Reynold Cheng

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 127

Top Venues

CoRR

ICDE

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu
Unlocking Continual Learning Abilities in Language Models. CoRR (2024)
Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng
From Motif to Path: Connectivity and Homophily. ICDE (2024)
Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. CoRR (2024)
Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang
Debiasing Recommendation with Personal Popularity. WWW (2024)
Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng
Multi-order Graph Clustering with Adaptive Node-level Weight Learning. CoRR (2024)
Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng
Multi-order graph clustering with adaptive node-level weight learning. Pattern Recognit. 156 (2024)
Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng
FDM: Effective and efficient incident detection on sparse trajectory data. Inf. Syst. 125 (2024)
Nan Huo, Reynold Cheng, Ben Kao, Wentao Ning, Nur Al Hasan Haldar, Xiaodong Li, Jinyang Li, Mohammad Matin Najafi, Tian Li, Ge Qu
ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model. Proc. VLDB Endow. 17 (7) (2024)
Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Yurong Wu, Chenhao Ma, Jian-Guang Lou, Reynold Cheng
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents. CoRR (2024)
Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation. ACL (Findings) (2024)
Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang
Debiasing Recommendation with Personal Popularity. CoRR (2024)
Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation. CoRR (2024)
Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng
Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. ICDE (2024)
Carrie Wang, Wentao Ning, Xiaoman Wu, Reynold Cheng
HINCare: An Intelligent Helper Recommender System for Elderly Care. WWW (Companion Volume) (2024)
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
A Survey on Knowledge Distillation of Large Language Models. CoRR (2024)
Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia, Reynold Cheng
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs. CoRR (2024)
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-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, 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
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li
Accelerating directed densest subgraph queries with software and hardware approaches. VLDB J. 33 (1) (2024)
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). ICDE (2024)
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR (2023)
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)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM (2023)
Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan
MOSER: Scalable Network Motif Discovery using Serial Test. Proc. VLDB Endow. 17 (3) (2023)
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications. MDM (2023)
Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. SIGMOD Conference Companion (2023)
Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Chenhao Ma, 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 (2023)
Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng, Ben Kao
Spatio-temporal flow patterns. CoRR (2023)
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 (2023)
Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. Proc. VLDB Endow. 16 (12) (2023)
Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, 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. NeurIPS (2023)
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 (2023)
Xiaolin Han, Daniele Dell'Aglio, Tobias Grubenmann, Reynold Cheng, Abraham Bernstein
A framework for differentially-private knowledge graph embeddings. J. Web Semant. 72 (2022)
Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann
DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. Proc. VLDB Endow. 15 (7) (2022)
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)
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) (2022)
Wenya Sun, Tobias Grubenmann, Reynold Cheng, Ben Kao, Wai-Ki Ching
Modeling Long-Range Travelling Times with Big Railway Data. DASFAA (3) (2022)
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)
Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
Finding Locally Densest Subgraphs: A Convex Programming Approach. Proc. VLDB Endow. 15 (11) (2022)
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)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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)
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin
Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. 50 (1) (2021)
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 (2021)
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) (2021)
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)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. DASFAA (2) (2020)
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) (2020)
Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun
Traffic Incident Detection: A Trajectory-based Approach. ICDE (2020)
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) (2020)
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) (2020)
Tsz Nam Chan, Reynold Cheng, Man Lung Yiu
QUAD: Quadratic-Bound-based Kernel Density Visualization. SIGMOD Conference (2020)
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)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng
A Toolkit for Managing Multiple Crowdsourced Top-K Queries. CIKM (2020)
Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng
SCODED: Statistical Constraint Oriented Data Error Detection. SIGMOD Conference (2020)
Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao
M-Cypher: A GQL Framework Supporting Motifs. CIKM (2020)
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)
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) (2020)
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)
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) (2020)
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190 (2020)
Reynold Cheng, Sibo Wang, Wen Hua, Xin Huang
Editorial of Special Issue of WISE 2019. Data Sci. Eng. 5 (3) (2020)
Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin
A Survey of Community Search Over Big Graphs. CoRR (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. CoRR (2019)
Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin
Efficient Algorithms for Densest Subgraph Discovery. Proc. VLDB Endow. 12 (11) (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE (2019)
Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng
An Efficient Framework for Correctness-Aware kNN Queries on Road Networks. ICDE (2019)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. CoRR (2019)
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) (2019)
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 (2019)
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) (2019)
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) (2019)
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) (2019)
Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng
Detecting Data Errors with Statistical Constraints. CoRR (2019)
Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu
Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract). ICDE (2019)
Yun Li, Yixiang Fang, Reynold Cheng, Wenjie Zhang
Spatial pattern matching: a new direction for finding spatial objects. ACM SIGSPATIAL Special 11 (1) (2019)
Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin
Efficient Algorithms for Densest Subgraph Discovery. CoRR (2019)
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)
Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. ICPP (2019)
Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong
Evaluating pattern matching queries for spatial databases. VLDB J. 28 (5) (2019)
Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng
MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks. ICDE (2019)
Haiqi Sun, Reynold Cheng, Xiaokui Xiao, Jing Yan, Yudian Zheng, Yuqiu Qian
Maximizing Social Influence for the Awareness Threshold Model. DASFAA (1) (2018)
Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang
Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks. ICDM (2018)
Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li
On Spatial Pattern Matching. ICDE (2018)
Chengcheng Dai, Sarana Nutanong, Chi-Yin Chow, Reynold Cheng
Entropy-Based Scheduling Policy for Cross Aggregate Ranking Workloads. IEEE Trans. Serv. Comput. 11 (3) (2018)
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) (2018)
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) (2018)
Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis
SpaceKey: Exploring Patterns in Spatial Databases. ICDE (2018)
Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu
Scalable Evaluation of k-NN Queries on Large Uncertain Graphs. EDBT (2018)
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) (2018)
Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng
T-Crowd: Effective Crowdsourcing for Tabular Data. ICDE (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Reynold Cheng