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Reynold C. K. Cheng
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- affiliation: University of Hong Kong
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2020 – today
- 2023
[c100]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. AAAI 2023: 13076-13084- [c99]Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng:
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. MDM 2023: 231-234 - [c98]Tsz Nam Chan
, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng:
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. SIGMOD Conference Companion 2023: 21-29 - [i14]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. CoRR abs/2301.07507 (2023) - [i13]Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i12]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i11]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR abs/2308.05508 (2023) - 2022
- [j77]Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann:
DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. Proc. VLDB Endow. 15(7): 1493-1505 (2022) - [j76]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
Finding Locally Densest Subgraphs: A Convex Programming Approach. Proc. VLDB Endow. 15(11): 2719-2732 (2022) - [j75]Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y. L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao:
The Social Technology and Research (STAR) Lab in the University of Hong Kong. SIGMOD Rec. 51(2): 63-68 (2022) - [j74]Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal:
Efficient Algorithms for Kernel Aggregation Queries. IEEE Trans. Knowl. Data Eng. 34(6): 2726-2739 (2022) - [j73]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 Trans. Knowl. Data Eng. 34(9): 4172-4185 (2022) - [j72]Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach. IEEE Trans. Parallel Distributed Syst. 33(1): 231-248 (2022) - [j71]Xiaolin Han, Daniele Dell'Aglio, Tobias Grubenmann, Reynold Cheng, Abraham Bernstein:
A framework for differentially-private knowledge graph embeddings. J. Web Semant. 72: 100696 (2022) - [c97]Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. CIKM 2022: 1563-1572 - [c96]Wenya Sun, Tobias Grubenmann, Reynold Cheng, Ben Kao, Wai-Ki Ching:
Modeling Long-Range Travelling Times with Big Railway Data. DASFAA (3) 2022: 443-454 - [c95]Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li:
Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. SDM 2022: 64-72 - [c94]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. SIGMOD Conference 2022: 845-859 - [i10]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j70]Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao:
On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. 14(6): 1111-1123 (2021) - [j69]Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng:
Fast Augmentation Algorithms for Network Kernel Density Visualization. Proc. VLDB Endow. 14(9): 1503-1516 (2021) - [j68]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. Proc. VLDB Endow. 14(12): 2655-2658 (2021) - [j67]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. 50(1): 33-40 (2021) - [j66]Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng:
GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries. IEEE Trans. Knowl. Data Eng. 33(4): 1554-1566 (2021) - [j65]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
On Directed Densest Subgraph Discovery. ACM Trans. Database Syst. 46(4): 13:1-13:45 (2021) - [j64]Reynold Cheng, Nikos Mamoulis, Xin Huang:
Guest editorial: WWWJ special issue of the 20th international conference on Web information systems engineering (WISE 2019). World Wide Web 24(1): 347-349 (2021) - [c93]Xusheng Chen, Haoze Song, Jianyu Jiang, Chaoyi Ruan, Cheng Li, Sen Wang, Gong Zhang, Reynold Cheng, Heming Cui:
Achieving low tail-latency and high scalability for serializable transactions in edge computing. EuroSys 2021: 210-227 - [i9]Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks. CoRR abs/2112.12845 (2021) - 2020
- [j63]Reynold Cheng, Sibo Wang, Wen Hua, Xin Huang:
Editorial of Special Issue of WISE 2019. Data Sci. Eng. 5(3): 205-206 (2020) - [j62]Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal:
An ML-Powered Human Behavior Management System. IEEE Data Eng. Bull. 43(3): 53-64 (2020) - [j61]Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang:
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190: 105138 (2020) - [j60]Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu:
ROAM: A Fundamental Routing Query on Road Networks with Efficiency. IEEE Trans. Knowl. Data Eng. 32(8): 1595-1609 (2020) - [j59]Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
A Crowdsourcing Framework for Collecting Tabular Data. IEEE Trans. Knowl. Data Eng. 32(11): 2060-2074 (2020) - [j58]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
A survey of community search over big graphs. VLDB J. 29(1): 353-392 (2020) - [j57]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
Correction: A survey of community search over big graphs. VLDB J. 29(5): 1219 (2020) - [c92]Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao:
M-Cypher: A GQL Framework Supporting Motifs. CIKM 2020: 3433-3436 - [c91]Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng:
