Recommendation via Collaborative Autoregressive Flows. - Fan Zhou 002; Yuhua Mo; Goce Trajcevski; Kunpeng Zhang 001; Jin Wu 002; Ting Zhong (Neural Networks, 2020)

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. - Wenxin Tai; Ting Zhong; Yuhua Mo; Fan Zhou 002 (IEEE Signal Process. Lett., 2022)

Retail Potential Evaluation Model Based on Business Circle Population Characteristics and Decision Tree Classification. - Kaidi Chen; Liangben Xu; Jiong Yang; Yuhua Mo; Yuankun Li; Paiyu Li (BDEIM, 2023)

Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems. - Fan Zhou 002; Tangjiang Qian; Yuhua Mo; Zhangtao Cheng; Chunjing Xiao; Jin Wu 002; Goce Trajcevski (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Research on the Impact of Tobacco Consumer Brand Migration Behavior Based on Andersen-Gill Model. - Weili Kong; Lili Zhu; Wei Wang 454; Yuhua Mo; Yue Li; Longsheng Yin (DSAI, 2024)

Product Sales Forecasting Model Driven by Multi-Source Data Integration Based on XGBoost. - Xuexia Liang; Bin Lu; Chao Deng 001; Yue Gu; Kaidi Chen; Yuhua Mo; Liangben Xu; Paiyu Li; Xipeng Liu; Meng Liu (FSDM, 2024)

A consumption situation perception system for the product market based on big data technology. - Chao Deng 001; Xipeng Liu; Jinyu Zhang; Yuhua Mo; Bin Lu; Xuexia Liang; Yue Gu; Jun Liang (ICBAR, 2024)

Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach. - Chao Deng; Xuexia Liang; Xu Yan; Yuhua Mo; Sen Bai; Bin Lu; Kaidi Chen; Xipeng Liu; Zhi Chen (IEEE Access, 2024)

Adaptive multi-round retrieval with knowledge distillation for sequential recommendation. - Yuhua Mo; Yang Liu; Chaowen Ye; Zhangtao Cheng; Chao Deng; Zhencheng Zhuo; Kaidi Chen; Fan Zhou (J. Intell. Inf. Syst., 2025)