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COMP6132 Introduction to Big Data

COMP6135 Big Data Analytics

COMP8122 Selected Topics in Big Data and Smart Society

Dr. Wuman Luo is currently an Associate Professor at the Faculty of Applied Sciences at Macao Polytechnic University (MPU). She obtained her Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology (HKUST) in 2013. Her research interests include Artificial Intelligence and Big Data, Spatial and Temporal Data Mining, and Medical AI. She leads the "Big Data Analytics" research team, focusing on areas such as disease diagnosis and treatment based on multi-modal electronic health records (HER), Personalized Treatment Based on TCM and Acupuncture, Stomatology, Automated Anesthesia, Sentiment Analysis, and Urban Computing.

In recent years, she has published over 50 international journal and conference papers. Her research has received several accolades, including the 2023 Outstanding Paper Award from Frontiers of Computer Science (FCS), the 2023 IEEE SMC Franklin V. Taylor Memorial Award, the Best Student Paper Award at IoTBDS 2021, and the 2018 F5000 Top Academic Paper Award from Chinese Science. Her work has been cited more than 1,400 times on Google Scholar, with her most cited paper receiving 309 citations.

In recognition of her outstanding contributions to the field of databases from 2012 to 2021, she was awarded the 2022 AI2000 Most Influential Scholar Honor in Databases. Additionally, she serves as the Principal Investigator or key participant in several national research projects, including the National Basic Research Program of China (973 Program), the National Natural Science Foundation projects, and research funding from Macao Polytechnic University. (Note: Statistics are accurate as of November 30, 2025.)

  • Current Employer/Organization

    Macao Polytechnic University

  • Current Position

    Associate Professor

    Macao Polytechnic University

  • Subjects Taught

    COMP6132 Introduction to Big Data

    COMP6135 Big Data Analytics

    COMP8122 Selected Topics in Big Data and Smart Society

  • Education

    • 08/2008 – 01/2013: Ph.D in Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST)  
    • 09/1997 – 04/2000: M.E. in Computer Software and Theory, University of Electronic Science and Technology of China (UESTC)    
    • 09/1992 – 07/1996: B.E. in Computer Software, University of Electronic Science and Technology of China (UESTC)                                                                                                                                                               


  • Research Interests

    Artificial Intelligence and Big Data Analytics, Spatio-temporal Data Mining, Medical AI, Urban Computing, Parallel Computing

  • Work Experience

    • 10/2019 – now: Associate Professor, Faculty of Applied Sciences, Macao Polytechnic University   
    • 06/2016 – 05/2017: Post-doctoral Fellow, Dept. of Computer and Information Science, FST, Univesity of Macau
    • 07/2013 – 01/2016: Research Assistant Professor, HKUST Fok Ying Tung Graduate School (HKUST FYTGS)  
    • 08/2008 – 01/2013: Research/Teaching Assistant, Dept. of Computer Science and Engineering, HKUST           
    • 04/2000 – 07/2012: Lecturer, Sch. of Computer Science and Engineering, UESTC                   
    • 09/2004 – 06/2005: Visiting Scholar, Dept. of Computing Science, University of Alberta           
    • 07/1996 – 09/1997: Research Assistant, Computer Engineering Institute, Seismological Bureau of Sichuan Province                                                 

