Xueyan Liu

33 papers A* 4A 1C 1Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning.
CoRR
Xiao Yang, Ronghao Fu, Zhuoran Duan, Zhiwen Lin, Xueyan Liu, Bo Yang
2026 J jnl
GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision.
CoRR
Lang Sun, Ronghao Fu, Zhuoran Duan, Haoran Liu, Xueyan Liu, Bo Yang
2026 J jnl
Grouping-enhanced personalization for federated recommendation.
Inf. Process. Manag.
Linrui Shen, Anchen Li, Xueyan Liu, Riting Xia, Bo Yang
2025 J jnl
A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design.
CoRR
Hao Tuo, Yan Li, Xuanning Hu, Haishi Zhao, Xueyan Liu, Bo Yang
2025 A conf
GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs.
CIKM
Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang
2025 J jnl
Incomplete Graph Learning: A Comprehensive Survey.
CoRR
Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025 J jnl
Incomplete graph learning: A comprehensive survey.
Neural Networks
Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025 — conf
MVSGAE: Multi-head Variational Signed Graph Auto-Encoder.
APWeb-WAIM (1)
Yonghe Gu, Xueyan Liu, Zhuoran Duan, Anchen Li, Riting Xia, Bo Yang
2025 J jnl
Stochastic Block Models for Complex Network Analysis: A Survey.
ACM Trans. Knowl. Discov. Data
Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Yang Li, Xuehua Zhao, Bo Yang
2025 J jnl
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label.
CoRR
Riting Xia, Rucong Wang, Yulin Liu, Anchen Li, Xueyan Liu, Yan Zhang
2024 J jnl
A novel graph oversampling framework for node classification in class-imbalanced graphs.
Sci. China Inf. Sci.
Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang
2024 J jnl
Attribute imputation autoencoders for attribute-missing graphs.
Knowl. Based Syst.
Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang
2024 J jnl
Item Attribute-aware Graph Collaborative Filtering.
Expert Syst. Appl.
Anchen Li, Xueyan Liu, Bo Yang
2024 A* conf
Zero-shot Image Classification with Logic Adapter and Rule Prompt.
WWW
Dongran Yu, Xueyan Liu, Bo Yang
2023 A* conf
A Counterfactual Collaborative Session-based Recommender System.
WWW
Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
2023 J jnl
A Novel Neural-symbolic System under Statistical Relational Learning.
CoRR
Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang
2023 J jnl
A survey of sum-product networks structural learning.
Neural Networks
Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang
2023 A* conf
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.
WWW
Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
2022 J jnl
Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web
Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin
2021 J jnl
A Scalable Redefined Stochastic Blockmodel.
ACM Trans. Knowl. Discov. Data
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
2021 J jnl
A block-based generative model for attributed network embedding.
World Wide Web
Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
2021 C conf
DNEA: Dynamic Network Embedding Method for Anomaly Detection.
KSEM
Xuan Zang, Bo Yang, Xueyan Liu, Anchen Li
2021 J jnl
Hyperbolic node embedding for signed networks.
Neurocomputing
Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang
2021 J jnl
Interpretable Variational Graph Autoencoder with Noninformative Prior.
Future Internet
Lili Sun, Xueyan Liu, Min Zhao, Bo Yang
2020 J jnl
A Block-based Generative Model for Attributed Networks Embedding.
CoRR
Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang
2020 J jnl
Robust stochastic block model.
Neurocomputing
Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang
2020 J jnl
Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst.
Xueyan Liu, Wenzhuo Song, Katarzyna Musial, Xuehua Zhao, Wanli Zuo, Bo Yang
2018 — conf
Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.
KSEM (2)
Xuehua Zhao, Hua Chen, Xueyan Liu, Xu Tan, Wenzhuo Song
2018 J jnl
Coupled Low Rank Approximation for Collaborative Filtering in Social Networks.
IEEE Access
Xianglin Zuo, Xueyan Liu, Bo Yang
2018 J jnl
Learning node and edge embeddings for signed networks.
Neurocomputing
Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, Xueyan Liu
2017 J jnl
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis.
IEEE Trans. Knowl. Data Eng.
Bo Yang, Xueyan Liu, Yang Li, Xuehua Zhao
2015 A* conf
Bayesian Approach to Modeling and Detecting Communities in Signed Network.
AAAI
Bo Yang, Xuehua Zhao, Xueyan Liu
2015 — conf
Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.
CCTA (1)
Xuehua Zhao, Xueyan Liu, Daoliang Li, Huiling Chen, Shuangyin Liu, Xinbin Yang, Shaobin Zhan, Wenyong Zhao