部分论文
1. Wei Xiao, Qifeng Zhou*, PT4Rec: a universal prompt-tuning framework for graph contrastive learning-based recommendations, Machine Learning, 2025 (114). (SCI)
2. Lei Chen, Qifeng Zhou*, Debo Zhao, k-plex-based community detection with graph neural networks, Information Sciences, 2025(689). (SCI, JCR TOP期刊)
3. Xiang Li, Xinxi Jiang, Qifeng Zhou*, Commonsense knowledge enhanced event graph representation learning for script event prediction. Machine Learning, 2025(114). (SCI)
4. Wanyuan Gong, Qifeng Zhou*, Contrastive learning-based few-shot relation extraction with open-book datastore, Applied Soft Computing, 167, Part B, 2024(167),112302, (SCI, JCR TOP期刊)
5. Xinxi Jiang, Xiang Li, Qifeng Zhou*, Qing Wang. GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text. Companion Proceedings of the ACM on Web Conference (WWW), 2024.
6. 倪进鑫,蒋晨辉,周绮凤*.基于注意力和图网络的多粒度脚本事件推理方法.5357拉斯维加斯官网学报（自然科学版）,2024,63(2):199-208
7. Hao Liang, Qifeng Zhou*. Document-Level Relation Extraction with Distance-Dependent Bias Network and Neighbors Enhanced Loss. Proceedings on European Conference on Information Retrieval(ECIR)，2023: 605-621.
8. Shen Yang, Qifeng Zhou*, Qing Wang, Clustering of Bandit with Frequency-Dependent Information Sharing. Proceedings on European Conference on Information Retrieval(ECIR)，2023: 274-287.
9. 林舟,周绮凤*.基于关键信息指导的文本摘要模型，东北大学学报（自然科学版）, 2023 (9): 1251-1258.
10. Chenhui Jiang, Qifeng Zhou*, Jiayan Lei, Xinhon Wang. A Two-Stage Structural Damage Detection Method Based on 1D-CNN and SVM. Applied Sciences. 2022; 12(20):10394. (SCI)
11. Chaojie An, Qifeng Zhou*, Shen Yang, A Reinforcement Learning Guided Adaptive Cost-sensitive Feature Acquisition Method, Applied soft computing, 2022,117(2):21-30. (SCI, JCR TOP期刊)
12. Qifeng Zhou*, Xiang Liu, Qing Wang, Interpretable Duplicate Question Detection Models Based on Attention Mechanism, Information Sciences, 2021.1(543): 259-272. (SCI, JCR TOP期刊)
13. Mingrong Tang, Jinxin Ni, Qifeng Zhou*, A pddl based disaster storyline generation approach. Proceedings of Chinese Control Conference, 2020.
14. Ruifeng Yuan, Jinxin Ni, Qifeng Zhou*. Generating Multimedia Storyline for Effective Disaster Information Awareness. IEEE Access, 2019: 47401-47410. (SCI)
15. Qifeng Zhou*, Ruyuan Han, Tao Li, Bin Xia. Joint prediction of time series data in inventory management, Knowledge and Information Systems, 2019, 61(2): 905-929. (SCI)
16. Rifeng Yuan, Qifeng Zhou*, Zhou W, et al. dTexSL: A dynamic disaster textual storyline generating framework[J]. World Wide Web, 2019, 22(5): 1913-1933. (SCI)
17. Jinxin Ni, Xiang Liu, Qifeng Zhou, Langcai. A Knowledge Graph based Disaster Storyline Generation Framework. Proceedings of Chinese Control and Decision Conference, 2019.
18. Qifeng Zhou, Hao Zhou, Tao Li*, Cost-sensitive Feature Selection using Random Forest: Selecting Low-Cost Subsets of Informative Features. Knowledge-Based Systems, 95(2):1-11, 2016 (ESI Top 1%).(SCI, JCR TOP期刊)
19. Yang Fan, Li Tao, Zhou Qifeng*, Xiao Han. Cluster ensemble selection with constraints. Neurocomputing, 2017, 235: 59-70. (SCI, JCR TOP期刊)
20. 周绮凤，李涛，从政策驱动到技术践行：大数据开辟可持续发展研究新途径, 大数据，2016013-1.