  • Publications

    Patent

    1. 罗吴蔓，谭浩宇，陈雷，倪明选，“基于时段的热点路径的特征识别与快速搜索方法”，专利号：201310248692.7，授权公告日：2015年12月1日。

    Publication

    1. Yuejing Zhai, Yiping Li, Wuman Luo*. Modeling Frequency Correlation to Achieve Better Long-term Series Forecasting. The IEEE International Conference on Big Data (IEEE BigData). Macau SAR, China. 2025. (CCF-C, Acceptance Rate: 18.7%)
    2. Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo*. Robust Prototype-Driven Patient Representation Enhancement for Disease Prediction. The IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM). Wuman China. 2025. (CCF-B, Acceptance Rate: 19.8%)
    3. Jianjing Wei, Wuman Luo*, Bidong Chen. ClinCoCoOp: An Interpretable Prompt Learning Framework with Clinical Concept Guidance for Context Optimization. The 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV). 2025. (CCF-C, Acceptance Rate: 29.58%)
    4. Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo* (2025). Value Decomposition-Based Multi-Agent Learning for Anesthetics Collaborative Control. IEEE Journal of Biomedical and Health Informatics. Accepted (SCIE Q1, IF: 6.8)
    5. Lihua He, Si Shi, Dian Zhang, Wuman Luo* (2025). ST-RLNet: Spatio-Temporal Rep-resentation Learning for Multi-Step Traffic Flow Prediction. Neurocomputing, 131020. (SCIE Q1, IF: 6.5)
    6. Lihua He, Ziyue Yu, Wuman Luo*. PSformer: Periodic-aware Semantic Transformer for Traffic Prediction. The 2025 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC). 2025. (CCF C)
    7. Si Shi, Wuman Luo*, Giovanni Pau. An Attention-Based Balanced Variational Auto-encoder Method for Credit Card Fraud Detection. Applied Soft Computing. 2025. (accepted, SCIE Q1, IF: 7.2)
    8. Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo*. The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data. IEEE Congress on Evolutionary Computation (CEC 2025). 2025. (Core B)
    9. Xionghui Lai, Wuman Luo*. Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation. 2025 International Conference on Intelligent Computing (ICIC). 2025. (CCF-C)
    10. Hongxu Yuan, Yuzheng Yan, Xiaozhu Jing, Wuman Luo*. An Adaptive Multi-Indicator Contrastive Predictive Coding Framework for Patient Representation Learning. 2025 International Joint Conference on Neural Networks (IJCNN). 2025. (CCF C)
    11. Siliang Zhao, Wuman Luo, Qin Shu, Fangwei Xu (2025). Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE. Sensors, 25(3), 943. (SCIE Q2, IF: 3.4)
    12. Yuejing Zhai, Yiping Li, Lihua He, Wuman Luo*. A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security (IoTBDS). 2025. (Core C)
    13. Yuzheng Yan, Ziyue Yu, Wuman Luo*. PatSimBoosting: Enhancing Patient Representations for Disease Prediction Through Similarity Analysis. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security (IoTBDS). (Best Paper Candidate). 2025. (Core C)
    14. Yuzheng Yan, Ziyue Yu, Wuman Luo*. Spectral Attention Feature Selection for Patient Mortality Prediction. In Proceedings of the 17th International Conference on Computer Research and Development (ICCRD). 2025.
    15. Ziyue Yu, Jiayi Wang, Wuman Luo*, Rita Tse & Giovanni Pau (2024). Multi-perspective patient representation learning for disease prediction on electronic health records. Knowledge and Information Systems, 66(12), 7837-7858.
    16. Wenhao Zhu, Jiayue Qiu, Ziyue Yu & Wuman Luo* (2024). A survey on personalized document-level sentiment analysis. Neurocomputing, 609, 128449.
    17. Boliang Zhang, Yu Yao, H. K. Kan, Wuman Luo. (2024). A GAN-based genetic algorithm for solving the 3D bin packing problem. Scientific Reports, 14(1), 7775. (SCIE Q1, IF: 4.6)
    18. Boliang Zhang, Lu Shen, Jiahua Yao, Wuman Luo, Su-Kit Tang (2024). Energy-efficient mobile node localization using CVA technology and SAI algorithm. Frontiers in Energy Research, 12, 1327354. (SCIE Q3, IF: 3.4)
    19. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating. In Proceedings of the 13th International Conference on Software and Computer Applications (ICSCA). 2024.
    20. Huijie Li, Wei Lin, Jian Huo, Wuman Luo*. OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control. In Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS). 2023. (CCF-C, Acceptance rate 19.44%)
    21. Ziyue Yu, Jiayi Wang, Wuman Luo*, Rita Tse, and Giovanni Pau. MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. In Proceedings of the 23rd IEEE International Conference on Data Mining (IEEE ICDM). 2023. (CCF-B, Acceptance rate 9.37%)
    22. Chak Fong Chong, Yapeng Wang, Benjamin Ng, Wuman Luo, Xu Yang. (2023). Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification. Computers in Biology and Medicine, 164, 107277. (SCIE Q1, IF: 7.7)
    23. Chak Fong Chong, Xinyi Fang, Xu Yang, Wuman Luo, Yapeng Wang. Robustness Comparison of Deep Neural Networks under Common Image Perturbations in Medical Image Interpretation. The International Conference on Digital Image Computing: Techniques and Applications (DICTA). 2023.
    24. 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. The 2023 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC). 2023. (CCF-C, Franklin V. Taylor Memorial Award – Finalist for the best paper)
    25. Jiayue Qiu, Ziyue Yu, Wuman Luo*. UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining. 2023 International Conference on Intelligent Computing (ICIC). 2023. (CCF-C)
    26. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. A Hybrid Machine Learning Method for COVID-19 Forecasting. In Proceedings of the 3rd International Conference on Future of Preventive Medicine and Public Health. 2023.
