Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. - Peiyan Li; Zhili Qin; Honglian Wang; Qinli Yang; Junming Shao (ICDM, 2020)

Community Detection with Local Metric Learning. - Peiyan Li; Honglian Wang; Jianyun Lu; Qinli Yang; Junming Shao (ICDM, 2020)

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. - Peiyan Li; Honglian Wang; Christian Böhm 001; Junming Shao (IJCAI, 2020)

Learning Dynamic User Behavior Based on Error-driven Event Representation. - Honglian Wang; Peiyan Li; Wujun Tao; Bailin Feng; Junming Shao (WWW, 2021)

Towards real-time demand-aware sequential POI recommendation. - Honglian Wang; Peiyan Li; Yang Liu; Junming Shao (Inf. Sci., 2021)

Minimizing Hitting Time between Disparate Groups with Shortcut Edges. - Florian Adriaens; Honglian Wang; Aristides Gionis (KDD, 2023)

Influence without Authority: Maximizing Information Coverage in Hypergraphs. - Peiyan Li; Honglian Wang; Kai Li; Christian Böhm 001 (SDM, 2023)

Scalable Graph Classification via Random Walk Fingerprints. - Peiyan Li; Honglian Wang; Christian Böhm 001 (ICDM, 2024)

Finding Densest Subgraphs with Edge-Color Constraints. - Lutz Oettershagen; Honglian Wang; Aristides Gionis (WWW, 2024)

Sequential Diversification with Provable Guarantees. - Honglian Wang; Sijing Tu; Aristides Gionis (WSDM, 2025)