Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects. - Gao Cong; Christian S. Jensen; Dingming Wu 001 (Proc. VLDB Endow., 2009)

Efficient continuously moving top-k spatial keyword query processing. - Dingming Wu 001; Man Lung Yiu; Christian S. Jensen; Gao Cong (ICDE, 2011)

Spatial Keyword Querying. - Xin Cao 001; Lisi Chen 001; Gao Cong; Christian S. Jensen; Qiang Qu; Anders Skovsgaard; Dingming Wu 001; Man Lung Yiu (ER, 2012)

SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects. - Xin Cao 001; Gao Cong; Christian S. Jensen; Jun Jie Ng; Beng Chin Ooi; Nhan-Tue Phan; Dingming Wu 001 (Proc. VLDB Endow., 2012)

Joint Top-K Spatial Keyword Query Processing. - Dingming Wu 001; Man Lung Yiu; Gao Cong; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2012)

A framework for efficient spatial web object retrieval. - Dingming Wu 001; Gao Cong; Christian S. Jensen (VLDB J., 2012)

Spatial Keyword Query Processing: An Experimental Evaluation. - Lisi Chen 001; Gao Cong; Christian S. Jensen; Dingming Wu 001 (Proc. VLDB Endow., 2013)

Moving spatial keyword queries: Formulation, methods, and analysis. - Dingming Wu 001; Man Lung Yiu; Christian S. Jensen (ACM Trans. Database Syst., 2013)

Social-Aware Top-k Spatial Keyword Search. - Dingming Wu 001; Yafei Li; Byron Choi; Jianliang Xu (MDM (1), 2014)

A revisit to social network-based recommender systems. - Hui Li 057; Dingming Wu 001; Nikos Mamoulis (SIGIR, 2014)

Density-based place clustering in geo-social networks. - Jieming Shi 001; Nikos Mamoulis; Dingming Wu 001; David W. Cheung (SIGMOD Conference, 2014)

Spatial-aware interest group queries in location-based social networks. - Yafei Li; Dingming Wu 001; Jianliang Xu; Byron Choi; Weifeng Su (Data Knowl. Eng., 2014)

Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. - Hui Li 057; Dingming Wu 001; Wenbin Tang; Nikos Mamoulis (RecSys, 2015)

Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe. - Jiafeng Hu; Reynold Cheng; Dingming Wu 001; Beihong Jin (SSTD, 2015)

Clustering in Geo-Social Networks. - Dingming Wu 001; Nikos Mamoulis; Jieming Shi 001 (IEEE Data Eng. Bull., 2015)

Authentication of Moving Top-k Spatial Keyword Queries. - Dingming Wu 001; Byron Choi; Jianliang Xu; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2015)

A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. - Dingming Wu 001; Christian S. Jensen (CIKM, 2016)

A frequency-based gene selection method with random forests for gene data analysis. - Thanh Trinh; Dingming Wu 001; Salman Salloum; Tung Nguyen; Joshua Zhexue Huang (RIVF, 2016)

Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. - Jieming Shi 001; Dingming Wu 001; Nikos Mamoulis (SIGMOD Conference, 2016)

An incremental model on search engine query recommendation. - Jianguo Wang; Joshua Zhexue Huang; Dingming Wu 001; Jiafeng Guo; Yanyan Lan (Neurocomputing, 2016)

Location Aware Keyword Query Suggestion Based on Document Proximity. - Shuyao Qi; Dingming Wu 001; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2016)

Textually Relevant Spatial Skylines. - Jieming Shi 001; Dingming Wu 001; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2016)

A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. - Thanh Trinh; Dingming Wu 001; Joshua Zhexue Huang (WISE (2), 2017)

Density-Based Place Clustering Using Geo-Social Network Data. - Dingming Wu 001; Jieming Shi 001; Nikos Mamoulis (IEEE Trans. Knowl. Data Eng., 2018)

Efficiently Mining Maximal Diverse Frequent Itemsets. - Dingming Wu 001; Dexin Luo; Christian S. Jensen; Joshua Zhexue Huang (DASFAA (2), 2019)

In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. - Dingming Wu 001; Yi Zhu; Christian S. Jensen (DASFAA (2), 2019)

A New Approach for Approximately Mining Frequent Itemsets. - Timur Valiullin; Joshua Zhexue Huang; Jianfei Yin; Dingming Wu 001 (DAMDID/RCDL, 2019)

A New Location-Based Topic Model for Event Attendees Recommendation. - Thanh Trinh; Ngoc-Tuan Nguyen; Dingming Wu 001; Joshua Zhexue Huang; Tamer Z. Emara (RIVF, 2019)

