最终学位：博士
导师类型：
电子邮箱：yanyanwang@sxu.edu.cn
联系电话：0351-7010566
研究方向：数据挖掘、情感分析
王艳艳，博士，讲师。2023年博士毕业于西北工业大学计算机学院，研究方向包括人工智能、文本数据挖掘、情感分析等。以第一作者在国际顶级期刊和会议TKDE、TACL、WWW 2018，以及国内顶级期刊《软件学报》发表多篇论文。
[1] Yanyan Wang, Qun Chen, Murtadha H. M. Ahmed, Zhaoqiang Chen, Jing Su, Wei Pan, Zhanhuai Li. Supervised Gradual Machine Learning for Aspect-Term Sentiment Analysis[J]. Transactions of the Association for Computational Linguistics (TACL), 2023. (CCF B类期刊, SCI 1 区, Top期刊)
[2] Yanyan Wang, Qun Chen, Murtadha H. M. Ahmed, Zhanhuai Li, Wei Pan, Hailong Liu. Joint Inference for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF A类期刊)
[3] Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li. Aspect-level Sentiment Analysis based on Gradual Machine Learning[J]. Knowledge-Based Systems (KBS), 2021. (SCI 1 区, Top 期刊)
[4] Yanyan Wang, Qun Chen, Xin Liu, Murtadha H. M. Ahmed, Zhanhuai Li, Wei Pan, Hailong Liu. SenHint: A Joint Framework for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints[C]. WWW 2018, Demonstration, 2018. (CCF A类会议DEMO)
[5] 王艳艳, 陈群, 钟评, 李战怀. 一种基于近似因子的在线概率知识库推理方法[J]. 软件学报, 2018. (CCF A类中文科技期刊)
[6] Murtadha Ahmed, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li and Tianyi Duan. DNN-driven Gradual Machine Learning for Aspect-Term Sentiment Analysis[C]. Findings of ACL, 2021. (CCF A类会议)
[7] Boyi Hou, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li. Gradual Machine Learning for Entity Resolution[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A类期刊)
[8] Zhaoqiang Chen, Qun Chen, Fengfeng Fan, Yanyan Wang, Zhuo Wang, Youcef Nafa, Zhanhuai Li, Hailong Liu, Wei Pan. Enabling quality control for entity resolution: A human and machine cooperation framework[C]. ICDE, 2018. (CCF A类会议)
[9] Ping Zhong, Zhanhuai Li, Qun Chen, Yanyan Wang, Lianping Wang, Murtadha H. M. Ahmed, Fengfeng Fan. Poolside: An Online Probabilistic Knowledge Base for Shopping Decision Support[C]. CIKM, 2017. (CCF B类会议DEMO)
[1] 国家自然科学基金委员会, 面上项目, 62172335, 基于渐进机器学习的关系数据一致性和完整性修复技术研究, 在研, 参与.
[2] 中国科技部, 国家重点研发计划, 2016YFB1000703, 数据驱动的高端制造大数据管理系统的工具研制, 结题, 参与.