Dingming Wu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 32

Top Topics

Top Venues

IEEE Trans. Knowl. Data Eng.

Big Data Min. Anal.

Publications

Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
A scalable and flexible basket analysis system for big transaction data in Spark. Inf. Process. Manag. 61 (2) (2024)
Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu
LION: Fast and High-Resolution Network Kernel Density Visualization. Proc. VLDB Endow. 17 (6) (2024)
Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
Non-MapReduce computing for intelligent big data analysis. Eng. Appl. Artif. Intell. 129 (2024)
Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang
CDFRS: A scalable sampling approach for efficient big data analysis. Inf. Process. Manag. 61 (4) (2024)
Yixin Wu, Jingyan Huang, Dingming Wu, Christian S. Jensen, Kezhong Lu
Mining Frequent Geo-Subgraphs in a Knowledge Graph. APWeb-WAIM (1) (2023)
Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. CIKM (2023)
Dingming Wu, Erjia Xiao, Yi Zhu, Christian S. Jensen, Kezhong Lu
Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. Big Data Min. Anal. 6 (2) (2023)
Dingming Wu, Ilkcan Keles, Song Wu, Hao Zhou, Simonas Saltenis, Christian S. Jensen, Kezhong Lu
Density-Based Top-K Spatial Textual Clusters Retrieval. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang
An effective content-based event recommendation model. Multim. Tools Appl. 80 (11) (2021)
Timur Valiullin, Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, Iuliia Egorova
A new approximate method for mining frequent itemsets from big data. Comput. Sci. Inf. Syst. 18 (3) (2021)
Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, Mohammad Shidujaman
AI Creativity and the Human-AI Co-creation Model. HCI (1) (2021)
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
On quantum methods for machine learning problems part II: Quantum classification algorithms. Big Data Min. Anal. 3 (1) (2020)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar
Activeness and Loyalty Analysis in Event-Based Social Networks. Entropy 22 (1) (2020)
Dingming Wu, Can Hou, Erjia Xiao, Christian S. Jensen
Semantic Region Retrieval from Spatial RDF Data. DASFAA (2) (2020)
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
On quantum methods for machine learning problems part I: Quantum tools. Big Data Min. Anal. 3 (1) (2020)
Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis
Top-k relevant semantic place retrieval on spatiotemporal RDF data. VLDB J. 29 (4) (2020)
Thanh Trinh, Ngoc-Tuan Nguyen, Dingming Wu, Joshua Zhexue Huang, Tamer Z. Emara
A New Location-Based Topic Model for Event Attendees Recommendation. RIVF (2019)
Dingming Wu, Yi Zhu, Christian S. Jensen
In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. DASFAA (2) (2019)
Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang
Efficiently Mining Maximal Diverse Frequent Itemsets. DASFAA (2) (2019)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
C3C: A New Static Content-Based Three-Level Web Cache. IEEE Access 7 (2019)
Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu
A New Approach for Approximately Mining Frequent Itemsets. DAMDID/RCDL (2019)
Dingming Wu, Jieming Shi, Nikos Mamoulis
Density-Based Place Clustering Using Geo-Social Network Data. IEEE Trans. Knowl. Data Eng. 30 (5) (2018)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. WISE (2) (2017)
Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan
An incremental model on search engine query recommendation. Neurocomputing 218 (2016)
Shuyao Qi, Dingming Wu, Nikos Mamoulis
Location Aware Keyword Query Suggestion Based on Document Proximity. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Shuyao Qi, Dingming Wu, Nikos Mamoulis
Location aware keyword query suggestion based on document proximity. ICDE (2016)
Jieming Shi, Dingming Wu, Nikos Mamoulis
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. SIGMOD Conference (2016)
Dingming Wu, Christian S. Jensen
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. CoRR (2016)
Thanh Trinh, Dingming Wu, Salman Salloum, Tung Nguyen, Joshua Zhexue Huang
A frequency-based gene selection method with random forests for gene data analysis. RIVF (2016)
Jieming Shi, Dingming Wu, Nikos Mamoulis
Textually Relevant Spatial Skylines. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Dingming Wu, Christian S. Jensen
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. CIKM (2016)
Dingming Wu, Byron Choi, Jianliang Xu, Christian S. Jensen
Authentication of Moving Top-k Spatial Keyword Queries. IEEE Trans. Knowl. Data Eng. 27 (4) (2015)
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. RecSys (2015)
Jiafeng Hu, Reynold Cheng, Dingming Wu, Beihong Jin
Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe. SSTD (2015)
Dingming Wu, Nikos Mamoulis, Jieming Shi
Clustering in Geo-Social Networks. IEEE Data Eng. Bull. 38 (2) (2015)
Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su
Spatial-aware interest group queries in location-based social networks. Data Knowl. Eng. 92 (2014)
Dingming Wu, Yafei Li, Byron Choi, Jianliang Xu
Social-Aware Top-k Spatial Keyword Search. MDM (1) (2014)
Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung
Density-based place clustering in geo-social networks. SIGMOD Conference (2014)
Hui Li, Dingming Wu, Nikos Mamoulis
A revisit to social network-based recommender systems. SIGIR (2014)
Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu
Spatial Keyword Query Processing: An Experimental Evaluation. Proc. VLDB Endow. 6 (3) (2013)
Dingming Wu, Man Lung Yiu, Christian S. Jensen
Moving spatial keyword queries: Formulation, methods, and analysis. ACM Trans. Database Syst. 38 (1) (2013)
Dingming Wu, Gao Cong, Christian S. Jensen
A framework for efficient spatial web object retrieval. VLDB J. 21 (6) (2012)
Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen
Joint Top-K Spatial Keyword Query Processing. IEEE Trans. Knowl. Data Eng. 24 (10) (2012)
Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su
Spatial-aware interest group queries in location-based social networks. CIKM (2012)
Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu
SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects. Proc. VLDB Endow. 5 (12) (2012)
Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu
Spatial Keyword Querying. ER (2012)
Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong
Efficient continuously moving top-k spatial keyword query processing. ICDE (2011)
Gao Cong, Christian S. Jensen, Dingming Wu
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects. Proc. VLDB Endow. 2 (1) (2009)