个人简介：
檀彦超，女，讲师（校聘副教授）
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。曾在KDD、NeurIPS、SIGIR、ICDE、TKDE、WWW、MM、IJCAI等CCF A类会议/期刊上发表了多篇学术论文，同时也是TKDE、TBD、AAAI、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，对推荐系统、智慧医疗、人工智能、多模态融合、大语言模型、图神经网络感兴趣的研究生和本科生与我联系。
办公地址：计算机与大数据学院2号楼302。
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) 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
3) 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
4) 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
科研成果：
1) 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)
2) 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)
3) 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)
4) 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)
5) 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)
6) 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)
7) Zhenghong Lin, Yanchao Tan, 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)
8) Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan: Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. The Web Conference (WWW), 2023. (CCF A)
9) Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Carl Yang: Finding High-quality Item Attributes for Recommendation. Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)
10) Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi: HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. The 32nd International Joint Conference on Artificial Intellingence (IJCAI), 2023. (CCF A)
11) Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng: Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. The 32nd International Joint Conference on Artificial Intellingence (IJCAI), 2023. (CCF A)
12) Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo: Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. 2023 ACM Multimedia (MM). (CCF A)
13) Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng: Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. 2023 ACM Multimedia (MM). (CCF A)
14) Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang: Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. 2023 ACM Multimedia (MM). (CCF A)
15) Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen: Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)
16) Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Carl Yang, Yanchao Tan: Automatic Hypergraph Generation for Enhancing Recommendation with Sparse Optimization (IEEE Transactions on Multimedia), 2023. (中科院一区, CCF B)