    27. Hui Yu, Zhongzhou Zhang, Wenjun Xia, Yan Liu, Lunxin Liu, Wuman Luo, Jiliu Zhou and Yi Zhang. (2023). DeSeg: auto detector-based segmentation for brain metastases. Physics in Medicine & Biology. 68(2), 025002. (SCIE Q2, IF: 3.5)
    28. Ziyue Yu, Wuman Luo*, Rita Tse, Giovanni Pau. (2023). DMNet: A Personalized Risk Assessment Framework for Elderly People with Type 2 Diabetes. IEEE Journal of Biomedical and Health Informatics, 27(3), 1558-1568. (SCIE Q1, IF: 7.7)
    29. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing. IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022. 2022.
    30. Si Shi, Rita Tse, Wuman Luo, Stefano D'Addona, Giovanni Pau. (2022) Machine Learning-Driven Credit Risk: A Systemic Review. Neural Computing and Applications, 34(17), 14327-14339. (SCIE Q2, IF: 6.0)
    31. Lihua He, Wuman Luo*. 3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction. In Proceedings of the 23th IEEE International Conference on Mobile Data Management (IEEE MDM). June, 2022. (CCF-C, Acceptance rate 26%)
    32. Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau. (2022). Deep Learning Hybrid Models for COVID-19 Prediction. Journal of Global Information Management. 30(10). 1-20. 2022. (SSCI Q2, IF: 4.7)
    33. Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau. Deep Learning for COVID-19 Prediction based on Blood Test (Best Student Paper Award). In Proceedings of the 6th International Conference on Internet of Things (IoTBDS), Big Data and Security. 2021.
    34. Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding. Diverse Mobile System for Location-Based Mobile Data. Wireless Communications and Mobile Computing. 2018(2018), 1-17. (SCIE Q3, IF: 2.14)
    35. Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni. Clockwise Compression for Trajectory Data Under Road Network Constraints. IEEE International Conference on Big Data (IEEE BigData), Washington D.C., USA, December, 2016. (CCF-C)
    36. Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo. A Comparison of Road-Network- Constrained Trajectory Compression Methods. In Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Wuhan, China, December, 2016. (CCF-C)
    37. Xibo Zhou, Wuman Luo*, Haoyu Tan. MRTune: A Simulator for Performance Tuning of MapReduce Jobs with Skewed Data. In Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Hsinchu, Taiwan, December, 2014. (CCF-C)
    38. Yaobin He, Haoyu Tan, Wuman Luo, Shengzhong Feng, Jianping Fan. MR-DBSCAN: a Scalable MapReduce-Based DBSCAN Algorithm for Heavily Skewed Data. Frontiers of Computer Science. 8(1): 83-99 (2014). (SCIE Q1, IF: 4.2, 2023 FCS Outstanding Paper Award)
    39. Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni. Inferring Road Type in Crowdsourced Map Services. In Proceedings of the 19th International Conference on Database Systems for Advanced Applications (DASFAA), Bali, Indonesia, April, 2014. (CCF-B)
    40. Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni. Exploring the Use of Diverse Replicas for Big Location Tracking Data. In Proceedings of the 34th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), Madrid, Spain, June, 2014. (CCF-B)
    41. Wuman Luo, Haoyu Tan, Lei Chen, Lionel M. Ni. Finding Time Period-based Most Frequent Path in Big Trajectory Data. In Proceedings of the ACM Conference on the Management of Data (ACM SIGMOD), New York, USA, June, 2013. (CCF-A)
    42. Lionel M. Ni. Qian Zhang, Haoyu Tan, Wuman Luo, Xiaoxi TANG. Smart healthcare: from IoT to cloud computing. Scientia Sinica Informationis. 43 (4), 515-528, 2013. (Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018).
    43. Haoyu Tan, Wuman Luo, Lionel M. Ni. CloST: A Hadoop-based Storage System for Big Spatio-Temporal Data Analytics. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (ACM CIKM), 2012. (CCF-B)
    44. Huajian Mao, Wuman Luo, Haoyu Tan, Lionel M. Ni, Nong Xiao. Exploration of Ground Truth from Raw GPS Data. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing (UrbComp). 2012.
    45. Wuman Luo, Haoyu Tan, Huajian Mao, Lionel M. Ni. Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce. In Proceedings of the 13th IEEE International Conference on Mobile Data Management (IEEE MDM), Bengaluru, India, July, 2012. (CCF-C)
    46. Haoyu Tan, Wuman Luo, Huajian Mao, Lionel M. Ni. On Packing Very Large R-trees. In Proceedings of the 13th IEEE International Conference on Mobile Data Management (IEEE MDM), Bengaluru, India, July, 2012. (CCF-C)
    47. 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. In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Tainan, Taiwan, December, 2011. (CCF-C)
    48. Zhang Xiong, Wuman Luo*, Lei Chen, Lionel M. Ni. Data Vitalization: a New Paradigm for Large-Scale Dataset Analysis. In Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Shanghai, China, December, 2010. (CCF-C)
    49. Qiang Ye, Yuxing Huang, Andrew Reddin, Lei Wang, Wuman Luo. Multi-path GEM for Routing in Wireless Sensor Networks. In Proceedings of the 3rd International Conference on Wireless Algorithms, Systems, and Applications (WASA), Dallas, TX, USA, October, 2008. (CCF-C)
    50. Lionel M. Ni. Wuman Luo. The Age of Reform in the Era of Data Explosion: Challenges and Opportunities. Communications of CCF. 7(7): 12-20 (2011).
    51. Wuman Luo, Chin Shu. Evolutional Hierarchical Diagram and 4+1 Abstract Modelling Structure of Highway Tolling System. Computer Engineering. 30(19): 161-163 (2004).
    52. Zhengwu Xu, Wuman Luo, Jie Gu. Localization System Based on GSM Network. Journal of University of Electronic Science and Technology of China. 32(4): 367-370 (2003).
    53. Yue Wu, Wuman Luo*. UML Modeling Mechanism Based on Layered Structure of Abstraction. Journal of University of Electronic Science and Technology of China. 30(2): 148-152 (2001).

