王晓黎 副教授、硕士生导师


个人介绍

王晓黎,博士,厦门大学信息学院副教授。本科就读于东北大学,博士毕业于新加坡国立大学,现为CCF传播工委传播大使、CCF数据库专委会执行委员、DSE期刊编委、CIPS青工委委员、福建省高层次引进人才,厦门市高层次留学人才。在知识图谱、问答系统具备研究经验,已在国际重要学术期刊和会议上发表相关论文40余篇,包括SIGMOD、VLDB、ICDE、SIGIR、WWW等CCF A类论文10几篇,获得国际重要学术会议APWeb2016最佳Demo论文奖、CIKM2021最佳Demo论文提名奖。近年来曾担任DASFAA2023 Demo共同主席,担任VLDB2024、SIGIR2024、AAAI2024等国际会议程序执行委员会委员,长期担任国际期刊IEEE TKDE、TPDS等审稿专家。荣获厦门大学2020年度“闽都-国际银行奖教金”、2021年度优秀共产党员、2022年度信息学院“奇妙奖教金”、2022年度CCF“杰出传播者”。个人谷歌学术主页:https://scholar.google.com/citations?user=gXjyRxsAAAAJ


教育背景

Ph.D. 新加坡国立大学 计算机学院 计算机科学系 2014.01

B.S. 中国东北大学 信息学院 计算机科学与技术系 2008.07


工作经历

2019年8月-至今 厦门大学信息学院 副教授

2015年5月-2019年7月 厦门大学软件学院 助理教授

2014年5月-2015年5月 新加坡国立大学数字互动媒体研究中心 博士后


学术任职

[1]2024 VLDB、SIGIR、AAAI程序执行委员会委员

[2]2023 ICDE、AAAI、CIKM程序执行委员会委员 DASFAA Demo Track共同主席

[3]2022 CIKM、ER、APWeb-WAIM程序执行委员会委员

[4]2021 CIKM程序执行委员会委员

[5]2018-2020 ER程序执行委员会委员

[6]2016 VLDB Demo Track程序执行委员会委员

[7]2016 APWeb Demo Track程序执行委员会委员

[8]2013-至今 IEEE TKDE、TPDS等审稿专家


研究领域

图数据索引与查询、医疗健康大数据分析、大语言模型等


演讲/授课

本科生:社交网络技术与应用、开源软件、Computer Fundamentals、Introduction of Cloud Computing

研究生:研究生专业英语、分布式系统


科研项目

[1]基于持久性CPU高速缓存的高并发键值存储系统,CCF蚂蚁科研基金,2023.11-2024.11,主持,在研

[2]基于区域创新能力集成的区域急诊急救协同救治平台研究与应用,四川省绵阳市科技项目,2023.09-2024.08,主持,在研

[3]服务器领域大模型翻译技术,横向项目,2023.08-2024.06,主持,在研

[4]基于提示学习的黑盒大语言模型的知识融入技术的研究,横向项目,2023.04-2024.04,主持,在研

[5]一种基于文档主题结构与语义的中文文本关键词提取方法,成果转化,2023.04,主持,在研

[6]2021J01003,面向多模态骨科大数据的智能问答关键技术研究,福建省面上基金,2021.11-2024.11,主持,在研

[7]知识图谱自动构建技术与工具,2022.10-2024.10,参与,在研

[8]医学实体和关系提取算法研究,横向项目,2021.06-2021.12,主持,已结题

[9]基于舌诊临床大数据的人工智能技术研究与应用,科技部重点研发计划专项项目,2018.1-2021.12,参与,已结题

[10]61702432,海量多模态医疗健康数据的有效管理与分析,国家自然科学基金青年项目,2018.1-2020.12,主持,已结题

[11]20720180070,面向骨科智能辅助诊断的病例自动标记关键技术研究,中央高校基本科研业务费专项资金,2018.4-2020.12,主持,已结题

[12]2018I0016,新一代中文互动社交阅读系统研究,福建省对外合作项目,2018.4-2021.4,主持,已结题

[13]JAT160003,基于传感器与众包技术的疾病自动诊断研究,福建省中青年教师科研项目,2016.9-2019.5,主持,已结题

[14]201601000679,基于传感器与众包的疾病自动诊测关键技术研究,中央高校基本科研业务费,2016.1-2016.12,主持,已结题


代表性论文

[1]Yifan Dong, Suhang Wu, Fandong Meng, Jie zhou, Xiaoli Wang, Jianxin Lin, and  Jinsong Su. Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. ACM MM 2023. (CCF-A会议)

[2]Li, Tong, Zhihao Wang, Liangying Shao, Xuling Zheng, Xiaoli Wang, and Jinsong Su. A Sequence-to-Sequence&Set Model for Text-to-Table Generation. ACL 2023. (CCF-A会议)

