Bayesian Approach to Modeling and Detecting Communities in Signed Network. - Bo Yang 002; Xuehua Zhao; Xueyan Liu 001 (AAAI, 2015)

Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition. - Xuehua Zhao; Xueyan Liu 001; Daoliang Li; Huiling Chen 001; Shuangyin Liu; Xinbin Yang; Shaobin Zhan; Wenyong Zhao (CCTA (1), 2015)

Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis. - Bo Yang 002; Xueyan Liu 001; Yang Li 030; Xuehua Zhao (IEEE Trans. Knowl. Data Eng., 2017)

Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links. - Xuehua Zhao; Hua Chen; Xueyan Liu 001; Xu Tan; Wenzhuo Song (KSEM (2), 2018)

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks. - Xianglin Zuo; Xueyan Liu 001; Bo Yang 002 (IEEE Access, 2018)

Learning node and edge embeddings for signed networks. - Wenzhuo Song; Shengsheng Wang 001; Bo Yang 002; You Lu 003; Xuehua Zhao; Xueyan Liu 001 (Neurocomputing, 2018)

A Block-based Generative Model for Attributed Networks Embedding. - Xueyan Liu 001; Wenzhuo Song; Wanli Zuo; Katarzyna Musial; Bo Yang 002 (CoRR, 2020)

Robust stochastic block model. - Zhijuan Xu; Xueyan Liu 001; Xianjuan Cui; Ximing Li; Bo Yang 002 (Neurocomputing, 2020)

Semi-supervised stochastic blockmodel for structure analysis of signed networks. - Xueyan Liu 001; Wenzhuo Song; Katarzyna Musial; Xuehua Zhao; Wanli Zuo; Bo Yang 002 (Knowl. Based Syst., 2020)

DNEA: Dynamic Network Embedding Method for Anomaly Detection. - Xuan Zang; Bo Yang 002; Xueyan Liu 001; Anchen Li (KSEM, 2021)

Interpretable Variational Graph Autoencoder with Noninformative Prior. - Lili Sun; Xueyan Liu 001; Min Zhao; Bo Yang 002 (Future Internet, 2021)

Hyperbolic node embedding for signed networks. - Wenzhuo Song; Hongxu Chen 002; Xueyan Liu 001; Hongzhe Jiang; Shengsheng Wang 001 (Neurocomputing, 2021)

A Scalable Redefined Stochastic Blockmodel. - Xueyan Liu 001; Bo Yang 002; Hechang Chen; Katarzyna Musial; Hongxu Chen 002; Yang Li 030; Wanli Zuo (ACM Trans. Knowl. Discov. Data, 2021)

A block-based generative model for attributed network embedding. - Xueyan Liu 001; Bo Yang 002; Wenzhuo Song; Katarzyna Musial; Wanli Zuo; Hongxu Chen 002; Hongzhi Yin (World Wide Web, 2021)

Reinforced KGs reasoning for explainable sequential recommendation. - Zhihong Cui; Hongxu Chen 002; Lizhen Cui; Shijun Liu; Xueyan Liu 001; Guandong Xu; Hongzhi Yin (World Wide Web, 2022)

A Counterfactual Collaborative Session-based Recommender System. - Wenzhuo Song; Shoujin Wang; Yan Wang 002; Kunpeng Liu 001; Xueyan Liu 001; Minghao Yin (WWW, 2023)

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. - Riting Xia; Yan Zhang 052; Chunxu Zhang; Xueyan Liu 001; Bo Yang 002 (WWW, 2023)

A Novel Neural-symbolic System under Statistical Relational Learning. - Dongran Yu; Xueyan Liu 001; Shirui Pan; Anchen Li; Bo Yang 002 (CoRR, 2023)

A survey of sum-product networks structural learning. - Riting Xia; Yan Zhang 052; Xueyan Liu 001; Bo Yang 002 (Neural Networks, 2023)

Zero-shot Image Classification with Logic Adapter and Rule Prompt. - Dongran Yu; Xueyan Liu 001; Bo Yang 002 (WWW, 2024)

A novel graph oversampling framework for node classification in class-imbalanced graphs. - Riting Xia; Chunxu Zhang; Yan Zhang 052; Xueyan Liu 001; Bo Yang 002 (Sci. China Inf. Sci., 2024)

Attribute imputation autoencoders for attribute-missing graphs. - Riting Xia; Chunxu Zhang; Anchen Li; Xueyan Liu 001; Bo Yang 002 (Knowl. Based Syst., 2024)

Item Attribute-aware Graph Collaborative Filtering. - Anchen Li; Xueyan Liu 001; Bo Yang 002 (Expert Syst. Appl., 2024)

Incomplete graph learning: A comprehensive survey. - Riting Xia; Huibo Liu; Anchen Li; Xueyan Liu 001; Yan Zhang 052; Chunxu Zhang; Bo Yang 002 (Neural Networks, 2025)

Stochastic Block Models for Complex Network Analysis: A Survey. - Xueyan Liu 001; Wenzhuo Song; Katarzyna Musial; Yang Li 030; Xuehua Zhao; Bo Yang 002 (ACM Trans. Knowl. Discov. Data, 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 001; Bo Yang 002 (CoRR, 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 001; Yan Zhang 052 (CoRR, 2025)