丰小月 教 授
邮箱：fengxy@jlu.edu.cn
办公地址：王湘浩楼A503室
教研室：机器学习
基本信息
丰小月，教授。2008年于吉林大学计算机学院获博士学位，曾赴意大利特伦托大学、美国密苏里大学访问交流。
主要研究领域：机器学习。目前的研究方向：机器学习、知识图谱、推荐系统、生物信息等。
【博士研究生招生信息】
计算机科学与技术学院：计算机应用技术（学术型）
【硕士研究生招生信息】
·计算机科学与技术学院：计算机应用技术（学术型和专业型）
·软件学院：软件工程（学术型和专业型）
科研成果
近年来，承担国家自然科学基金面上项目1项，国家重点研发计划BT&IT专项、科技创新2030-“新一代人工智能”重大项目子课题各１项，主持完成国家自然科学基金青年项目1项，腾讯校企合作项目１项。在IEEE TKDE，JMIR，BIB，AAAI，IJCAI，WWW，SIGIR，EMNLP，CIKM等CCF A\B类期刊和会议发表论文50余篇。
【代表性论文列表】
[1] Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. Proceedings of the ACM Web Conference, 4249-4259, 2024. (WWW 2024) (CCF A)
[2]Yonghao Liu, Mengyu Li, Di Liang, Fausto Giunchiglia, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. Proceedings of the 33nd International Joint Conference on Artificial Intelligence, Jeju,South Korea, 3-9 August, 4605-4613,2024. (IJCAI2024)(CCF A)
[3]Wenchuan Zhao, Yufeng Yu, Guosheng Liu, Yanchun Liang, Dong Xu, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). MSI-DTI: Predicting Drug-Target Interaction Based on Multi-Source Information and Multi-Head Self-Attention. Briefings in Bioinformatics, 18 May, 2024, 25(3): bbae238. (CCF B)
[4] Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Transactions on Knowledge Discovery from Data, 2024, 18(9):1-30. (CCF B)
[5] Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). Improved Graph Contrastive Learning for Short Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 20th-27th Februrary, Vancover, Canada. 2024, 38(17), 18716-18724. (AAAI 2024)（CCF A）
[6] Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). Local and Global: Temporal Question Answering via Information Fusion. Proceedings of the 32nd International Joint Conference on Artificial Intelligence, 2023, 19th-25th August, Macao. 5141-5149, 2023. (IJCAI2023) (CCF A)
[7] Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng*(Corresponding Author). Cross-Domain Meta-Learner for Cold-Start Recommendation. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8):7829-7843. (CCF A)
[8] Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng*(Corresponding Author). Deep Feature-Based Text Clustering and Its Explanation. IEEE Transactions on Knowledge and Data Engineering, 2022, 31(8):3669-3680. (CCF A)
[9] Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giumchiglia, Xiaoyue Feng*(Corresponding Author), Renchu Guan*(Corresponding Author). Few-shot Node Classification on Attributed Networks with Graph Meta-learning. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July, 2022, 471-481. (SIGIR2022)(CCF A)
[10] Renchu Guan, Haoyu Pang, Fausto Giumchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng*(Corresponding Author). Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July, 2022, 1423-1433. (SIGIR2022)(CCF A)
[11] Renchu Guan, Haoyu Pang, Yanchun Liang, Zhongjun Shao, Xin Gao, Dong Xu, Xiaoyue Feng*(Corresponding Author). Discovering and Hotspots of Biosafety and Biosecurity Research via Machine Learning. Briefings in Bioinformatics, 2022, 23(5): 1-15. bbac194. (CCF B)
[12] Haoyu Pang, Giunchiglia Fausto, Ximing Li, Renchu Guan*(Corresponding Author), Xiaoyue Feng*(Corresponding Author). PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. Proceedings of the ACM Web Conference, Lyon, France, 25-29 April, 2022, 348-359. (WWW2022) (CCF A)
