·厦门大学信息学院超智医疗创新研究中心

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王晓黎,厦门大学信息学院副院长、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高级会员、CCF传播工委传播大使、CCF数据库专委会执行委员、计算机“101计划”福建工作组专家委员会委员、福建省高层次引进人才。在医疗健康大数据、大模型领域应用具备丰富研究经验,已在国际重要学术期刊和会议上发表相关论文60余篇,获SC’25最佳学生论文提名奖、CIKM’21最佳Demo论文提名、APWeb’16最佳Demo论文奖,获得国际/国家发明专利8项,转化专利1项,主持国家及省部级基金项目6项、CCF科研基金2项,作为课题骨干参与国家科技部重大专项1项、某科委专项1项。近年来曾担任DSE期刊副执行编辑、DASFAA’23 Demo共同主席、CIKM’25高级程序执行委员会委员、VLDB’24等会议程序执行委员会委员;荣获厦门大学“闽都-国际银行奖教金”、厦门大学优秀共产党员、CCF“杰出传播者”;主持福建省本科高校教育教学研究项目嵌入式软件特色化人才培养模式探索与实践,主编《操作系统基本原理与实践》教材,获厦门大学教学成果奖一等奖。


个人谷歌学术主页:https://scholar.google.com/citations?user=gXjyRxsAAAAJ

个人课题组主页:https://inst.xmu.edu.cn/smrc/zh_CN/index.htm

 


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]       2026 WWW、SIGIR、KDD程序执行委员会委员

[2]       2025 AAAI、SIGIR、MM、WWW程序执行委员会委员

       CIKM高级程序执行委员会委员

[3]       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

[4]       2023 ICDE、AAAI、CIKM程序执行委员会委员

DASFAA Demo   Track会议共同主席

[5]       2022 CIKM、ER、APWeb-WAIM程序执行委员会委员

[6]       2021 CIKM程序执行委员会委员

[7]       2018-2020 ER程序执行委员会委员

[8]       2016 VLDB Demo Track程序执行委员会委员

[9]       2016 APWeb Demo Track程序执行委员会委员

[10]    2013-至今 IEEE TKDE、TPDS等审稿专家

   



 研究领域

医疗健康大数据、大模型领域应用等

 

演讲/授课

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

研究生:分布式系统、研究生专业英语

 

科研项目

科研平台项目

[1]       厦门大学信息学院星辰数智赋能研究中心(Star-XLAB),院级平台,2025.08-2028.08,主持

[2]       厦门大学信息学院超智医疗创新研究中心,院级平台,2025.07-2030.07,主持

[3]       厦门大学信息学院-超聚变联合实验室,院级平台,2023.08-2026.08,主持

 

成果转化

[4]       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,已结题


省部级以上科研项目

[5]       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,已结题

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

[7]       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,已结题

[8]       2017YFC1703303,基于舌诊临床大数据的人工智能技术研究与应用,国家科技部重点研发计划专项项目,2018.01-2023.06,参与,已结题

[9]       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,2018.01-2020.12,主持,已结题

[10]    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,2018.04-2020.12,主持,已结题

[11]    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,2018.04-2021.04,主持,已结题

[12]    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,2016.09-2019.05,主持,已结题

[13]    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,2016.01-2016.12,主持,已结题

 

CCF科研基金

[14]    面向云环境的自适应IO隔离调度技术研究,CCF蚂蚁科研基金,2024.9-2025.8,主持,在研

[15]    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,2023.11-2024.10,主持,已结题

 

企业科技项目

[16]  面向金融领域的大模型应用技术研究,企业项目,2024.11-2025.11,主持,在研

[17]  大模型领域应用技术研究,企业项目,2024.08-2025.08,主持,在研

[18]  专业领域大模型翻译技术,企业项目,2023.08-2024.06,主持,已结题

[19]  基于提示学习的黑盒大语言模型的知识融入技术的研究,企业项目,2023.04-2024.04,主持,已结题

[20]  医学实体和关系提取算法研究,企业项目,2021.06-2021.12,主持,已结题


指导学生

博士生

2025级 罗琦媛


硕士生

2025级 江杨新

2025级 董是宇

2025级 赵行康

2025级 周祺浩

2024级 黄子倩

2024级 郑蓍颖

2023级 洪杭海(华为技术有限公司)