  • Description

    Dr. Wuman Luo is currently the leader of the Big Data Analytics Research Group at the Faculty of Applied Sciences (FCA) at MPU. Her research team is dedicated to leveraging advanced data analytics techniques to address critical challenges across various domains. Her research focuses on several key areas:

    1. Patient Representation Learning for Disease Diagnosis: We develop innovative methods for patient representation learning based on Electronic Health Records (EHR) to enhance disease diagnosis and improve patient outcomes. 

    2. Personalized Treatment Based on Traditional Chinese Medicine (TCM) and Acupuncture: We explore TCM by integrating advanced deep learning and data mining methods, offering personalized herb recommendations and optimizing acupuncture practices through artificial intelligence to enhance treatment effectiveness.

    3. Stomatology: We focus on dental and oral health, utilizing artificial intelligence and big data technologies to conduct research in areas such as orthodontics and dental restoration, as well as early detection and treatment of oral cancer.

    4. Automated Anesthesia: We also work on automated anesthesia processes using deep learning to ensure safer and more efficient surgical procedures.

    5. Urban Planning and Traffic Prediction: We apply big data techniques to analyze urban dynamics, facilitating smarter city planning and accurate traffic flow predictions.

    6. Financial AI: We explore the intersection of finance and artificial intelligence, developing models for risk assessment, fraud detection, and investment strategies.

