Peiyan Li

According to our database, Peiyan Li authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Quick Framework for Evaluating Worst Robustness of Complex Networks.

Wenjun Jiang, Peiyan Li, Tianlong Fan, Ting Li, Chuanfu Zhang, Tao Zhang, Zongfu Luo

CoRR, 2024

2023

Robust Video Stabilization based on Motion Decomposition.

Jian Wang, Qiang Ling, Peiyan Li

ACM Trans. Multim. Comput. Commun. Appl., 2023

Exploring High-Order Spatio-Temporal Correlations From Skeleton for Person Re-Identification.

Jiaxuan Lu, Hai Wan, Peiyan Li, Xibin Zhao, Nan Ma, Yue Gao

IEEE Trans. Image Process., 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

Interpretable Subgraph Feature Extraction for Hyperlink Prediction.

Peiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Böhm

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Random Structural Data Augmentation for Lane Detection.

Binhui Liu, Peiyan Li, Yonghua Xu, Lisong Cao, Liu Hong, Jie Sheng, Qiang Ling

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021

Towards real-time demand-aware sequential POI recommendation.

Honglian Wang, Peiyan Li, Yang Liu, Junming Shao

Inf. Sci., 2021

FREPD: A Robust Federated Learning Framework on Variational Autoencoder.

Zhipin Gu, Liangzhong He, Peiyan Li, Peng Sun, Jiangyong Shi, Yuexiang Yang

Comput. Syst. Sci. Eng., 2021

Predicting hyperlinks via hypernetwork loop structure.

Liming Pan, Hui-Juan Shang, Peiyan Li, Haixing Dai, Wei Wang, Lixin Tian

CoRR, 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

2019

Online Budgeted Least Squares with Unlabeled Data.

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.

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.

Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017