基本情况：

刘康，男，博士，校聘副教授
       研究方向：多模态内容分析、个性化推荐系统、医疗大数据挖掘与分析
       教授课程：健康医疗大数据
       工作单位：yL23411永利官网登录4楼，卫生信息系
       电子邮箱：kangliu1225@gmail.com
       教育经历：
       2018.09 – 2023.06  合肥工业大学 计算机与信息学院  工学博士
       2013.09 – 2017.07  中国地质大学 信息工程学院  工学学士
       工作经历：
       2024.01 – 至今 yL23411永利官网登录 卫生信息系
       科研情况：
       参与国家自然科学基金面上项目1项，目前已在多模态内容分析和推荐系统等相关领域发表论文9篇。目前主要从事医疗大数据分析、多模态推荐算法相关的研究工作。
       发表论文：
       [1]. Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong. MEGCF: Multimodal entity graph collaborative filtering for personalized recommendation. ACM Transactions on Information Systems, 2022. (CCF A类，中科院2区)
       [2]. Kang Liu, Feng Xue, Dan Guo, Peijie Sun, Shengsheng Qian, Richang Hong. Multimodal Graph Contrastive Learning for Multimedia-based Recommendation. IEEE Transactions on Multimedia, 2023. (CCF B类，中科院1区Top)

[3]. Kang Liu, Feng Xue, Xiangnan He, Dan Guo, Richang Hong. Joint multi-grained popularity-aware graph convolution collaborative filtering for recommendation. IEEE Transactions on Computational Social Systems, 2022. (中科院2区)

[4]. Kang Liu, Feng Xue, Shuaiyang Li, Sheng Sang, Richang Hong. Multimodal Hierarchical Graph Collaborative Filtering for Multimedia-Based Recommendation. IEEE Transactions on Computational Social Systems, 2022. (中科院2区)
       [5]. Kang Liu, Feng Xue, Richang Hong. RGCF: Refined graph convolution collaborative filtering with concise and expressive embedding. Intelligent Data Analysis, 2022. (中科院4区)
       [6]. Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue. Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. SIGIR 2023. (CCF A类会议)
       [7]. Feng Xue, Tian Yang, Kang Liu, Zikun Hong, Mingwei Cao, Dan Guo, Richang Hong. LCSNet: End-to-End Lipreading with Channel-aware Feature Selection. ACM Transactions on Multimedia Computing, Communications, and Applications, 2022. (CCF B类，中科院3区)
       [8]. 薛峰, 盛一城, 刘康, 桑胜. 隐式知识图协同过滤模型. 模式识别与人工智能, 2022. (CCF B类中文期刊)
       [9]. Feng Xue, Wenjie Zhou, Zikun Hong, Kang Liu. Multi-stage Knowledge Propagation Network for Recommendation[C]//Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction: 6th China Conference, CCKS 2021. (EI检索会议)
       [10]. 薛峰, 刘康, 张涛, 盛一城, 基于多粒度流行度特征的轻量级图卷积协同过滤推荐方法: CN202110612684.0 2021-06（专利）
       社会兼职：
       1. Information Science 审稿人
       2. ACM Transactions on Information Systems 审稿人
       3. IEEE Transactions on Knowledge Data Engineering 审稿人