21. Qifeng Zhou*, Hao Zhou, Qingqing Zhou, Fan Yang, Linkai Luo, Structural damage detection based on posteriori probability support vector machine and Dempster–Shafer evidence theory. Applied Soft Computing, Volume 36:368-374, 2015. (SCI, JCR TOP期刊)
22. Qifeng Zhou, Hao Zhou, Yongpeng Ning, Fan Yang*, Two Approaches for Novelty Detection using Random Forest. Expert Systems With Applications, 42(10):4840-4850, 2015. (SCI, JCR TOP期刊)
23. Qifeng Zhou*, Hao Zhou, Yongpeng Ning, Fan Yang, Linkai Luo, Structure Damage Detection Based on Random Forest Recursive Feature Elimination. Mechanical Systems and Signal Processing. 46(1):82-90, 2014. (SCI, JCR TOP期刊)
24. Qifeng Zhou*, Yongpeng ning, Qingqing Zhou, Jiayan Lei, Structural Damage Detection Method Based on Random Forests and Data Fusion. Structural Health Monitoring--An International Journal, 12(1):48-58, 2013. (SCI, JCR TOP期刊)
专利：
1. 周绮凤; 江信禧 ; 一种社交媒体危机事件预测方法及系统, 2024-5-31, 中国, ZL 2022 1
0201984.4 (专利)
2. 周绮凤; 倪进鑫; 安超杰 ; 一种灾难故事线构建方法及装置, 2023-07-18, 中国,CN201811382046.9 (专利)
3. 周绮凤; 李涛; 韩如愿; 郑理; 李磊 ; 一种入库量和出库量的联合预测方法, 2021-03-09, 中国, ZL2017 1 0294893.9 (专利)
1. 科技部国家重点研发计划“数学与应用研究”重点专项课题, 浮式垂直轴风力机风场大规模高效数值格式与优化算法研究, 2024-12 至 2029-11, 主持
2. 国家自然科学基金面上项目, 基于社会化媒体大数据的灾害事件知识优化表示和复杂关系表达研究, 2022-01-01 至 2025-12-31, 主持
3. 福建省基金面上项目，基于大数据的灾难信息提取与挖掘研究，2017-04至2020-04，主持
4. 深圳市科技计划基础研究项目，基于时空大数据的突发事件中城市群体移动轨迹分析与预测，2017-07至2019-06, 主持
5. 国家自然科学基金青年项目，基于数据驱动的建筑环境影响评价关键问题研究，2016-01至2018-12，主持
6. 中国船舶重工集团海装风电股份有限公司技术研发项目，风电机组结构状态在线监测与可靠性实时评估技术, 2022-12 至 2023-12, 参与
7. 中国航发湖南动力机械研究所技术研发项目, 基于混合驱动的航空发动机气路故障诊断研究, 2022-12 至 2023-12, 参与
8. 厦门航空有限公司技术研发项目, 航班额外油预测, 2020-12 至 2022-06, 参与
周绮凤(4/7); 带健康状态预测的水轮机调速系统研究, 中国水力发电工程协会/水电发电科学技术奖励委员会, 其他, 其他, 2019(林秉良; 陈启明; 蔡天富; 周绮凤; 杨炳良; 林茂; 林飞) (科研奖励)
2. Qifeng Zhou(1/3); Cost-sensitive Feature Selection using Random Forest: Selecting Lower Cost Subsets of Informative Features,福建省第十三届自然科学优秀学术论文奖, 福建省科学技术协会/福建省科技厅, 2018(Qifeng Zhou; Hao Zhou; Tao Li) (科研奖励)