A Toolkit for Managing Multiple Crowdsourced Top-K Queries. CIKM 2020: 3453-3456 - [c90]Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. DASFAA (2) 2020: 314-330 - [c89]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. ICDE 2020: 49-60 - [c88]Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin:
MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. ICDE 2020: 1722-1725 - [c87]Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun:
Traffic Incident Detection: A Trajectory-based Approach. ICDE 2020: 1866-1869 - [c86]Tien-Hsuan Wu, Ben Kao, Anne S. Y. Cheung, Michael M. K. Cheung, Chen Wang, Yongxi Chen, Guowen Yuan, Reynold Cheng:
Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases. JURIX 2020: 174-183 - [c85]Tsz Nam Chan, Reynold Cheng, Man Lung Yiu:
QUAD: Quadratic-Bound-based Kernel Density Visualization. SIGMOD Conference 2020: 35-50 - [c84]Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng:
SCODED: Statistical Constraint Oriented Data Error Detection. SIGMOD Conference 2020: 845-860 - [c83]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. SIGMOD Conference 2020: 1051-1066 - [c82]Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan:
TSA: A Truthful Mechanism for Social Advertising. WSDM 2020: 214-222
2010 – 2019
- 2019
- [j56]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. Proc. VLDB Endow. 12(11): 1719-1732 (2019) - [j55]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li:
LINC: A Motif Counting Algorithm for Uncertain Graphs. Proc. VLDB Endow. 13(2): 155-168 (2019) - [j54]Yun Li, Yixiang Fang, Reynold Cheng, Wenjie Zhang:
Spatial pattern matching: a new direction for finding spatial objects. ACM SIGSPATIAL Special 11(1): 3-12 (2019) - [j53]Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen:
On Spatial-Aware Community Search. IEEE Trans. Knowl. Data Eng. 31(4): 783-798 (2019) - [j52]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [j51]Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu:
Effective and Efficient Community Search Over Large Directed Graphs. IEEE Trans. Knowl. Data Eng. 31(11): 2093-2107 (2019) - [j50]Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong:
Evaluating pattern matching queries for spatial databases. VLDB J. 28(5): 649-673 (2019) - [c81]Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam:
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE 2019: 746-757 - [c80]Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng:
An Efficient Framework for Correctness-Aware kNN Queries on Road Networks. ICDE 2019: 1298-1309 - [c79]Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng:
MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks. ICDE 2019: 1310-1321 - [c78]Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu:
Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract). ICDE 2019: 2157-2158 - [c77]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [c76]Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. ICPP 2019: 6:1-6:10 - [e4]Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang:
Web Information Systems Engineering - WISE 2019 - 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings. Lecture Notes in Computer Science 11881, Springer 2019, ISBN 978-3-030-34222-7 [contents] - [i8]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - [i7]Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng:
Detecting Data Errors with Statistical Constraints. CoRR abs/1902.09711 (2019) - [i6]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
A Survey of Community Search Over Big Graphs. CoRR abs/1904.12539 (2019) - [i5]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. CoRR abs/1906.00341 (2019) - [i4]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. CoRR abs/1911.01030 (2019) - [i3]Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. CoRR abs/1911.01042 (2019) - 2018
- [j49]Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang:
STEM: a suffix tree-based method for web data records extraction. Knowl. Inf. Syst. 55(2): 305-331 (2018) - [j48]Siqiang Luo, Ben Kao, Guoliang Li, Jiafeng Hu, Reynold Cheng, Yudian Zheng:
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks. Proc. VLDB Endow. 11(5): 594-606 (2018) - [j47]Zhipeng Huang, Bogdan Cautis, Reynold Cheng, Yudian Zheng, Nikos Mamoulis, Jing Yan:
Entity-Based Query Recommendation for Long-Tail Queries. ACM Trans. Knowl. Discov. Data 12(6): 64:1-64:24 (2018) - [j46]Chengcheng Dai, Sarana Nutanong, Chi-Yin Chow, Reynold Cheng:
Entropy-Based Scheduling Policy for Cross Aggregate Ranking Workloads. IEEE Trans. Serv. Comput. 11(3): 507-520 (2018) - [c75]Haiqi Sun, Reynold Cheng, Xiaokui Xiao, Jing Yan, Yudian Zheng, Yuqiu Qian:
Maximizing Social Influence for the Awareness Threshold Model. DASFAA (1) 2018: 491-510 - [c74]Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu:
Scalable Evaluation of k-NN Queries on Large Uncertain Graphs. EDBT 2018: 181-192 - [c73]Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li:
On Spatial Pattern Matching. ICDE 2018: 293-304 - [c72]Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
T-Crowd: Effective Crowdsourcing for Tabular Data. ICDE 2018: 1316-1319 - [c71]Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis:
