丰小月 副教授
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，副教授。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。
【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40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 2024. Accept. (WWW 2024) (CCF A)
[2] 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）
[3] 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)
[4] 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)
[5] 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)
[6] 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)
[7] 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)
[8] 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. (SCI, CCF B) (CCF B)
[9] 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 2022, Lyon, France, 25-29 April, 2022, 348-359. (WWW2022) (CCF A)
[10] Yonghao Liu, Renchu Guan, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng*(Corresponding Author). Deep Attention Diffusion Graph Neural Networks for Text Classification. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 21), Punta Cana, Dominican Republic, Association for Computational Linguistics, 2021, 8142-8152. (CCF B)
