Alexander Zhou

Orcid: 0000-0002-7063-2017

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong


According to our database1, Alexander Zhou authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
Efficient Index for Temporal Core Queries over Bipartite Graphs.
Proc. VLDB Endow., July, 2024

Report on the 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA 2024).
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Maximum Balanced (k, ε)-Bitruss Detection in Signed Bipartite Graph.
Proc. VLDB Endow., November, 2023

Butterfly counting and bitruss decomposition on uncertain bipartite graphs.
VLDB J., September, 2023

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.
IEEE Trans. Knowl. Data Eng., September, 2023

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst., 2023

Maximal D-truss Search in Dynamic Directed Graphs.
Proc. VLDB Endow., 2023

2022
Fast-adapting and privacy-preserving federated recommender system.
VLDB J., 2022

Towards Distributed Bitruss Decomposition on Bipartite Graphs.
Proc. VLDB Endow., 2022

Efficient Personalized Maximum Biclique Search.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Butterfly Counting on Uncertain Bipartite Networks.
Proc. VLDB Endow., 2021

2020
Finding Large Diverse Communities on Networks: The Edge Maximum k*-Partite Clique.
Proc. VLDB Endow., 2020

2019
Streaming Session-based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Discovering Strong Communities with User Engagement and Tie Strength.
Proceedings of the Database Systems for Advanced Applications, 2018

Finding Maximal Stable Cores in Social Networks.
Proceedings of the Databases Theory and Applications, 2018


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