个人介绍

王晓黎，博士，williamhill官网副教授，软件工程系副主任，CCF传播工委传播大使、CCF数据库专委会执行委员、CIPS青工委委员、DSE期刊副执行编辑、福建省高层次引进人才，厦门市高层次留学人才。

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 我院 计算机科学与技术系 2008.07

工作经历

2019年8月-至今 williamhill官网 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、AAAI、SIGIR程序执行委员会委员

    CIKM高级程序执行委员会委员

    DSE期刊副执行编辑

[2] 2023 ICDE、AAAI、CIKM程序执行委员会委员

DASFAA Demo Track会议共同主席

[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

2013-至今 IEEE TKDE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、新生研讨课、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] 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

[3] 某科委专项，知识图谱自动构建技术与工具，2022.10-2024.10，参与，在研

[4] 2022ZYDF082，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，中央引导地方科技发展资金项目，2023.09-2024.08，子课题负责人，在研

[5] 专业领域大模型翻译技术，横向项目，2023.08-2024.06，主持，在研

[6] 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

[7] 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

[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] 2022ZYDF082，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

近期代表性论文

[1] Feiyan Liu, Laingzhi Li, Xiaoli Wang*, Chang Liu, Feng Luo, Jinsong Su, and Yiming Qian. MHGRL: An Effective Representation Learning Model for Electronic Health Records, COLING 2024. (CCF-B会议)

[2] 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)

[3] 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)

[4] Yefan Huang, Feng Luo, Xiaoli Wang*, Di Zhu, Bohan Li, ang Bin Luo. A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search. Data Science and Engineering, 4(8):306-317, 2023. (JCR二区期刊)

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

[6] 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)

[7] 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)

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

[9] 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)

[10] 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. (JCR二区, CCF-B)

[11] 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)

[12] 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）

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

[14] 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)

[15] 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)

[16] 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)

[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] 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)

[19] 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)

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

[21] 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)

[22] 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)

[23] 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)

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

[25] 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)

[26] 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. (中文核心期刊)

[27] 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)

[28] 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)

[29] 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)

[30] 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)

[31] 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)

[32] 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)