Wenqing Lin

Orcid: 0000-0003-4741-801X

According to our database1, Wenqing Lin authored at least 36 papers between 2012 and 2024.

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Bibliography

2024
Efficient Algorithms for Group Hitting Probability Queries on Large Graphs.
IEEE Trans. Knowl. Data Eng., July, 2024

Minimum Strongly Connected Subgraph Collection in Dynamic Graphs.
Proc. VLDB Endow., February, 2024

Information Diffusion Meets Invitation Mechanism.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

DAG: Deep Adaptive and Generative <i>K</i>-Free Community Detection on Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

ScalFrag: Efficient Tiled-MTTKRP with Adaptive Launching on GPUs.
Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness.
IEEE Trans. Knowl. Data Eng., August, 2023

Managing Conflicting Interests of Stakeholders in Influencer Marketing.
Proc. ACM Manag. Data, 2023

A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull., 2023

Capacity Constrained Influence Maximization in Social Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Constrained Social Community Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Influence Maximization Revisited: Efficient Sampling with Bound Tightened.
ACM Trans. Database Syst., 2022

Influence Maximization in Real-World Closed Social Networks.
Proc. VLDB Endow., 2022

Measuring Friendship Closeness: A Perspective of Social Identity Theory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Metagraph-Based Learning on Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng., 2021

Large-Scale Network Embedding in Apache Spark.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Hiding Numerical Vectors in Local Private and Shuffled Messages.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.
IEEE Trans. Knowl. Data Eng., 2020

Initialization for Network Embedding: A Graph Partition Approach.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst., 2019

Effective and Efficient Network Embedding Initialization via Graph Partitioning.
CoRR, 2019

Distributed Algorithms for Fully Personalized PageRank on Large Graphs.
Proceedings of the World Wide Web Conference, 2019

Efficient Batch One-Hop Personalized PageRanks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017
Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017

2016
Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
Proc. VLDB Endow., 2016

Semantic proximity search on graphs with metagraph-based learning.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Efficient techniques for subgraph mining and query processing
PhD thesis, 2015

Efficient Route Planning on Public Transportation Networks: A Labelling Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
Reachability queries on large dynamic graphs: a total order approach.
Proceedings of the International Conference on Management of Data, 2014

Large-scale frequent subgraph mining in MapReduce.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Minimal MapReduce algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Efficient single-source shortest path and distance queries on large graphs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

LSII: An indexing structure for exact real-time search on microblogs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Efficient algorithms for generalized subgraph query processing.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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