Xueyan Liu

According to our database, Xueyan Liu authored at least 32 papers between 2015 and 2026.

Collaborative distances:

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

2026

GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning.

Xiao Yang, Ronghao Fu, Zhuoran Duan, Zhiwen Lin, Xueyan Liu, Bo Yang

CoRR, March, 2026

GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision.

Lang Sun, Ronghao Fu, Zhuoran Duan, Haoran Liu, Xueyan Liu, Bo Yang

CoRR, March, 2026

Grouping-enhanced personalization for federated recommendation.

Linrui Shen, Anchen Li, Xueyan Liu, Riting Xia, Bo Yang

Inf. Process. Manag., 2026

2025

When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label.

Riting Xia, Rucong Wang, Yulin Liu, Anchen Li, Xueyan Liu, Yan Zhang

CoRR, July, 2025

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design.

Hao Tuo, Yan Li, Xuanning Hu, Haishi Zhao, Xueyan Liu, Bo Yang

CoRR, July, 2025

Stochastic Block Models for Complex Network Analysis: A Survey.

Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Yang Li, Xuehua Zhao, Bo Yang

ACM Trans. Knowl. Discov. Data, April, 2025

Incomplete graph learning: A comprehensive survey.

Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang

Neural Networks, 2025

GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs.

Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MVSGAE: Multi-head Variational Signed Graph Auto-Encoder.

Yonghe Gu, Xueyan Liu, Zhuoran Duan, Anchen Li, Riting Xia, Bo Yang

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

Item Attribute-aware Graph Collaborative Filtering.

Anchen Li, Xueyan Liu, Bo Yang

Expert Syst. Appl., March, 2024

Attribute imputation autoencoders for attribute-missing graphs.

Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang

Knowl. Based Syst., 2024

A novel graph oversampling framework for node classification in class-imbalanced graphs.

Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang

Sci. China Inf. Sci., 2024

Zero-shot Image Classification with Logic Adapter and Rule Prompt.

Dongran Yu, Xueyan Liu, Bo Yang

Proceedings of the ACM on Web Conference 2024, 2024

2023

A survey of sum-product networks structural learning.

Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang

Neural Networks, July, 2023

A Novel Neural-symbolic System under Statistical Relational Learning.

Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang

CoRR, 2023

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.

Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang

Proceedings of the ACM Web Conference 2023, 2023

A Counterfactual Collaborative Session-based Recommender System.

Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

Proceedings of the ACM Web Conference 2023, 2023

2022

Reinforced KGs reasoning for explainable sequential recommendation.

Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin

World Wide Web, 2022

2021

A block-based generative model for attributed network embedding.

Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin

World Wide Web, 2021

A Scalable Redefined Stochastic Blockmodel.

Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo

ACM Trans. Knowl. Discov. Data, 2021

Hyperbolic node embedding for signed networks.

Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang

Neurocomputing, 2021

Interpretable Variational Graph Autoencoder with Noninformative Prior.

Lili Sun, Xueyan Liu, Min Zhao, Bo Yang

Future Internet, 2021

DNEA: Dynamic Network Embedding Method for Anomaly Detection.

Xuan Zang, Bo Yang, Xueyan Liu, Anchen Li

Proceedings of the Knowledge Science, Engineering and Management, 2021

2020

Semi-supervised stochastic blockmodel for structure analysis of signed networks.

Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Xuehua Zhao, Wanli Zuo, Bo Yang

Knowl. Based Syst., 2020

Robust stochastic block model.

Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang

Neurocomputing, 2020

A Block-based Generative Model for Attributed Networks Embedding.

Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang

CoRR, 2020

2018

Learning node and edge embeddings for signed networks.

Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, Xueyan Liu

Neurocomputing, 2018

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks.

Xianglin Zuo, Xueyan Liu, Bo Yang

IEEE Access, 2018

Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.

Xuehua Zhao, Hua Chen, Xueyan Liu, Xu Tan, Wenzhuo Song

Proceedings of the Knowledge Science, Engineering and Management, 2018

2017

Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis.

Bo Yang, Xueyan Liu, Yang Li, Xuehua Zhao

IEEE Trans. Knowl. Data Eng., 2017

2015

Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.

Xuehua Zhao, Xueyan Liu, Daoliang Li, Huiling Chen, Shuangyin Liu, Xinbin Yang, Shaobin Zhan, Wenyong Zhao

Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

Bayesian Approach to Modeling and Detecting Communities in Signed Network.

Bo Yang, Xuehua Zhao, Xueyan Liu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015