Yuhua Mo

According to our database, Yuhua Mo authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

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., August, 2025

Research and Application of Data-driven Cigarette Retailer Classification: A Grid-Based Approach.

Yuhua Mo, Paiyu Li, Xipeng Liu, Lili Zhu, Meng Liu, Liangben Xu

Proceedings of the 2025 4th International Conference on Big Data, 2025

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

A consumption situation perception system for the product market based on big data technology.

Chao Deng, Xipeng Liu, Jinyu Zhang, Yuhua Mo, Bin Lu, Xuexia Liang, Yue Gu, Jun Liang

Proceedings of the 2024 4th International Conference on Big Data, 2024

Product Sales Forecasting Model Driven by Multi-Source Data Integration Based on XGBoost.

Xuexia Liang, Bin Lu, Chao Deng, Yue Gu, Kaidi Chen, Yuhua Mo, Liangben Xu, Paiyu Li, Xipeng Liu, Meng Liu

Proceedings of the Fuzzy Systems and Data Mining X, 2024

Research on the Impact of Tobacco Consumer Brand Migration Behavior Based on Andersen-Gill Model.

Weili Kong, Lili Zhu, Wei Wang, Yuhua Mo, Yue Li, Longsheng Yin

Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024

2023

Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems.

Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, Goce Trajcevski

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

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

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction.

Wenxin Tai, Ting Zhong, Yuhua Mo, Fan Zhou

IEEE Signal Process. Lett., 2022

2020

Recommendation via Collaborative Autoregressive Flows.

Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong

Neural Networks, 2020