个人简介：

檀彦超，女，副教授

2022年加入福建省网络计算与智能信息处理重点实验室。研究兴趣包括推荐系统、智慧医疗、数据挖掘、人工智能、机器学习等。在TPAMI、ICML、KDD、NeurIPS、SIGIR、ICDE、TKDE、WWW、MM、IJCAI等CCF A类会议/期刊上发表了三十余篇学术论文，同时也是TKDE、KDD、ICML、NeurIPS、WWW等国际权威期刊/会议的审稿人。

教育背景如下：

2017.09-2022.06 浙江大学，计算机科学与技术，博士，导师：郑小林（合作导师：Carl Yang)

2013.09-2017.06 华东师范大学，计算机科学与技术，本科

招生信息：

实验室名称：IDEA实验室 (Intelligent Data and knowlEdge fusion lAb, 智能数据与知识融合实验室)

目前硕士招生专业：计算机科学与技术、电子信息等。欢迎勤奋好学，具有良好编程能力和英语能力，对智慧医疗、人工智能、大语言模型、多模态融合、推荐系统、图神经网络感兴趣的研究生和本科生与我联系。

联系邮箱：yctan@fzu.edu.cn

科研项目：

1) 2024.01 - 2026.12，人机协同感知的可解释多模态服务推荐方法研究，国家自然科学基金委青年项目，主持

2）2025.05 - 2028-04，多源数据与知识双轮驱动的辅助诊疗关键技术研究，福建省自然科学基金面上项目，主持

3) 2022.01–2025.12，跨域服务推荐系统研究，国家自然科学基金委面上项目，参与

4) 2020.11–2021.10， CCF-蚂蚁科研基金项目，金融序列数据建模研究，参与

5) 2019.07–2022.06，大数据征信及智能评估技术，国家重点研发计划项目，参与

部分科研成果：

1) Yanchao Tan, Hang Lv, Pengxiang Zhan, Shiping Wang, Carl Yang: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A类期刊，影响因子:18.6)

2) Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang. BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare[C]. Forty-second International Conference on Machine Learning (ICML), 2025. (CCF-A类会议)

3) Hang Lv, Zixuan Guo, Zijie Wu, Yanchao Tan (通讯作者), Guofang Ma, Zhigang Lin, Xiping Chen, Hong Cheng, Carl Yang. MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment[C]. Proceedings of the 33rd ACM International Conference on Multimedia, 2025. (CCF-A类会议)

4) Zhenghong Lin, Yanchao Tan (通讯作者) , Jiamin Chen, Hengyu Zhang, Chaochao Chen, Shiping Wang, Carl Yang: Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation [J]. ACM Transactions on Information Systems (TOIS) 2025. (CCF-A类期刊)

5) Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang:Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. The 40th IEEE International Conference on Data Engineering (ICDE), 2024. (CCF-A类会议)

6) Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan (通讯作者): Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. IJCAI 2024. (CCF-A类会议)

7) Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan (通讯作者): TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering. NeurIPS, 2024. (CCF-A类会议)

8) Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan (通讯作者), Jiazheng Xing: HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. ACM Multimedia 2024. (CCF-A类会议)

9) Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang: WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NeurIPS, 2023. (CCF-A类会议)

10) Zhenghong Lin, Yanchao Tan (通讯作者), YunFei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang: Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. 2023 ACM Multimedia (MM). (CCF A)

11) Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng: Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. The 38th IEEE International Conference on Data Engineering (ICDE), 2022. (CCF-A类会议)

12) Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Viciki S Hertzberg, Carl Yang: 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. (CCF-A类会议)

13) Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng: MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF-A类会议)

14) 檀彦超，郑小林，魏翔宇，阳及，基于度量学习的多空间推荐系统. 计算机学报，2022, 45. (CCF A)

15) Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng: Multi-Facet Recommender Networks with Spherical Optimization. The 37th IEEE International Conference on Data Engineering (ICDE), 2021. (CCF-A类会议)