方慧

个人简介

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方慧，上海财经大学信息管理与工程学院常任教授，博士生导师，2015年博士毕业于新加坡南洋理工大学计算机与工程学院。主要研究领域为可信推荐系统、金融和健康大数据、社交网络及复杂网络数据分析，尤为关注其中的可解释性、公平性和隐私保护问题等。获选2023年上海市启明星项目，主持国家自然科学基金青年及面上项目和上海市科委面上项目各1项，作为主要参与人参与国家自然科学基金重大项目子项目1项，且负责参与多项校企合作横向项目，包括招行、蚂蚁金融、益盟等。近5年来在人工智能和计算机顶级国际期刊如Artificial Intelligence Journal、IEEE Transactions on Pattern Analysis and Machine Intelligence、ACM Transactions on Information Systems、IEEE Transactions on Knowledge and Data Engineering、IEEE/ACM Transactions on Networking以及国际顶级会议NeurIPS、CIKM、AAAI、ICDE、SIGIR等发表论文20多篇。目前担任国际期刊Electronic Commerce Research and Applications的Senior Editor， ACM Transactions on Recommender Systems的Distinguished Reviewer，IJCAI2022-2024 PC Board成员，Recsys2023 Reproducibility Track及UMAP2024 Research Methods和Reproducibility Track的co-chair，长期承担IJCAI、AAAI、AAMAS、UMAP、Recsys、WWW等国际会议的PC（SPC）以及DSS、TKDE、TOIS、ICIS等期刊/会议的审稿人。中国人工智能技术与管理应用委员会委员。

2015, 新加坡南洋理工大学计算机工程学院, 博士

2010, 南京大学信息管理系, 硕士

2008, 南京大学信息管理与信息系统, 学士

教授课程

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机器学习与深度学习（2017-），研究生

深度学习 （2017-），本科生和博士生

数据分析与数据可视化 （2021-），本科生

商务智能之数据可视化，MEM

管理信息系统，本科生

信息系统导论，本科生

2024.01-2027.12，主持，国家自然科学基金面上项目，72371148，基于多模态数据的可解释和隐私保护序列推荐系统研究

2023.04-2026.03，主持，上海市科委启明星项目（A类），23QA1403100，可信推荐系统

2022.01-2026.12，参与，国家自然科学基金重大项目，72192832，制造循环工业系统（MCIS）供需风险识别与管理机制研究

2021.07-2024.06，主持，上海市科委面上项目，21ZR1421900，融合多源数据的可解释推荐系统

2017.01-2019.12，主持，国家自然科学基金青年项目，71601104，基于信任理论与机器学习的在线评价质量评估模型研究

2018-2022，International Collaborator, Singapore MOE AcRF Tier 1 “Link Prediction in Signed Social Networks"

代表论文

完整列表请参照google scholar profile。

期刊论文：

Zhu Sun, Hui Fang*, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-soon Ong, and Jie Zhang, “DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation", Transactions on Pattern Analysis and Machine Intelligence, 45(7): 8206-8226, 2023, doi: 10.1109/TPAMI.2022.3231891.

Yuxin Ni, Yunwen Xia, Hui Fang*, Chong Long, Xinyu Kong, Daqian Li, Yang Dong, and Jie Zhang, “MetaCRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System", ACM Transactions on Information Systems, doi: doi.org/10.1145/3604804, 2023.

Qing Yin, Hui Fang*, Zhu Sun, and Yew-Soon Ong, “Understanding Diversity in Session-Based Recommendation", ACM Transactions on Information Systems, 2023, doi: doi.acm.org?doi=3600226.

Huizi Wu, Cong Geng, and Hui Fang*, “Causality Graph Modeling for Effective and Explainable Sessionbased Recommendation", ACM Transactions on the Web (TWEB), 2023, doi: doi.acm.org?doi=3593313.

