| Siga: social influence modeling integrating graph autoencoder for rating prediction J Liu, Y Xiao, W Zheng, CH Hsu Applied Intelligence 53 (6), 6432-6447, 2023 | 9 | 2023 |
| Research and implementation of POI recommendation system integrating temporal feature J Liu, X Jiao, Y Jin, X Liu, L Liu 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 287-292, 2018 | 5 | 2018 |
| LCW: A Lightweight Recommendation Framework for Non-profit Crowdfunding Projects J Liu, Y Xiao, W Zheng Proceedings of the 4th International Conference on Computer Science and …, 2021 | 2 | 2021 |
| Quantitative microbial spoilage risk assessment of Aspergillus niger in white bread reveal that retail storage temperature and mold contamination during factory cooling are the … K Chou, J Liu, X Lu, HI Hsiao Food Microbiology 119, 104443, 2024 | 1 | 2024 |
| Development of reference material for the detection of rat ingredient in meat by quantitative real-time PCR C Ji, Y He, X Xu, J Liu, W Liu, X Wang, L Zhao, W Zheng, X Lu Food Bioscience 53, 102800, 2023 | 1 | 2023 |
| Frontiers of machine learning in smart food safety J Liu, J Bensimon, X Lu Academic Press, 2024 | | 2024 |
| The nanoscale organization of the Nipah virus fusion protein informs new membrane fusion mechanisms. Q Wang, J Liu, Y Luo, V Kliemke, GL Matta, J Wang, Q Liu bioRxiv, 2024.02. 07.579372, 2024 | | 2024 |
| Hybrid Variational Autoencoder for Collaborative Filtering J Liu, Y Xiao, K Zhu, W Zheng, CH Hsu 2022 IEEE 25th International Conference on Computer Supported Cooperative …, 2022 | | 2022 |
| Quantitative Microbial Spoilage Risk Assessment of Aspergillus Niger in White Bread Supply Chain K Chou, J Liu, HI Hsiao, X Lu Xiaonan, Quantitative Microbial Spoilage Risk Assessment of Aspergillus …, 0 | | |
