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Wuman Luo
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2020 – today
- 2024
- [j8]Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo:
A survey on personalized document-level sentiment analysis. Neurocomputing 609: 128449 (2024) - [j7]Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau:
Multi-perspective patient representation learning for disease prediction on electronic health records. Knowl. Inf. Syst. 66(12): 7837-7858 (2024) - [c22]Si Shi, Wuman Luo, Rita Tse, Giovanni Pau:
SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating. ICSCA 2024: 124-129 - [i1]Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau:
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. CoRR abs/2401.00756 (2024) - 2023
- [j6]Chak Fong Chong, Yapeng Wang, Benjamin K. Ng, Wuman Luo, Xu Yang:
Image projective transformation rectification with synthetic data for smartphone-captured chest X-ray photos classification. Comput. Biol. Medicine 164: 107277 (2023) - [j5]Ziyue Yu, Wuman Luo, Rita Tse, Giovanni Pau:
DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes. IEEE J. Biomed. Health Informatics 27(3): 1558-1568 (2023) - [c21]Chak Fong Chong, Xinyi Fang, Xu Yang, Wuman Luo, Yapeng Wang:
On the Correlations between Performance of Deep Networks and Its Robustness to Common Image Perturbations in Medical Image Interpretation. DICTA 2023: 426-433 - [c20]Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau:
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. ICDM 2023: 758-767 - [c19]Jiayue Qiu, Ziyue Yu, Wuman Luo:
UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining. ICIC (4) 2023: 456-471 - [c18]Huijie Li, Wei Lin, Jian Huo, Wuman Luo:
OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control. ICPADS 2023: 1676-1683 - [c17]KaKit Chio, Wenhao Zhu, Lihua He, Dian Zhang, Xu Yang, Wuman Luo:
FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs. SMC 2023: 3329-3336 - 2022
- [j4]Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau:
Deep Learning Hybrid Models for COVID-19 Prediction. J. Glob. Inf. Manag. 30(10): 1-23 (2022) - [j3]Si Shi, Rita Tse, Wuman Luo, Stefano D'Addona, Giovanni Pau:
Machine learning-driven credit risk: a systemic review. Neural Comput. Appl. 34(17): 14327-14339 (2022) - [c16]Lihua He, Wuman Luo:
3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction. MDM 2022: 147-152 - [c15]Si Shi, Wuman Luo, Rita Tse, Giovanni Pau:
Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing. TALE 2022: 306-309 - 2021
- [c14]Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau:
Deep Learning for COVID-19 Prediction based on Blood Test. IoTBDS 2021: 103-111
2010 – 2019
- 2018
- [j2]Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding:
Diverse Mobile System for Location-Based Mobile Data. Wirel. Commun. Mob. Comput. 2018: 4217432:1-4217432:17 (2018) - 2016
- [c13]Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni:
Clockwise compression for trajectory data under road network constraints. IEEE BigData 2016: 472-481 - [c12]Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo:
A Comparison of Road-Network-Constrained Trajectory Compression Methods. ICPADS 2016: 256-263 - 2014
- [j1]Yaobin He, Haoyu Tan, Wuman Luo, Shengzhong Feng, Jianping Fan:
MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data. Frontiers Comput. Sci. 8(1): 83-99 (2014) - [c11]Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni:
Inferring Road Type in Crowdsourced Map Services. DASFAA (2) 2014: 392-406 - [c10]Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni:
Exploring the Use of Diverse Replicas for Big Location Tracking Data. ICDCS 2014: 83-92 - [c9]Xibo Zhou, Wuman Luo, Haoyu Tan:
MRTune: A simulator for performance tuning of MapReduce jobs with skewed data. ICPADS 2014: 352-359 - 2013
- [c8]Wuman Luo, Haoyu Tan, Lei Chen, Lionel M. Ni:
Finding time period-based most frequent path in big trajectory data. SIGMOD Conference 2013: 713-724 - 2012
- [c7]Haoyu Tan, Wuman Luo, Lionel M. Ni:
CloST: a hadoop-based storage system for big spatio-temporal data analytics. CIKM 2012: 2139-2143 - [c6]Huajian Mao, Wuman Luo, Haoyu Tan, Lionel M. Ni, Nong Xiao:
Exploration of ground truth from raw GPS data. UrbComp@KDD 2012: 118-125 - [c5]Wuman Luo, Haoyu Tan, Huajian Mao, Lionel M. Ni:
Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce. MDM 2012: 1-10 - [c4]Haoyu Tan, Wuman Luo, Huajian Mao, Lionel M. Ni:
On Packing Very Large R-trees. MDM 2012: 99-104 - 2011
- [c3]Yaobin He, Haoyu Tan, Wuman Luo, Huajian Mao, Di Ma, Shengzhong Feng, Jianping Fan:
MR-DBSCAN: An Efficient Parallel Density-Based Clustering Algorithm Using MapReduce. ICPADS 2011: 473-480 - 2010
- [c2]Zhang Xiong, Wuman Luo, Lei Chen, Lionel M. Ni:
Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis. ICPADS 2010: 251-258
2000 – 2009
- 2008
- [c1]Qiang Ye, Yuxing Huang, Andrew Reddin, Lei Wang, Wuman Luo:
Multi-path GEM for Routing in Wireless Sensor Networks. WASA 2008: 121-133
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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