Qiang He, Hui Fang, Jie Zhang, and Xingwei Wang. “Dynamic Opinion Maximization in Social Networks”, IEEE Transactions on Knowledge and Data Engineering, 35(1): 350-361, 2023.

Hui Fang, Xiaoming Li, and Jie Zhang. “Integrating Social Influence Modeling and User Modeling for Trust Prediction in Signed Networks", Artificial Intelligence, 302: 103628, 2022.

Hui Fang, Danning Zhang, Yiheng Shu, and Guibing Guo. “Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations", ACM Transactions on Information Systems (TOIS), 39 (1): 1-42, 2020.

Hui Fang, Guibing Guo and Jie Zhang. “Multi-faceted Trust and Distrust Prediction for Recommender Systems”. Decision Support Systems (DSS), 71:37-47, 2015. 

Hui Fang, Jie Zhang, Yang Bao and Qinghua Zhu. “Towards Effective Online Review Systems inthe Chinese Context: A Cross-Cultural Empirical Study”. Electronic Commerce Research and Applications (ECRA), 12 (3): 208-220, 2013. 

会议论文:

Qingtian Bian, Jiaxing Xu, Hui Fang, and Yiping Ke. “CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning”, in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023.

Huizi Wu, Hui Fang*, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong. “A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation", in Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE), 2023.

Zhu Sun, Jie Yang, Kaidong Feng*, Hui Fang*, Xinghua Qu, Yew-Soon Ong. “Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling", in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022.

Xiaoming Li, Hui Fang*, and Jie Zhang. “SupervisedUser Ranking in Signed SocialNetworks”, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.

Hui Fang, Hailiang Huang, Gujie Li, and Yanhong Li. “Learning from Mistakes: Constructing and Mining Misdiagnosis Database to Reduce Cognitive Error". In Proceedings of the 39th International Conference on Information Systems (ICIS), 2018.

Xiaoming Li, Hui Fang*, and Jie Zhang. “FILE: A Novel Framework for Predicting Social Status in Signed Networks”. In Proceedings of the 32rd AAAI Conference on Artificial Intelligence (AAAI), 2018

Yang Bao, Hui Fang*, and Jie Zhang. “TopicMF: Simultaneously Exploiting Ratings and Reviewsfor Recommendation”. In Proceedings of the 28th AAAI Conference on ArtificialIntelligence (AAAI), 2014. 

Hui Fang, Yang Bao, and Jie Zhang. “Leveraging Decomposed Trust in Probabilistic MatrixFactorization for Effective Recommendation”. In Proceedings of the 28th AAAIConference on Artificial Intelligence (AAAI),2014. 

Hui Fang, Jie Zhang and Nadia Magnenat-Thalmann. “Subjectivity Grouping: Learning from Users’Rating Behavior”. In Proceedings of the 13th International Joint Conference onAutonomous Agents and Multiagent Systems (AAMAS),pages 1241-1248, 2014.

Hui Fang, Yang Bao, and Jie Zhang. “Misleading Opinions Provided by Advisors: Dishonesty orSubjectivity”. In Proceedings of 23rd International Joint Conference onArtificial Intelligence (IJCAI),2013. 

Hui Fang, Jie Zhang and Nadia Magnenat Thalmann. “A Trust Model Stemmed from the DiffusionTheory for Opinion Evaluation”. In Proceedings of the 12th International JointConference on Autonomous Agents and Multiagent Systems (AAMAS), pages 805-812, 2013. 

荣誉奖励

上海财经大学巾帼新秀（2023）

上海财经大学本科优秀毕业论文指导老师，2017, 2023

上海市科技进步二等奖，2022（7/10）

Outstanding Reviewer, Electronic Commerce Research and Applications journal, Elsevier, 2016

Google Anita Borg Memorial Scholarship (1 of 15 Recipients), Asia, 2012

IJCAI Travel Scholarship, 2013

SIGART AAMAS Travel Scholarship, 2012 and 2013

DragonVenture-NTU Scholarship (1 of 10 Recipients), 2011