[3]Yefan Huang, Feng Luo, Xiaoli Wang*, Di Zhu, Bohan Li, and Bin Luo. A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search. Data Science and Engineering, 4(8):306-317, 2023. (EI期刊, CCF-C)

[4]Yefan Huang, Xiaoli Wang*, and Jinsong Su. An Effective Pre-trained Visual Encoder for Medical Visual Question Answering. ADMA 2023. (CCF-C会议)

[5]Wen Sun, Qingqiang Wu, Xiaoli Wang*, Junfeng Yao, and Zhifeng Bao. Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions. ADMA 2023. (CCF-C会议)

[6]Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, and Bohan Li. Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. ADMA 2023. (CCF-C会议)

[7]Yefan Huang, Xiaoli Wang*, Feiyan Liu, and Guofeng Huang. OVQA: A Clinically Generated Visual Question Answering Dataset. ACM SIGIR 2022. (CCF-A会议)

[8]Binbin Xie, Xiangpeng Wei, Baosong Yang, Huan Lin, Jun Xie, Xiaoli Wang, Min Zhang, and Jinsong Su. WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation. EMNLP 2022. (CCF-B会议)

[9]Junfeng Yao, Wen Sun, Zhongquan Jian, Qingqiang Wu, and Xiaoli Wang*. Effective Knowledge Graph Embeddings based on Multidirectional Semantics Relations for Polypharmacy Side Effects Prediction, Bioinformatics, 2022. (SCI期刊, CCF-B)

[10]Xiaoli Wang, Feng Luo, Qingfeng Wu, and Zhifeng Bao. How Context or Knowledge Can Benefit Healthcare Question Answering? TKDE 2021. (SCI期刊, CCF-A)

[11]Dongxiang Zhang, Zepeng Li, Xiaoli Wang*, Kian-Lee Tan, and Gang Chen. Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks. TKDE 2021. (SCI期刊, CCF-A)

[12]Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong. Description Generation for Points of Interest, ICDE 2021. (CCF-A会议)

[13]Chen Lin, Zhichao Yang, Xiaoli Wang, Hui Li, and Zhenhua Huang. Preserve Integrity in Realtime Event Summarization. ACM TKDD 2021. (SCI期刊, CCF-B)

[14]Haoyue Bai, Xiaoyan Shan, Yefan Huang, and Xiaoli Wang*. MVQAS: A Medical Visual Question Answering System, CIKM 2021. (Best Demo paper nomination). (CCF-B会议)

[15]Feng Luo, Yue Zhang, and Xiaoli Wang*. IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks. CIKM 2021. (CCF-B会议)

[16]Meihong Wang, Linling Qiu, and Xiaoli Wang*. A Survey on Knowledge Graph Embeddings for Link Prediction. Symmetry 2021, 13(3), 485-514.  (SCI期刊)

[17]Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin. DEAMER: A Deep Exposure-Aware Multimodal Content-based Recommendation System, DASFAA 2020. (CCF-B会议)

