Diverse Mobile System for Location-Based Mobile Data.
Wirel. Commun. Mob. Comput., 2018

2016
A Comparison of Road-Network-Constrained Trajectory Compression Methods.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Clockwise compression for trajectory data under road network constraints.
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.
Frontiers Comput. Sci., 2014

MRTune: A simulator for performance tuning of MapReduce jobs with skewed data.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Exploring the Use of Diverse Replicas for Big Location Tracking Data.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Inferring Road Type in Crowdsourced Map Services.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Finding time period-based most frequent path in big trajectory data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
On Packing Very Large R-trees.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Exploration of ground truth from raw GPS data.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

CloST: a hadoop-based storage system for big spatio-temporal data analytics.
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.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

2010
Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis.
Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010

2008
Multi-path GEM for Routing in Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, 2008


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