SpaceKey: Exploring Patterns in Spatial Databases. ICDE 2018: 1577-1580 - [c70]Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang:
Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks. ICDM 2018: 1470-1475 - [r9]Reynold Cheng:
Uncertain Spatial Data Management. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Reynold Cheng, Jinchuan Chen:
Probabilistic Spatial Queries. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Sunil Prabhakar, Reynold Cheng:
Data Uncertainty Management in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Sunil Prabhakar, Reynold Cheng:
Indexing Uncertain Data. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j45]Klaus Arthur Schmid, Andreas Züfle, Tobias Emrich, Matthias Renz, Reynold Cheng:
Uncertain Voronoi cell computation based on space decomposition. GeoInformatica 21(4): 797-827 (2017) - [j44]Chenghui Ren, Eric Lo, Ben Kao, Xinjie Zhu, Reynold Cheng, David W. Cheung:
Efficient processing of shortest path queries in evolving graph sequences. Inf. Syst. 70: 18-31 (2017) - [j43]Yudian Zheng, Guoliang Li, Yuanbing Li, Caihua Shan, Reynold Cheng:
Truth Inference in Crowdsourcing: Is the Problem Solved? Proc. VLDB Endow. 10(5): 541-552 (2017) - [j42]Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu:
Effective Community Search over Large Spatial Graphs. Proc. VLDB Endow. 10(6): 709-720 (2017) - [j41]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang:
C-Explorer: Browsing Communities in Large Graphs. Proc. VLDB Endow. 10(12): 1885-1888 (2017) - [j40]Zhian He, Petrie Wong, Ben Kao, Eric Lo, Reynold Cheng, Ziqiang Feng:
Efficient Pattern-Based Aggregation on Sequence Data. IEEE Trans. Knowl. Data Eng. 29(2): 286-299 (2017) - [j39]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
On Minimal Steiner Maximum-Connected Subgraph Queries. IEEE Trans. Knowl. Data Eng. 29(11): 2455-2469 (2017) - [j38]Silviu Maniu, Reynold Cheng, Pierre Senellart:
An Indexing Framework for Queries on Probabilistic Graphs. ACM Trans. Database Syst. 42(2): 13:1-13:34 (2017) - [j37]Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu:
Effective and efficient attributed community search. VLDB J. 26(6): 803-828 (2017) - [c69]Reynold Cheng, Zhipeng Huang, Yudian Zheng, Jing Yan, Ka Yu Wong, Eddie Ng:
Meta Paths and Meta Structures: Analysing Large Heterogeneous Information Networks. APWeb/WAIM (1) 2017: 3-7 - [c68]Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo:
On Embedding Uncertain Graphs. CIKM 2017: 157-166 - [c67]Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Yan, Ben Kao:
SEQ: Example-based Query for Spatial Objects. CIKM 2017: 2179-2182 - [c66]Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng:
Crowdsourced Data Management: Overview and Challenges. SIGMOD Conference 2017: 1711-1716 - [c65]Yixiang Fang, Reynold Cheng:
On Attributed Community Search. MATES@VLDB 2017: 1-21 - [c64]Yong Xu, Reynold Cheng, Yudian Zheng:
Reliable Retrieval of Top-k Tags. WISE (1) 2017: 330-346 - [r5]Reynold Cheng:
Spatial Data, Indexing Techniques. Encyclopedia of GIS 2017: 1992-2002 - [i2]Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
T-Crowd: Effective Crowdsourcing for Tabular Data. CoRR abs/1708.02125 (2017) - 2016
- [j36]Zhi-Jie Wang, Bin Yao, Reynold Cheng, Xiaofeng Gao, Lei Zou, Haibing Guan, Minyi Guo:
SMe: explicit & implicit constrained-space probabilistic threshold range queries for moving objects. GeoInformatica 20(1): 19-58 (2016) - [j35]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu:
Effective Community Search for Large Attributed Graphs. Proc. VLDB Endow. 9(12): 1233-1244 (2016) - [j34]Yudian Zheng, Guoliang Li, Reynold Cheng:
DOCS: Domain-Aware Crowdsourcing System. Proc. VLDB Endow. 10(4): 361-372 (2016) - [j33]Reynold Cheng:
Managing uncertainty of large spatial databases. ACM SIGSPATIAL Special 8(2): 11-17 (2016) - [j32]Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang:
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data. IEEE Trans. Knowl. Data Eng. 28(3): 785-800 (2016) - [c63]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. CIKM 2016: 1241-1250 - [c62]Zhipeng Huang, Bogdan Cautis, Reynold Cheng, Yudian Zheng:
KB-Enabled Query Recommendation for Long-Tail Queries. CIKM 2016: 2107-2112 - [c61]Huiqi Hu, Yudian Zheng, Zhifeng Bao, Guoliang Li, Jianhua Feng, Reynold Cheng:
Crowdsourced POI labelling: Location-aware result inference and Task Assignment. ICDE 2016: 61-72 - [c60]Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang:
Scalable algorithms for nearest-neighbor joins on big trajectory data. ICDE 2016: 1528-1529 - [c59]Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li:
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. KDD 2016: 1595-1604 - [c58]Yuqing Sun, Haiqi Sun, Reynold Cheng:
Fast and Semantic Measurements on Collaborative Tagging Quality. PAKDD (2) 2016: 363-375 - 2015
- [j31]Reynold Cheng, Silviu Maniu, Pierre Senellart:
Guest Editorial: Special Issue on Databases and Crowdsourcing. Distributed Parallel Databases 33(1): 1-2 (2015) - [j30]Mario A. Nascimento, Timos K. Sellis, Reynold Cheng:
Special issue on spatial and temporal database management. GeoInformatica 19(2): 297-298 (2015)