[18]Xiaoli Wang, Yinlin Zheng, Ming Zeng, Xuan Cheng, and Wei Lu. Joint Learning for Face Alignment and Face Transfer with Depth Images via Multi-task Learning, MTA, 2020. (SCI期刊, CCF-C)

[19]Feng Luo, Xiaoli Wang*, Qingfeng Wu, Jiayin Liang, and Zhifeng Bao. HQADeepHelper: A Deep Learning System for Healthcare Question Answering, WWW 2020. (CCF-A会议)

[20]Xiaoli Wang, Yixiang Xie, Siqi Xie, Zhifeng Bao, and Shuwen Su. IMAS: An Intelligent Medical Analysis System Based on Concept Graph, ER 2020. (CCF-C会议)

[21]Xiaofeng Ding, Wanlu Yang, Kim-Kwang Raymond Choo, Xiaoli Wang*, and Hai Jin. Privacy Preserving Similarity Joins using MapReduce, Information Sciences, 2019. (SCI期刊, JCR一区, CCF-B)

[22]Xiaoli Wang, Rongzhen Wang, Zhifeng Bao, Jiayin Liang, and Wei Lu. Effective Medical Archives Processing Using Knowledge Graphs, ACM SIGIR 2019. (CCF-A会议)

[23]Meihong Wang, Linling Qiu, and Xiaoli Wang*. GDMS: A Geospatial Data Mining System for Abnormal Event Detection and Visualization, MDM 2019. (CCF-C会议)

[24]Xiaoli Wang, Chuchu Gao, Jiangjiang Cao, Kunhui Lin, Wenyuan Du, and Zixiang Yang. ALTAS: An Intelligent Text Analysis System based on Knowledge Graphs. APWEB-WAIM 2018. (CCF-C会议)

[25]Xiaoli Wang, Meihong Wang, and Jianshan Han. ACCDS: A Criminal Community Detection System Based on Evolving Social Graphs, ER 2018. (CCF-C会议)

[26]Yixuan Tang, Weilong Huang, Qi Liu, Anthony K. H. Tung, Xiaoli Wang, Jisong Yang, and Beibei Zhang. QALink: Enriching Text Documents with Relevant Q&A Site Contents. ACM CIKM 2017. (CCF-B会议)

[27]赵展浩, 黄斐然, 王晓黎*, 卢卫, 杜小勇. 基于SQL的图相似性查询方法. 软件学报,2017. (EI期刊, 中文核心期刊)

[28]Zhentuan Xu, Xiaoli Wang*, Yating Chen, Yangbin Pan, and Mengyuan Xiong. ADDS: An Automated Disease Diagnosis-Aided System. APWEB 2016. (CCF-C会议, Best Demo Award)

[29]Qiang Hu, Qi Liu, Xiaoli Wang, Anthony K. H. Tung, Shubham Goyal, and  Jisong Yang. DocRicher: An Automatic Annotation System for Text Documents Using Social Media. SIGMOD 2015. (CCF-A会议)

[30]Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, and Zhenjie Zhang. Efficient and Effective KNN Sequence Search with Approximate n-grams. PVLDB 2014. (CCF-A会议)

[31]Sai Wu, Xiaoli Wang, Sheng Wang, Zhenjie Zhang, and Anthony K. H. Tung. K-Anonymity for Crowdsourcing Database. IEEE TKDE, 26(9):2207-2221, 2013. (SCI期刊, CCF-A)

[32]Chuitian Rong, Wei Lu, Xiaoli Wang, Xiaoyong Du, Yueguo Chen, and Anthony K. H. Tung. Efficient and Scalable Processing of String Similarity Join. IEEE TKDE, 25(10):2217-2230, 2013. (SCI期刊, CCF-A)

[33]Xiaoli Wang, Xiaofeng Ding, Anthony K. H. Tung, Shanshan Ying, and Hai Jin. An Efficient Graph Indexing Method. ICDE, pp. 210-221, 2012. (CCF-A会议)

厦门大学 厦门大学信息科学学院 厦门大学软件工程系 厦门大学信息科学系