  • Journal papers

    1. Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo* (2025). Value Decomposition-Based Multi-Agent Learning for Anesthetics Collaborative Control. IEEE Journal of Biomedical and Health Informatics. Accepted (SCIE Q1, IF: 6.8)
    2.  Lihua He, Si Shi, Dian Zhang, Wuman Luo* (2025). ST-RLNet: Spatio-Temporal Rep-resentation Learning for Multi-Step Traffic Flow Prediction. Neurocomputing, 131020. (SCIE Q1, IF: 6.5)
    3.  Si Shi, Wuman Luo*, Giovanni Pau. An Attention-Based Balanced Variational Auto-encoder Method for Credit Card Fraud Detection. Applied Soft Computing. 2025. (accepted, SCIE Q1, IF: 7.2
    4.  Siliang Zhao, Wuman Luo, Qin Shu, Fangwei Xu (2025). Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE. Sensors, 25(3), 943. (SCIE Q2, IF: 3.4)
    5.  Ziyue Yu, Jiayi Wang, Wuman Luo*, Rita Tse & Giovanni Pau (2024). (2024). Multi-perspective patient representation learning for disease prediction on electronic health records. Knowledge and Information Systems, 66(12), 7837-7858.
    6. Wenhao Zhu, Jiayue Qiu, Ziyue Yu & Wuman Luo* (2024). A survey on personalized document-level sentiment analysis. Neurocomputing, 609, 128449.
    7. Boliang Zhang, Yu Yao, H. K. Kan, Wuman Luo. (2024). A GAN-based genetic algorithm for solving the 3D bin packing problem. Scientific Reports, 14(1), 7775. (SCIE Q1, IF: 4.6)
    8. Boliang Zhang, Lu Shen, Jiahua Yao, Wuman Luo, Su-Kit Tang (2024). Energy-efficient mobile node localization using CVA technology and SAI algorithm. Frontiers in Energy Research, 12, 1327354. (SCIE Q3, IF: 3.4)
    9. Chak Fong Chong, Yapeng Wang, Benjamin Ng, Wuman Luo, Xu Yang. (2023). Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification. Computers in Biology and Medicine, 164, 107277. (SCIE Q1, IF: 7.7)
    10. Hui Yu, Zhongzhou Zhang, Wenjun Xia, Yan Liu, Lunxin Liu, Wuman Luo, Jiliu Zhou and Yi Zhang. (2023). DeSeg: auto detector-based segmentation for brain metastases. Physics in Medicine & Biology. 68(2), 025002. (SCIE Q2, IF: 3.5)
    11. Ziyue Yu, Wuman Luo*, Rita Tse, Giovanni Pau. (2023). DMNet: A Personalized Risk Assessment Framework for Elderly People with Type 2 Diabetes. IEEE Journal of Biomedical and Health Informatics, 27(3), 1558-1568. (SCIE Q1, IF: 7.7)
    12. Si Shi, Rita Tse, Wuman Luo, Stefano D'Addona, Giovanni Pau. (2022) Machine Learning-Driven Credit Risk: A Systemic Review. Neural Computing and Applications, 34(17), 14327-14339. (SCIE Q2, IF: 6.0)
    13. Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau. (2022). Deep Learning Hybrid Models for COVID-19 Prediction. Journal of Global Information Management. 30(10). 1-20. 2022. (SSCI Q2, IF: 4.7)
    14. Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding. Diverse Mobile System for Location-Based Mobile Data. Wireless Communications and Mobile Computing. 2018(2018), 1-17. (SCIE Q3, IF: 2.14)
    15. Yaobin He, Haoyu Tan, Wuman Luo, Shengzhong Feng, Jianping Fan. MR-DBSCAN: a Scalable MapReduce-Based DBSCAN Algorithm for Heavily Skewed Data. Frontiers of Computer Science. 8(1): 83-99 (2014). (SCIE Q1, IF: 4.2, 2023 FCS Outstanding Paper Award)
    16. Lionel M. Ni. Qian Zhang, Haoyu Tan, Wuman Luo, Xiaoxi TANG. Smart healthcare: from IoT to cloud computing. Scientia Sinica Informationis. 43 (4), 515-528, 2013. (Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018).
    17. Lionel M. Ni. Wuman Luo. The Age of Reform in the Era of Data Explosion: Challenges and Opportunities. Communications of CCF. 7(7): 12-20 (2011).
    18. Wuman Luo, Chin Shu. Evolutional Hierarchical Diagram and 4+1 Abstract Modelling Structure of Highway Tolling System. Computer Engineering. 30(19): 161-163 (2004).
    19. Zhengwu Xu, Wuman Luo, Jie Gu. Localization System Based on GSM Network. Journal of University of Electronic Science and Technology of China. 32(4): 367-370 (2003).
    20. Yue Wu, Wuman Luo*. UML Modeling Mechanism Based on Layered Structure of Ab-strac-tion. Journal of University of Electronic Science and Technology of China. 30(2): 148-152 (2001).
    21. Yue Wu, Wuman Luo, Shui Yu. “Data Structure” Highlights Show, Theory and Practice of Electronic Higher Education, University of Electronic Science and Technology of China Press. 221-224 (2000).

