Dingming Wu

58 papers A* 4A 5B 1Journal 32Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
A Fast Line Density Visualization Plugin for Geographic Information Systems.
SIGMOD Conference Companion
Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U, Wei Tu, Ruisheng Wang
2025 — conf
A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization.
KDD (2)
Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang
2025 J jnl
GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs.
Proc. VLDB Endow.
Siyue Wu, Dingming Wu, Sinhong Cheuk, Tsz Nam Chan, Kezhong Lu
2025 A* conf
Large-Scale Spatiotemporal Kernel Density Visualization.
ICDE
Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen
2025 — conf
Spatially Compact Dense Block Mining in Spatial Tensors.
KDD (1)
Weike Tang, Dingming Wu, Tsz Nam Chan, Kezhong Lu
2024 J jnl
A scalable and flexible basket analysis system for big transaction data in Spark.
Inf. Process. Manag.
Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
2024 J jnl
CDFRS: A scalable sampling approach for efficient big data analysis.
Inf. Process. Manag.
Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang
2024 J jnl
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Zhaofen Zhang, Christian S. Jensen, Kezhong Lu
2024 J jnl
Efficient and Accurate PageRank Approximation on Large Graphs.
Proc. ACM Manag. Data
Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu
2024 J jnl
LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U
2024 J jnl
LION: Fast and High-Resolution Network Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu
2024 J jnl
Non-MapReduce computing for intelligent big data analysis.
Eng. Appl. Artif. Intell.
Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
2023 A conf
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering.
CIKM
Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu
2023 J jnl
Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Erjia Xiao, Yi Zhu, Christian S. Jensen, Kezhong Lu
2023 — conf
Mining Frequent Geo-Subgraphs in a Knowledge Graph.
APWeb-WAIM (1)
Yixin Wu, Jingyan Huang, Dingming Wu, Christian S. Jensen, Kezhong Lu
2023 J jnl
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis.
Big Data Min. Anal.
Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang
2022 J jnl
Density-Based Top-K Spatial Textual Clusters Retrieval.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Ilkcan Keles, Song Wu, Hao Zhou, Simonas Saltenis, Christian S. Jensen, Kezhong Lu
2021 J jnl
A new approximate method for mining frequent itemsets from big data.
Comput. Sci. Inf. Syst.
Timur Valiullin, Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, Iuliia Egorova
2021 — conf
AI Creativity and the Human-AI Co-creation Model.
HCI (1)
Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, Mohammad Shidujaman
2021 J jnl
An effective content-based event recommendation model.
Multim. Tools Appl.
Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang
2020 J jnl
Activeness and Loyalty Analysis in Event-Based Social Networks.
Entropy
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar
2020 J jnl
On quantum methods for machine learning problems part I: Quantum tools.
Big Data Min. Anal.
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
2020 J jnl
On quantum methods for machine learning problems part II: Quantum classification algorithms.
Big Data Min. Anal.
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
2020 — conf
Semantic Region Retrieval from Spatial RDF Data.
DASFAA (2)
Dingming Wu, Can Hou, Erjia Xiao, Christian S. Jensen
2020 J jnl
Top-k relevant semantic place retrieval on spatiotemporal RDF data.
VLDB J.
Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis
2019 — conf
A New Approach for Approximately Mining Frequent Itemsets.
DAMDID/RCDL
Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu
2019 — conf
A New Location-Based Topic Model for Event Attendees Recommendation.
RIVF
Thanh Trinh, Ngoc-Tuan Nguyen, Dingming Wu, Joshua Zhexue Huang, Tamer Z. Emara
2019 J jnl
C3C: A New Static Content-Based Three-Level Web Cache.
IEEE Access
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
2019 — conf
Efficiently Mining Maximal Diverse Frequent Itemsets.
DASFAA (2)
Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang
2019 — conf
In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs.
DASFAA (2)
Dingming Wu, Yi Zhu, Christian S. Jensen
2018 J jnl
Density-Based Place Clustering Using Geo-Social Network Data.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Jieming Shi, Nikos Mamoulis
2017 — conf
A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache.
WISE (2)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
2016 A conf
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters.
CIKM
Dingming Wu, Christian S. Jensen
2016 J jnl
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters.
CoRR
Dingming Wu, Christian S. Jensen
2016 — conf
A frequency-based gene selection method with random forests for gene data analysis.
RIVF
Thanh Trinh, Dingming Wu, Salman Salloum, Tung Nguyen, Joshua Zhexue Huang
2016 J jnl
An incremental model on search engine query recommendation.
Neurocomputing
Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan
2016 J jnl
Location Aware Keyword Query Suggestion Based on Document Proximity.
IEEE Trans. Knowl. Data Eng.
Shuyao Qi, Dingming Wu, Nikos Mamoulis
2016 A* conf
Location aware keyword query suggestion based on document proximity.
ICDE
Shuyao Qi, Dingming Wu, Nikos Mamoulis
2016 — ed.
Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, GeoRich@SIGMOD 2016, San Francisco, California, USA, June 26 - July 1, 2016
GeoRich@SIGMOD
Andreas Züfle, Benjamin Adams, Dingming Wu
2016 J jnl
Textually Relevant Spatial Skylines.
IEEE Trans. Knowl. Data Eng.
Jieming Shi, Dingming Wu, Nikos Mamoulis
2016 — conf
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data.
SIGMOD Conference
Jieming Shi, Dingming Wu, Nikos Mamoulis
2015 J jnl
Authentication of Moving Top-k Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Byron Choi, Jianliang Xu, Christian S. Jensen
2015 J jnl
Clustering in Geo-Social Networks.
IEEE Data Eng. Bull.
Dingming Wu, Nikos Mamoulis, Jieming Shi
2015 B conf
Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe.
SSTD
Jiafeng Hu, Reynold Cheng, Dingming Wu, Beihong Jin
2015 A conf
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems.
RecSys
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis
2014 A* conf
A revisit to social network-based recommender systems.
SIGIR
Hui Li, Dingming Wu, Nikos Mamoulis
2014 — conf
Density-based place clustering in geo-social networks.
SIGMOD Conference
Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung
2014 — conf
Social-Aware Top-k Spatial Keyword Search.
MDM (1)
Dingming Wu, Yafei Li, Byron Choi, Jianliang Xu
2014 J jnl
Spatial-aware interest group queries in location-based social networks.
Data Knowl. Eng.
Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su
2013 J jnl
Moving spatial keyword queries: Formulation, methods, and analysis.
ACM Trans. Database Syst.
Dingming Wu, Man Lung Yiu, Christian S. Jensen
2013 J jnl
Spatial Keyword Query Processing: An Experimental Evaluation.
Proc. VLDB Endow.
Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu
2012 J jnl
A framework for efficient spatial web object retrieval.
VLDB J.
Dingming Wu, Gao Cong, Christian S. Jensen
2012 J jnl
Joint Top-K Spatial Keyword Query Processing.
IEEE Trans. Knowl. Data Eng.
Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen
2012 J jnl
SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects.
Proc. VLDB Endow.
Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu
2012 A conf
Spatial Keyword Querying.
ER
Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu
2012 A conf
Spatial-aware interest group queries in location-based social networks.
CIKM
Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su
2011 A* conf
Efficient continuously moving top-k spatial keyword query processing.
ICDE
Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong
2009 J jnl
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects.
Proc. VLDB Endow.
Gao Cong, Christian S. Jensen, Dingming Wu