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Peiyan Li

Orcid: 0000-0002-8677-559X

Affiliations:
  • Ludwig Maximilian University of Munich (LMU Munich), Institute of Computer Science, Germany (PhD 2025)
  • University of Electronic Science and Technology of China (UESTC), Data Mining Lab, School of Computer Science and Engineering, Chengdu, China


According to our database1, Peiyan Li authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Data mining techniques for graph and hypergraph analysis.
[BibTeX]
[DOI]
Peiyan Li
PhD thesis, 2025

Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract).
[BibTeX]
[DOI]
Peiyan Li
,
Honglian Wang
,
Christian Böhm
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Scalable Graph Classification via Random Walk Fingerprints.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Peiyan Li
,
Honglian Wang
,
Kai Li
,
Christian Böhm
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Interpretable Subgraph Feature Extraction for Hyperlink Prediction.
[BibTeX]
[DOI]
Peiyan Li
,
Liming Pan
,
Kai Li
,
Claudia Plant
,
Christian Böhm
Proceedings of the IEEE International Conference on Data Mining, 2023

2021
Towards real-time demand-aware sequential POI recommendation.
[BibTeX]
[DOI]
Honglian Wang
,
Peiyan Li
,
Yang Liu
,
Junming Shao
Inf. Sci., 2021

Learning Dynamic User Behavior Based on Error-driven Event Representation.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Peiyan Li
,
Zhili Qin
,
Honglian Wang
,
Qinli Yang
,
Junming Shao
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Online Budgeted Least Squares with Unlabeled Data.
[BibTeX]
[DOI]
Chen Huang
,
Peiyan Li
,
Chongming Gao
,
Qinli Yang
,
Junming Shao
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.
[BibTeX]
[DOI]
Zhong Zhang
,
Zhili Qin
,
Peiyan Li
,
Qinli Yang
,
Junming Shao
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization.
[BibTeX]
[DOI]
Junming Shao
,
Zhongjing Yu
,
Peiyan Li
,
Wei Han
,
Christian Sorg
,
Qinli Yang
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017


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