A fast and scalable supervised topic model using stochastic variational inference and MapReduce. - Wenzhuo Song; Bo Yang 002; Xuehua Zhao; Fei Li (IC-NIDC, 2016)

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)

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)

Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing. - Yang Li 030; Wen-Zhuo Song; Bo Yang 002 (J. Comput. Sci. Technol., 2018)

Hyperbolic Node Embedding for Signed Networks. - Wenzhuo Song; Shengsheng Wang 001 (CoRR, 2019)

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

Next-item Recommendations in Short Sessions. - Wenzhuo Song; Shoujin Wang; Yan Wang 002; Shengsheng Wang 001 (RecSys, 2021)

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

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. - Shoujin Wang; Xiaofei Xu; Xiuzhen Zhang 001; Yan Wang 002; Wenzhuo Song (WWW, 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)

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

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation. - Yaowen Bi; Yuteng Lian; Jie Cui; Jun Liu; Peijian Wang; Guanghui Li; Xuejun Chen; Jinglin Zhao; Hao Wen; Jing Zhang; Zhaoqi Zhang; Wenzhuo Song; et al. (CoRR, 2024)

Dual-Tower Counterfactual Session-Aware Recommender System. - Wenzhuo Song; Xiaoyu Xing (Entropy, 2024)

Weakly supervised label learning flows. - You Lu 003; Wenzhuo Song; Chidubem Arachie; Bert Huang (Neural Networks, 2025)

Transforming Education With Generative AI (GAI): Key Insights and Future Prospects. - Qi Lang; Minjuan Wang; Minghao Yin; Shuang Liang 003; Wenzhuo Song (IEEE Trans. Learn. Technol., 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)