陈伟思，男，生于1988年，博士，厦门市高层次C类人才，现为厦门理工学院讲师，硕士生导师。先后就读于浙江大学、新南威尔士大学（UNSW），随后就职于澳大利亚Intersect公司、悉尼科技大学，于2021年归国入职厦门理工学院。研究方向包括机器学习、深度学习、实时大数据分析、自然语言处理等，有着十余年的学术研究和企业合作的丰富经验。截至2024年，主持各级别科研项目5项、教研教改项目2项，在澳大利亚工作期间曾参与各级别的科研项目4项；发表论文26篇，SCI/EI收录24篇，著作章节1篇；参与起草技术标准1项；指导学生获得A类赛事国家一等奖2项，省一等奖3项。
Email：chenweisi@xmut.edu.cn
QQ：544129049
ResearchGate：https://www.researchgate.net/profile/Weisi-Chen-2
教育背景：
l 2011-2015 澳大利亚新南威尔士大学（UNSW），博士（Ph.D.）
l 2007-2011 浙江大学，工学学士
主要获奖情况：
l 2024年第四届福建省教师教学创新大赛二等奖
l 2023-2024年度厦门理工学院优秀教师
l 2024年厦门理工学院优秀共产党员
主要科研项目：
l 复杂事件处理驱动的实时新闻情感影响预测，福建省自然科学基金项目，负责人，2022年8月-2025年8月
l 文本挖掘和机器学习驱动的产业智能化研究--以智能广告设计、智能新闻情绪影响分析为例，厦门市高层次留学人才项目，负责人，2021年11月-2024年11月
l 实时复杂事件处理智能化——面向领域知识的移动时间窗口连续学习方法及其在金融市场数据的应用，厦门理工学院高层次人才项目，负责人，2021年6月-2024年6月
主要科研成果（按时间顺序）：
l W. Chen, P. Qiu, and F. Cauteruccio, "MedNER: A Service-Oriented Framework for Chinese Medical Named-Entity Recognition with Real-World Application," Big Data and Cognitive Computing, vol. 8, no. 8, p. 86, 2024.
l W. Chen, W. Hussain, I. Al-Qudah, G. Al-Naymat, and X. Zhang, "Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review," Personal and Ubiquitous Computing, 2024, doi: 10.1007/s00779-024-01820-w.
l X. Zhang, F. Lai, W. Chen, and C. Yu, "An automatic glaucoma grading method based on attention mechanism and EfficientNet-B3 network," PLOS ONE, vol. 19, no. 8, p. e0296229, 2024.（通讯作者）
l X. Zhang, X. Zhang, W. Chen, C. Li, and C. Yu, "Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments," Scientific Reports, vol. 14, no. 1, p. 9543, 2024.
l W. Chen, W. Hussain, F. Cauteruccio, and X. Zhang, "Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models," Computer Modeling in Engineering & Sciences, vol. 139, no. 1, pp. 187-224, 2023.
l W. Chen, A. El Majzoub, I. Al-Qudah, and F. A. Rabhi, "A CEP-driven framework for real-time news impact prediction on financial markets," Service Oriented Computing and Applications, vol. 17, no. 2, pp. 129-144, 2023.
l W. Chen, Z. Milosevic, F. A. Rabhi, and A. Berry, "Real-Time Analytics: Concepts, Architectures, and ML/AI Considerations," IEEE Access, vol. 11, pp. 71634-71657, 2023.
l W. Chen, F. Rabhi, W. Liao, and I. Al-Qudah, "Leveraging State-of-the-Art Topic Modeling for News Impact Analysis on Financial Markets: A Comparative Study," Electronics, vol. 12, no. 12, p. 2605, 2023.
l X. Zhang, J. Ni, J. Hu and W. Chen, "Structural interval reliability algorithm based on bernstein polynomials and evidence theory," Computer Systems Science and Engineering, vol. 46, no.2, pp. 1947–1960, 2023.
l C. Tian, W. Liu, C. Lin, I. Al-Qudah, and W. Chen, "Research on Air Quality Classification Based on KNN and CART," presented at the Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management, Chengdu, China, 2023.（通讯作者）
l W. Chen, I. Al-Qudah, and F. Rabhi, "A Framework for Facilitating Reproducible News Sentiment Impact Analysis," presented at the 2022 The 5th International Conference on Software Engineering and Information Management (ICSIM), Yokohama, Japan, 2022.
l W. Chen, B. Liu, X. Zhang and I. Al-Qudah, "An Event-Based Framework for Facilitating Real-Time Sentiment Analysis in Educational Contexts," 2022 11th International Conference on Educational and Information Technology (ICEIT), Chengdu, China, 2022, pp. 57-61.
l X. Zhang, W. Chen, J. Cui, and W. Xiao, "Research on multi-path network balancing method for cloud computing," International Journal of Embedded Systems, vol. 15, no. 5, pp. 421-428, 2022.
l I. Al Qudah, I. Hashem, A. Soufyane, W. Chen, and T. Merabtene, "Applying Latent Dirichlet Allocation Technique to Classify Topics on Sustainability Using Arabic Text," Cham, 2022: Springer International Publishing, in Intelligent Computing, pp. 630-638.
l Mercuri, Enrico and Rabhi, Fethi and Saadouni, Brahim and Chen, Weisi, Measuring the Impact of Austrac Investigations on Stock Returns (April 28, 2021). Available at SSRN: https://ssrn.com/abstract=3835518 or http://dx.doi.org/10.2139/ssrn.3835518
l W. Chen and F. A. Rabhi, "Enabling user-driven rule management in event data analysis," Information Systems Frontiers, vol. 18, pp. 511-528, 2016.
l Z. Milosevic, W. Chen*, A. Berry, and F. A. Rabhi, "An open architecture for event-based analytics," International Journal of Data Science and Analytics, vol. 2, no. 1, pp. 13-27, 2016/12/01 2016, doi: 10.1007/s41060-016-0029-7. （通讯作者）
l Z. Milosevic, W. Chen, A. Berry, and F. A. Rabhi, "Real-Time Analytics," in Big Data, R. Buyya, R. N. Calheiros, and A. V. Dastjerdi Eds.: Morgan Kaufmann, 2016, pp. 39-61. （著作章节）
l Z. Milosevic, A. Berry, W. Chen, and F. A. Rabhi, "An Event-Based Model to Support Distributed Real-Time Analytics: Finance Case Study," in 2015 IEEE 19th International Enterprise Distributed Object Computing Conference, 2015, pp. 122-127.
l W. Chen and F. A. Rabhi, "Validating an Incremental Rule Management Approach for Financial Market Data Pre-processing," Lecture Notes in Business Information Processing, vol. 217, pp. 60-78, 2015.
l W. Chen and F. Rabhi, "An RDR-Based Approach for Event Data Analysis," in Service Research and Innovation, Cham, J. G. Davis, H. Demirkan, and H. R. Motahari-Nezhad, Eds., 2014: Springer International Publishing, pp. 1-14.
l W. Chen, "E-research event data quality," in 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), 2013, pp. 314-317.
l W. Chen and F. A. Rabhi, "Incrementally Defining Analysis Processes using Services and Business Processes," in Proceedings of the 13th International Conference on Enterprise Information Systems, 2011.
主要讲授课程：
l 《人工智能基础》
l 《人工智能》
l 《计算机专业英语》