C3C: A New Static Content-Based Three-Level Web Cache. - Thanh Trinh; Dingming Wu 001; Joshua Zhexue Huang (IEEE Access, 2019)

Semantic Region Retrieval from Spatial RDF Data. - Dingming Wu 001; Can Hou; Erjia Xiao; Christian S. Jensen (DASFAA (2), 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 001 (Big Data Min. Anal., 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 001 (Big Data Min. Anal., 2020)

Activeness and Loyalty Analysis in Event-Based Social Networks. - Thanh Trinh; Dingming Wu 001; Joshua Zhexue Huang; Muhammad Azhar (Entropy, 2020)

Top-k relevant semantic place retrieval on spatiotemporal RDF data. - Dingming Wu 001; Hao Zhou; Jieming Shi 001; Nikos Mamoulis (VLDB J., 2020)

AI Creativity and the Human-AI Co-creation Model. - Zhuohao Wu; Danwen Ji; Kaiwen Yu; Xianxu Zeng; Dingming Wu 001; Mohammad Shidujaman (HCI (1), 2021)

A new approximate method for mining frequent itemsets from big data. - Timur Valiullin; Zhexue Huang; Chenghao Wei; Jianfei Yin; Dingming Wu 001; Iuliia Egorova (Comput. Sci. Inf. Syst., 2021)

An effective content-based event recommendation model. - Thanh Trinh; Dingming Wu 001; Ruili Wang; Joshua Zhexue Huang (Multim. Tools Appl., 2021)

Density-Based Top-K Spatial Textual Clusters Retrieval. - Dingming Wu 001; Ilkcan Keles; Song Wu; Hao Zhou; Simonas Saltenis; Christian S. Jensen; Kezhong Lu (IEEE Trans. Knowl. Data Eng., 2022)

Mining Frequent Geo-Subgraphs in a Knowledge Graph. - Yixin Wu; Jingyan Huang; Dingming Wu 001; Christian S. Jensen; Kezhong Lu (APWeb-WAIM (1), 2023)

A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. - Xinying Lai; Dingming Wu 001; Christian S. Jensen; Kezhong Lu (CIKM, 2023)

Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs. - Dingming Wu 001; Erjia Xiao; Yi Zhu; Christian S. Jensen; Kezhong Lu (IEEE Trans. Knowl. Data Eng., 2023)

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. - Xudong Sun 004; Yulin He; Dingming Wu 001; Joshua Zhexue Huang (Big Data Min. Anal., 2023)

Non-MapReduce computing for intelligent big data analysis. - Xudong Sun 004; Lingxiang Zhao; Jiaqi Chen; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Eng. Appl. Artif. Intell., 2024)

CDFRS: A scalable sampling approach for efficient big data analysis. - Yongda Cai; Dingming Wu 001; Xudong Sun 004; Siyue Wu; Jingsheng Xu; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

LION: Fast and High-Resolution Network Kernel Density Visualization. - Tsz Nam Chan; Rui Zang; Bojian Zhu; Leong Hou U; Dingming Wu 001; Jianliang Xu (Proc. VLDB Endow., 2024)

A scalable and flexible basket analysis system for big transaction data in Spark. - Xudong Sun 004; Alladoumbaye Ngueilbaye; Kaijing Luo; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

Efficient and Accurate PageRank Approximation on Large Graphs. - Siyue Wu; Dingming Wu 001; Junyi Quan; Tsz Nam Chan; Kezhong Lu (Proc. ACM Manag. Data, 2024)

LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization. - Tsz Nam Chan; Bojian Zhu; Dingming Wu 001; Yun Peng 002; Leong Hou U (Proc. VLDB Endow., 2024)

Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs. - Dingming Wu 001; Zhaofen Zhang; Christian S. Jensen; Kezhong Lu (IEEE Trans. Knowl. Data Eng., 2024)

Spatially Compact Dense Block Mining in Spatial Tensors. - Weike Tang; Dingming Wu 001; Tsz Nam Chan; Kezhong Lu (KDD (1), 2025)

A Fast Line Density Visualization Plugin for Geographic Information Systems. - Tsz Nam Chan; Bojian Zhu; Dingming Wu 001; Yun Peng 002; Leong Hou U; Wei Tu 001; Ruisheng Wang 001 (SIGMOD Conference Companion, 2025)

GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs. - Siyue Wu; Dingming Wu 001; Sinhong Cheuk; Tsz Nam Chan; Kezhong Lu (Proc. VLDB Endow., 2025)