2023级 郑嘉炜(中华人民共和国福州海关)

2023级 解一博(高通中国控股有限公司)

2022级 洪晓杰(字节跳动有限公司)

2022级 刘菲艳(国网福建省电力有限公司)

2022级 王楷帆(广东电网有限责任公司)

2022级 周智杰(比亚迪股份有限公司)

2021级 黄烨钒(中国银行软件中心)

2020级 刘畅(北京经纬恒润科技股份有限公司)


论文列表

2026

[1]     Feng Luo, Hai Lan, Hui Luo, Zhifeng Bao, Xiaoli Wang*, J. Shane Culpepper, Shazia Sadiq. Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical   Question Answering. Accepted in ICDE 2026. (CCF-A会议)

[2]       Feng   Luo, Hai Lan, Hui Luo, Zhifeng Bao*, J. Shane Culpepper, Xiaoli Wang*. Missing Value Imputation in Tabular Data Lakes   Unleashed: A Hybrid Approach. VLDB Journal, 2026.   (CCF-A期刊)

[3]       Yina   Lv, Wenhao Zhu, Qiao Li, Quanqing Xu, Congming Gao, Chuanhui Yang, Xiaoli   Wang, Chun Jason Xue. Tetris: Lightweight Hyperparameter Auto-Tuning for   Mitigating Performance Spikes in LSM-KVS. Accepted in ICDE 2026. (CCF-A会议)

 

2025

[4]     Jiawei Zheng, Feiyan   Liu, Xiaoli Wang*. Seeing   Through Ambiguity: Effective Video-guided Machine Translation via Chaotic   Fusion and Causally Aligned Spatio-temporal Attention,   ACM MM, 2025. (CCF-A会议)

[5]     Hanghai Hong, Yibo Xie, Jiawei Zheng, Xiaoli Wang*. SubDocTrans: Enhancing Document-level Machine Translation with   Plug-and-play Multi-granularity Knowledge Augmentation. EMNLP Findings, 2025.   (CCF-B会议)

[6]     Zhijie Zhou, Yefan Huang, Xiaoli   Wang*, Xiaojie Hong. Effective Medical Visual Question Answering Using   Dynamic Prompting and Decoding Knowledge Editing. Data Science and Engineering, 2025. (EI期刊, JCR一区, CCF-B)

[7]     Feiyan Liu, Wenhao Wang, Xiaoli Wang*. EDRMM:   Enhancing drug recommendation via multi-granularity and multi-attribute   representation. BMC Bioinformatics, 2025. (SCI期刊, JCR一区)

[8]     Guipeng Xv, Xinyu Li, Yi Liu, Chen Lin, Xiaoli   Wang. Unveiling the Impact of Multi-modal Content in Multi-modal Recommender   Systems. ACM MM, 2025. (CCF-A会议)

[9]     Zixiang Yu, Guangyang Deng, Zhirong Shen, Qiangsheng Su, Ronglong Wu,   Xiaoli Wang, Quanqing Xu, Chuanhui Yang, Zhifeng Bao. MetoHash: A   Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM   Memories. SC, 2025. (CCF-A会议, Best student paper   nomination)

[10]  Jiahui Yang, Fulin Nan, Zhirong Shen, Zhisheng Chen, Yuhui Cai,   Dmitrii Kaplun, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, and Jiwu Shu.   TPRepair: Tree-Based Pipelined Repair in Clustered Storage Systems. ACM   Transactions on Architecture and Code Optimization, 2025. (CCF-A期刊)

[11]  Ante Wang, Linfeng Song, Zijun Min, Ge Xu, Xiaoli Wang, Junfeng Yao,   and Jinsong Su. Mitigating the negative impact of over-association for   conversational query production. Information processing & management.  62(1): 103907,   2025. (CCF-B期刊, JCR一区)

[12]  Wenhao Wang, Jiaxi Peng, Hongbin Xiao, Yang Hua, Yufei Zhou, Zhi Li,   Xiaoli Wang. Machine Learning, Deep Learning, or Large Language Models: An   Empirical Study on Multi-Label Requirements Classification. ChinaSoft 2025.

