Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. - Junming Shao; Zhongjing Yu; Peiyan Li 002; Wei Han 009; Christian Sorg; Qinli Yang (ICDM, 2017)

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. - Zhong Zhang 004; Zhili Qin; Peiyan Li 002; Qinli Yang; Junming Shao (DASFAA (2), 2018)

Online Budgeted Least Squares with Unlabeled Data. - Chen Huang; Peiyan Li 002; Chongming Gao; Qinli Yang; Junming Shao (ICDM, 2019)

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. - Peiyan Li 002; Zhili Qin; Honglian Wang; Qinli Yang; Junming Shao (ICDM, 2020)

Community Detection with Local Metric Learning. - Peiyan Li 002; 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 002; Honglian Wang; Christian Böhm 001; Junming Shao (IJCAI, 2020)

Learning Dynamic User Behavior Based on Error-driven Event Representation. - Honglian Wang; Peiyan Li 002; Wujun Tao; Bailin Feng; Junming Shao (WWW, 2021)

Towards real-time demand-aware sequential POI recommendation. - Honglian Wang; Peiyan Li 002; Yang Liu; Junming Shao (Inf. Sci., 2021)

Interpretable Subgraph Feature Extraction for Hyperlink Prediction. - Peiyan Li 002; Liming Pan; Kai Li; Claudia Plant; Christian Böhm 001 (ICDM, 2023)

Influence without Authority: Maximizing Information Coverage in Hypergraphs. - Peiyan Li 002; Honglian Wang; Kai Li; Christian Böhm 001 (SDM, 2023)

Scalable Graph Classification via Random Walk Fingerprints. - Peiyan Li 002; Honglian Wang; Christian Böhm 001 (ICDM, 2024)

Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract). - Peiyan Li 002; Honglian Wang; Christian Böhm 001 (IJCAI, 2025)

Data mining techniques for graph and hypergraph analysis. - Peiyan Li 002 (2025)