  • Conference Papers

    1. Yuejing Zhai, Yiping Li, Wuman Luo*. Modeling Frequency Correlation to Achieve Better Long-term Series Forecasting. The IEEE International Conference on Big Data (IEEE BigData). Macau SAR, China. 2025. (CCF-C, Acceptance Rate: 18.7%)
    2. Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo*. Robust Prototype-Driven Patient Representation Enhancement for Disease Prediction. The IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM). Wuman China. 2025. (CCF-B, Acceptance Rate: 19.8%)
    3. Jianjing Wei, Wuman Luo*, Bidong Chen. ClinCoCoOp: An Interpretable Prompt Learning Framework with Clinical Concept Guidance for Context Optimization. The 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV). 2025. (CCF-C, Acceptance Rate: 29.58%)
    4. Lihua He, Ziyue Yu, Wuman Luo*. PSformer: Periodic-aware Semantic Transformer for Traffic Prediction. The 2025 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC). 2025. (CCF-C)
    5. Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo*. The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data. IEEE Congress on Evolutionary Computation (CEC 2025). 2025. (Core B)
    6. Xionghui Lai, Wuman Luo*. Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation. 2025 International Conference on Intelligent Computing (ICIC). 2025. (CCF-C)
    7. Hongxu Yuan, Yuzheng Yan, Xiaozhu Jing, Wuman Luo*. An Adaptive Multi-Indicator Contrastive Predictive Coding Framework for Patient Representation Learning. 2025 In-ternational Joint Conference on Neural Networks (IJCNN). 2025. (CCF-C)
    8. Yuejing Zhai, Yiping Li, Lihua He, Wuman Luo*. A Highly Nonlinear Survival Network for Hospital Readmission Prediction of Cardiac Patients. In Proceedings of the 10th In-ternational Conference on Internet of Things, Big Data and Security (IoTBDS). 2025. (Core C)
    9. Yuzheng Yan, Ziyue Yu, Wuman Luo*. PatSimBoosting: Enhancing Patient Represen-tations for Disease Prediction Through Similarity Analysis. In Proceedings of the 6th In-ternational Conference on Internet of Things, Big Data and Security (IoTBDS). (Best Paper Candidate). 2025. (Core C)
    10. Yuzheng Yan, Ziyue Yu, Wuman Luo*. Spectral Attention Feature Selection for Patient Mortality Prediction. In Proceedings of the 17th International Conference on Computer Research and Development (ICCRD). 2025.
    11. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. SparseGraphSage: A Graph Neural Network Approach for Corporate Credit Rating. In Proceedings of the 13th International Conference on Software and Computer Applications (ICSCA). 2024.
    12. Huijie Li, Wei Lin, Jian Huo, Wuman Luo*. OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control. In Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS). 2023. (CCF-C, Acceptance rate 19.44%)
    13. Ziyue Yu, Jiayi Wang, Wuman Luo*, Rita Tse, and Giovanni Pau. MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. In Proceedings of the 23rd IEEE International Conference on Data Mining (IEEE ICDM). 2023. (Acceptance rate 9.37%)
    14. Chak Fong Chong, Xinyi Fang, Xu Yang, Wuman Luo, Yapeng Wang. Robustness Comparison of Deep Neural Networks under Common Image Perturbations in Medical Image Interpretation. The International Conference on Digital Image Computing: Techniques and Applications (DICTA). 2023.
    15. 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. The 2023 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC). 2023. (CCF-C, Franklin V. Taylor Memorial Award – Finalist for the best paper)
    16. Jiayue Qiu, Ziyue Yu, Wuman Luo*. UCM: Personalized Document-Level Sentiment Analysis Based on User Correlation Mining. 2023 International Conference on Intelligent Computing (ICIC). 2023. (CCF C)
    17. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. A Hybrid Machine Learning Method for COVID-19 Forecasting. In Proceedings of the 3rd International Conference on Future of Preventive Medicine and Public Health. 2023.
    18. Si Shi, Wuman Luo, Rita Tse, Giovanni Pau. Attention-LGBM-BiLSTM: An Attention-Based Ensemble Method for Knowledge Tracing. IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022. 2022.
