Dingming Wu

According to our database, Dingming Wu authored at least 48 papers between 2009 and 2024.

Collaborative distances:

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

2024

Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs.

Dingming Wu, Zhaofen Zhang, Christian S. Jensen, Kezhong Lu

IEEE Trans. Knowl. Data Eng., November, 2024

Efficient and Accurate PageRank Approximation on Large Graphs.

Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu

Proc. ACM Manag. Data, September, 2024

A scalable and flexible basket analysis system for big transaction data in Spark.

Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang

Inf. Process. Manag., March, 2024

LION: Fast and High-Resolution Network Kernel Density Visualization.

Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu

Proc. VLDB Endow., February, 2024

CDFRS: A scalable sampling approach for efficient big data analysis.

Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang

Inf. Process. Manag., 2024

Non-MapReduce computing for intelligent big data analysis.

Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang

Eng. Appl. Artif. Intell., 2024

2023

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis.

Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

Big Data Min. Anal., June, 2023

Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs.

Dingming Wu, Erjia Xiao, Yi Zhu, Christian S. Jensen, Kezhong Lu

IEEE Trans. Knowl. Data Eng., March, 2023

A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering.

Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Mining Frequent Geo-Subgraphs in a Knowledge Graph.

Yixin Wu, Jingyan Huang, Dingming Wu, Christian S. Jensen, Kezhong Lu

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Density-Based Top-K Spatial Textual Clusters Retrieval.

Dingming Wu, Ilkcan Keles, Song Wu, Hao Zhou, Simonas Saltenis, Christian S. Jensen, Kezhong Lu

IEEE Trans. Knowl. Data Eng., 2022

2021

An effective content-based event recommendation model.

Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang

Multim. Tools Appl., 2021

A new approximate method for mining frequent itemsets from big data.

Timur Valiullin, Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, Iuliia Egorova

Comput. Sci. Inf. Syst., 2021

AI Creativity and the Human-AI Co-creation Model.

Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, Mohammad Shidujaman

Proceedings of the Human-Computer Interaction. Theory, Methods and Tools, 2021

2020

Top-k relevant semantic place retrieval on spatiotemporal RDF data.

Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis

VLDB J., 2020

Activeness and Loyalty Analysis in Event-Based Social Networks.

Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar

Entropy, 2020

On quantum methods for machine learning problems part II: Quantum classification algorithms.

Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

Big Data Min. Anal., 2020

On quantum methods for machine learning problems part I: Quantum tools.

Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

Big Data Min. Anal., 2020

Semantic Region Retrieval from Spatial RDF Data.

Dingming Wu, Can Hou, Erjia Xiao, Christian S. Jensen

Proceedings of the Database Systems for Advanced Applications, 2020

2019

C3C: A New Static Content-Based Three-Level Web Cache.

Thanh Trinh, Dingming Wu, Joshua Zhexue Huang

IEEE Access, 2019

A New Location-Based Topic Model for Event Attendees Recommendation.

Thanh Trinh, Ngoc-Tuan Nguyen, Dingming Wu, Joshua Zhexue Huang, Tamer Z. Emara

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

A New Approach for Approximately Mining Frequent Itemsets.

Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu

Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs.

Dingming Wu, Yi Zhu, Christian S. Jensen

Proceedings of the Database Systems for Advanced Applications, 2019

Efficiently Mining Maximal Diverse Frequent Itemsets.

Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Density-Based Place Clustering Using Geo-Social Network Data.

Dingming Wu, Jieming Shi, Nikos Mamoulis

IEEE Trans. Knowl. Data Eng., 2018

2017

A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache.

Thanh Trinh, Dingming Wu, Joshua Zhexue Huang

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

2016

Textually Relevant Spatial Skylines.

Jieming Shi, Dingming Wu, Nikos Mamoulis

IEEE Trans. Knowl. Data Eng., 2016

Location Aware Keyword Query Suggestion Based on Document Proximity.

Shuyao Qi, Dingming Wu, Nikos Mamoulis

IEEE Trans. Knowl. Data Eng., 2016

An incremental model on search engine query recommendation.

Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan

Neurocomputing, 2016

Top-k Relevant Semantic Place Retrieval on Spatial RDF Data.

Jieming Shi, Dingming Wu, Nikos Mamoulis

Proceedings of the 2016 International Conference on Management of Data, 2016

A frequency-based gene selection method with random forests for gene data analysis.

Thanh Trinh, Dingming Wu, Salman Salloum, Tung Nguyen, Joshua Zhexue Huang

Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters.

Dingming Wu, Christian S. Jensen

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Authentication of Moving Top-k Spatial Keyword Queries.

Dingming Wu, Byron Choi, Jianliang Xu, Christian S. Jensen

IEEE Trans. Knowl. Data Eng., 2015

Clustering in Geo-Social Networks.

Dingming Wu, Nikos Mamoulis, Jieming Shi

IEEE Data Eng. Bull., 2015

Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe.

Jiafeng Hu, Reynold Cheng, Dingming Wu, Beihong Jin

Proceedings of the Advances in Spatial and Temporal Databases, 2015

Overlapping Community Regularization for Rating Prediction in Social Recommender Systems.

Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014

Spatial-aware interest group queries in location-based social networks.

Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su

Data Knowl. Eng., 2014

Density-based place clustering in geo-social networks.

Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung

Proceedings of the International Conference on Management of Data, 2014

A revisit to social network-based recommender systems.

Hui Li, Dingming Wu, Nikos Mamoulis

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Social-Aware Top-k Spatial Keyword Search.

Dingming Wu, Yafei Li, Byron Choi, Jianliang Xu

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013

Moving spatial keyword queries: Formulation, methods, and analysis.

Dingming Wu, Man Lung Yiu, Christian S. Jensen

ACM Trans. Database Syst., 2013

Spatial Keyword Query Processing: An Experimental Evaluation.

Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu

Proc. VLDB Endow., 2013

2012

A framework for efficient spatial web object retrieval.

Dingming Wu, Gao Cong, Christian S. Jensen

VLDB J., 2012

Joint Top-K Spatial Keyword Query Processing.

Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen

IEEE Trans. Knowl. Data Eng., 2012

SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects.

Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu

Proc. VLDB Endow., 2012

Spatial Keyword Querying.

Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu

Proceedings of the Conceptual Modeling, 2012

2011

Efficient continuously moving top-k spatial keyword query processing.

Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong

Proceedings of the 27th International Conference on Data Engineering, 2011

2009

Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects.

Gao Cong, Christian S. Jensen, Dingming Wu

Proc. VLDB Endow., 2009