Honglian Wang

According to our database, Honglian Wang authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Streaming Stochastic Submodular Maximization with On-Demand User Requests.

Honglian Wang, Sijing Tu, Lutz Oettershagen, Aristides Gionis

CoRR, January, 2026

Fairness-aware PageRank via Edge Reweighting.

Honglian Wang, Haoyun Zhou, Aristides Gionis

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Fairness-aware PageRank via Edge Reweighting.

Honglian Wang, Haoyun Chen, Aristides Gionis

CoRR, December, 2025

Sequential Diversification with Provable Guarantees.

Honglian Wang, Sijing Tu, Aristides Gionis

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract).

Peiyan Li, Honglian Wang, Christian Böhm

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Finding Densest Subgraphs with Edge-Color Constraints.

Lutz Oettershagen, Honglian Wang, Aristides Gionis

Proceedings of the ACM on Web Conference 2024, 2024

Scalable Graph Classification via Random Walk Fingerprints.

Peiyan Li, Honglian Wang, Christian Böhm

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Influence without Authority: Maximizing Information Coverage in Hypergraphs.

Peiyan Li, Honglian Wang, Kai Li, Christian Böhm

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Minimizing Hitting Time between Disparate Groups with Shortcut Edges.

Florian Adriaens, Honglian Wang, Aristides Gionis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Towards real-time demand-aware sequential POI recommendation.

Honglian Wang, Peiyan Li, Yang Liu, Junming Shao

Inf. Sci., 2021

Learning Dynamic User Behavior Based on Error-driven Event Representation.

Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression.

Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community Detection with Local Metric Learning.

Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning.

Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020