    19. Lihua He, Wuman Luo*. 3D-ConvLSTMNet: A Deep Spatio-Temporal Model for Traffic Flow Prediction. In Proceedings of the 23th IEEE International Conference on Mobile Data Management (IEEE MDM). June, 2022. (CCF-C, Acceptance rate 26%)
    20. Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau. Deep Learning for COVID-19 Prediction based on Blood Test (Best Student Paper Award). In Proceedings of the 6th International Conference on Internet of Things (IoTBDS), Big Data and Security. 2021.
    21. Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni. Clockwise Compression for Trajectory Data Under Road Network Constraints. IEEE International Conference on Big Data (IEEE BigData), Washington D.C., USA, December, 2016. (CCF-C)
    22. Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo. A Comparison of Road-Network- Constrained Trajectory Compression Methods. In Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Wuhan, China, December, 2016. (CCF-C)
    23. Xibo Zhou, Wuman Luo*, Haoyu Tan. MRTune: A Simulator for Performance Tuning of MapReduce Jobs with Skewed Data. In Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Hsinchu, Taiwan, December, 2014. (CCF-C)
    24. Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni. Inferring Road Type in Crowdsourced Map Services. In Proceedings of the 19th International Conference on Database Systems for Advanced Applications (DASFAA), Bali, Indonesia, April, 2014. (CCF-B)
    25. Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni. Exploring the Use of Diverse Replicas for Big Location Tracking Data. In Proceedings of the 34th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), Madrid, Spain, June, 2014. (CCF-B)
    26. Wuman Luo, Haoyu Tan, Lei Chen, Lionel M. Ni. Finding Time Period-based Most Frequent Path in Big Trajectory Data. In Proceedings of the ACM Conference on the Management of Data (ACM SIGMOD), New York, USA, June, 2013. (CCF-A)
    27. Haoyu Tan, Wuman Luo, Lionel M. Ni. CloST: A Hadoop-based Storage System for Big Spatio-Temporal Data Analytics. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (ACM CIKM), 2012. (CCF-B)
    28. Huajian Mao, Wuman Luo, Haoyu Tan, Lionel M. Ni, Nong Xiao. Exploration of Ground Truth from Raw GPS Data. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing (UrbComp). 2012.
    29. Wuman Luo, Haoyu Tan, Huajian Mao, Lionel M. Ni. Efficient Similarity Joins on Massive High-Dimensional Datasets Using MapReduce. In Proceedings of the 13th IEEE International Conference on Mobile Data Management (IEEE MDM), Bengaluru, India, July, 2012. (CCF-C)
    30. Haoyu Tan, Wuman Luo, Huajian Mao, Lionel M. Ni. On Packing Very Large R-trees. In Proceedings of the 13th IEEE International Conference on Mobile Data Management (IEEE MDM), Bengaluru, India, July, 2012. (CCF-C)
    31. 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. In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Tainan, Taiwan, December, 2011. (CCF-C)
    32. Zhang Xiong, Wuman Luo*, Lei Chen, Lionel M. Ni. Data Vitalization: a New Paradigm for Large-Scale Dataset Analysis. In Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Shanghai, China, December, 2010. (CCF-C)
    33. Qiang Ye, Yuxing Huang, Andrew Reddin, Lei Wang, Wuman Luo. Multi-path GEM for Routing in Wireless Sensor Networks. In Proceedings of the 3rd International Conference on Wireless Algorithms, Systems, and Applications (WASA), Dallas, TX, USA, October, 2008. (CCF-C)

  • Professional Membership:

    IEEE member

    IET member

  • 2022 AI 2000 Most Influential Scholar Honorable Mention in Database  04/2022
  • Best Paper Candidate in IoTBDS 2025                                    
  • 2023 FCS Outstanding Paper Award                                        
  • Franklin V. Taylor Memorial Award – Finalist for the best paper in IEEE SMC 2023 (out of 815 accepted papers)                                             
  • Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018     
  • Best Student Paper in IoTBDS 2020