教师名录
近五年主要科研成果：
一、学术论文：
[1]任豪, 刘柏嵩*, 孙金杨, 董倩, 钱江波. 基于时间和关系感知的图协同过滤跨域序列推荐. 计算机研究与发展, 2023,60(1):112-124.
[2]Wei Liu, Baisong Liu*, Jiangcheng Qin, Xueyuan Zhang, Weiming Huang and Yangyang Wang. Fairness identification of large language models in recommendation. Scientific Reports, 2025, 15:1-11.
[3]Yunchong Zhang, Baisong Liu*, Jiangbo Qian. FedPJF: federated contrastive learning for privacy-preserving person-job fit[J]. Applied Intelligence, 2023,53: 27060–27071.
[4]Jiangcheng Qin, Baisong Liu*, Xueyuan Zhang and Jiangbo Qian. A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model[J]. Journal of Cloud Computing-Advanced Systems and Applications, 2023, 12(1):1-17.
[5]Weiming Huang, Baisong Liu*, Zhaoliang Wang. A novel interest drift sensitivity academic paper recommender based on implicit feedback. Egyptian Informatics Journal, 2024, 28: 1-10.
[6]Wei Xiao, Baisong Liu, Wenting Yin. Security authentication scheme based on chebyshev chaotic mapping for library network. Alexandria Engineering Journal, 2024, 109:262-269.
[7]Shiqi Wu ,Baisong Liu*, Xueyuan Zhang, Xiaowen Shao, Chennan Lin. MTrans: M-Transformer and Knowledge Graph-Based Network for Predicting Drug–Drug Interactions[J]. Electronics, 2024, 13(15): 1-19.
[8]Weiming Huang, Baisong Liu*, Zhaoliang Wang. A Metric Learning Perspective on the Implicit Feedback-Based Recommendation Data Imbalance Problem[J]. Electronics, 2024,13(2): 1–18.
[9]Qian Dong, Baisong Liu*, Xueyuan Zhang, Jiangcheng Qin and Bingyuan Wang.Sequential POI Recommend Based on Personalized Federated Learning[J]. Neural Processing Letters, 2023, 55(6):7351–7368.
[10]Weiming Huang, Baisong Liu*, Zhaoliang Wang. Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System[J]. CMC-Computers, Materials & Continua, 2024:1-18.
二、项目课题：
[1]宁波市2025重大专项科研项目，基于知识图谱的技术转移服务平台研发及应用，20211ZDYF020036，2021.01-2023.12，主持；
[2]宁波市自然科学基金项目，基于联邦深度学习的隐私增强个性化推荐关键技术研究，2021J091，2021.12-2024.11，主持；
[3]横向课题，基于5G和AI的数字化基础设施云运维平台的研发，HK2022000189，2021.12-2023.12，主持；
[4]宁波市委改革办，“大脑”定义内涵、建设模式与系统架构研究——基于“强港大脑”“新材云创”“新材料科创大脑”的分析，HS2022000130，2022.06-2022.12，主持。
三、获奖情况：
1. 2024年，指导研究生获得浙江省研究生优秀实践成果
2. 2024年，指导研究生获得全国研究生数学建模竞赛二等奖3项和三等奖1项
3.2024年，指导学生获得中国国际大学生创新大赛（2024）国赛金奖
4.2024年，指导学生获得第十四届“挑战杯”中国大学生创业计划竞赛国赛金奖