Selected Publications
2025
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Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu. Efficient and Accurate PageRank Approximation on Large Graphs. Proceedings of ACM Conference on Management of Data (SIGMOD).
2024
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Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu. LION: Fast and High-Resolution Network Kernel Density Visualization. Proceedings of the VLDB Endowment (PVLDB).
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Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U. A Computation-aware Shape Loss Function for Point Cloud Completion. Annual AAAI Conference on Artificial Intelligence (AAAI).
2023
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Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng. Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu. PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Yun Peng, Byron Choi, Tsz Nam Chan, Jianye Yang, Jianliang Xu. Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng. PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Dingming Wu, Erjia Xiao, Yi Zhu, Christian S. Jensen, Kezhong Lu. Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu. A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. International Conference on Information and Knowledge Management (CIKM).
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Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng. Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. IEEE International Conference on Mobile Data Management (MDM).
2022
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Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu. SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Tsz Nam Chan, Leong Hou U, Yun Peng, Byron Choi, Jianliang Xu. Fast Network K-function-based Spatial Analysis. Proceedings of the VLDB Endowment (PVLDB).
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Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu. SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. Proceedings of the VLDB Endowment (PVLDB).
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Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu. SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. Proceedings of the VLDB Endowment (PVLDB).
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Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu. LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. Proceedings of the VLDB Endowment (PVLDB).
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Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu. LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. IEEE International Conference on Data Engineering (ICDE).
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Zhe Li, Man Lung Yiu, Tsz Nam Chan. PAW: Data Partitioning Meets Workload Variance. IEEE International Conference on Data Engineering (ICDE).
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Dingming Wu, Ilkcan Keles, Song Wu, Hao Zhou, Simonas Saltenis, Christian S. Jensen, Kezhong Lu. Density-Based Top-K Spatial Textual Clusters Retrieval. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau. Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. IEEE Transactions on Image Processing (TIP).
2021
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Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng. Fast Augmentation Algorithms for Network Kernel Density Visualization. Proceedings of the VLDB Endowment (PVLDB).
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Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng. KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. Proceedings of the VLDB Endowment (PVLDB).
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Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen. PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. Proceedings of International Conference on Extending Database Technology (EDBT).
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Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, Mohammad Shidujaman. AI Creativity and the Human-AI Co-creation Model. International Conference on Human-Computer Interaction (HCI).
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Hui Li, Tsz Nam Chan, Xianbiao Qi, Wuyuan Xie. Detail-Preserving Multi-Exposure Fusion with Edge-Preserving Structural Patch Decomposition. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
2020
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Tsz Nam Chan, Reynold Cheng, Man Lung Yiu. QUAD: Quadratic-Bound-based Kernel Density Visualization. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Dingming Wu, Hao Zhou, Jieming Shi, Nikos Mamoulis. Top-k relevant semantic place retrieval on spatiotemporal RDF data. The VLDB Journal (VLDBJ)
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Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal. Efficient Algorithms for Kernel Aggregation Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE)
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Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang. Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE)
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Dingming Wu, Can Hou, Erjia Xiao, Christian S. Jensen. Semantic Region Retrieval from Spatial RDF Data. Database Systems for Advanced Applications (DASFAA).
2019
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Tsz Nam Chan, Man Lung Yiu, Leong Hou U. KARL: Fast Kernel Aggregation Queries. IEEE International Conference on Data Engineering (ICDE).
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Tsz Nam Chan, Man Lung Yiu, Leong Hou U. The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang. Efficiently Mining Maximal Diverse Frequent Itemsets. Database Systems for Advanced Applications (DASFAA).
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Dingming Wu, Yi Zhu, Christian S. Jensen. In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs. Database Systems for Advanced Applications (DASFAA).
2018
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Dingming Wu, Jieming Shi, Nikos Mamoulis. Density-Based Place Clustering Using Geo-Social Network Data. IEEE Transactions on Knowledge and Data Engineering (TKDE).
2017
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Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis. FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Tsz Nam Chan, Man Lung Yiu, Kien A. Hua. Efficient Sub-Window Nearest Neighbor Search on Matrix. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Thanh Trinh, Dingming Wu, Joshua Zhexue Huang: A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. International Conference on Web Information Systems Engineering (WISE).
2016
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Jieming Shi, Dingming Wu, Nikos Mamoulis. Top-k Relevant Semantic Place Retrieval on Spatial RDF Data. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Shuyao Qi, Dingming Wu, Nikos Mamoulis. Location aware keyword query suggestion based on document proximity. IEEE International Conference on Data Engineering (ICDE).
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Jieming Shi, Dingming Wu, Nikos Mamoulis. Textually Relevant Spatial Skylines. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Dingming Wu, Christian S. Jensen. A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. International Conference on Information and Knowledge Management (CIKM).
2015
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Dingming Wu, Byron Choi, Jianliang Xu, Christian S. Jensen. Authentication of Moving Top-k Spatial Keyword Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis. Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. ACM Conference on Recommender Systems (RecSys).
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Tsz Nam Chan, Man Lung Yiu, Kien A. Hua. A Progressive Approach for Similarity Search on Matrix. International Symposium on Spatial and Temporal Databases (SSTD).
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Jiafeng Hu, Reynold Cheng, Dingming Wu, Beihong Jin. Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe. International Symposium on Spatial and Temporal Databases (SSTD).
2014
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Jieming Shi, Nikos Mamoulis, Dingming Wu, David W. Cheung. Density-based Place Clustering in Geo-social Networks. Proceedings of ACM Conference on Management of Data (SIGMOD).
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Hui Li, Dingming Wu, Nikos Mamoulis. A Revisit to Social Network-based Recommender Systems. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
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Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su. Spatial-aware Interest Group Queries in Location-based Social Networks. Data & Knowledge Engineering (DKE)
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Dingming Wu, Yafei Li, Byron Choi, Jianliang Xu. Social-Aware Top-k Spatial Keyword Search. IEEE International Conference on Mobile Data Management (MDM).
2013
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Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu. Spatial Keyword Query Processing: An Experimental Evaluation. Proceedings of the VLDB Endowment (PVLDB).
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Dingming Wu, Man Lung Yiu, Christian S. Jensen. Moving Spatial Keyword Queries: Formulation, Methods, and Analysis. ACM Transactions on Database Systems (TODS).
2012
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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. Proceedings of the VLDB Endowment (PVLDB).
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Dingming Wu, Gao Cong, Christian S. Jensen. A Framework for Efficient Spatial Web Object Retrieval. The VLDB Journal (VLDBJ).
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Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen. Joint Top-K Spatial Keyword Query Processing. IEEE Transactions on Knowledge and Data Engineering (TKDE).
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Yafei Li, Dingming Wu, Jianliang Xu, Byron Choi, Weifeng Su. Spatial-aware Interest Group Queries in Location-based Social Networks. International Conference on Information and Knowledge Management (CIKM).
2011
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Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong. Efficient Continuously Moving Top-k Spatial Keyword Query Processing. IEEE International Conference on Data Engineering (ICDE).
2009
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Gao Cong, Christian S. Jensen, Dingming Wu. Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects. Proceedings of the VLDB Endowment (PVLDB).
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