 

2024

[13]    Yipeng   Zhang, Zhifeng Bao, Yuchen Li, Baihua Zheng, Xiaoli Wang*. From A Timeline Contact Graph to Close Contact   Tracing and Infection Diffusion Intervention. IEEE TKDE 2024. (CCF-A期刊)

[14]    Yibo   Xie, Kaifan Wang, Jiawei Zheng, Feiyan Liu, Xiaoli Wang*, Guofeng Huang. OEHR: An Orthopedic Electronic   Health Record Dataset. SIGIR 2024. (CCF-A会议)

[15]    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)

[16]    Xiaojie   Hong, Zixin Song,   Xiaoli Wang*, Liangzhi Li, and Yiming   Qian. BESTMVQA: A Benchmark Evaluation System for Medical Visual Question   Answering. PKDD 2024. (CCF-B会议)

[17]    Liang Zhang, Zhen   Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, and Jinsong Su. Multi-Level   Cross-Modal Alignment for Speech Relation Extraction. EMNLP 2024. (CCF-B会议)

 

2023

[18]    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. (CCF-B期刊, JCR 一区)

[19]    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)

[20]    Tong   Li, 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)

[21]    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)

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

[23]    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)

 

2022

[24]    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)

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

[26]    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)

[27]    Jiefeng   Li, Yingying She, Fang Liu, Chun Yu, Xiaoli Wang, and Yuxin Xu. Augmented   Reality Based Video Shooting Guidance for Novice Users. Proc. ACM   Hum.-Comput. Interact. 6, MHCI, Article 215, 2022. (SCI期刊)

 

2021

[28]    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)

[29]    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)

[30]    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)

[31]    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)

[32]    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)

[33]    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)

[34]    Linling   Qiu, Han Li,   Meihong Wang, and Xiaoli Wang. Gated Graph Attention Network for Cancer   Prediction. Sensor 2021. (SCI期刊)

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

 

2020

[36]    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)

[37]    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)

[38]    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)

[39]    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)

 

2019

[40]    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)

[41]    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)

[42]    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)

 

2018

[43]    Xiaoli Wang, Yuan Wang, Chuchu Gao, Kunhui Lin, and Yadi   Li. Automatic Diagnosis with Efficient Medical Case Searching based on   Evolving Graphs. IEEE ACCESS, 2018. (SCI期刊, JCR二区)

[44]    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)

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

[46]    Kunhui   Lin, Wenyuan Du, Xiaoli Wang*,   Meihong Wang, and Zixiang   Yang. How to Enhance Chinese Word Segmentation Using Knowledge Graphs.   ICCSE 2018. (EI会议)

[47]    Kunhui   Lin, Chuchu Gao, Xiaoli Wang*,   and Ming Qiu. Research on Keyword Extraction Algorithm for Chinese Text Based   on Document Topic Structure and Semantics. ICCSE 2018. (EI会议)

[48]    Xiaoli   Wang,   Ying Li, Meihong Wang*, Zixiang Yang, and Huailin Dong. An Improved K_means Algorithm   for Document Clustering Based on Knowledge Graphs. CISP-BMEI 2018. (EI会议)

 

2017

[49]    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)

[50]    Kunhui   Lin, Yangbin Pan, Xiaoli Wang*, Mengsang   Wu, and Shiyu Su.   Effective Dynamic Algorithms for Massive Mark Point Aggregation Display.   ICCSE 2017. (EI会议)

[51]    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)

 

2016

[52]    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)

[53]    Kunhui   Lin, Mengsang Wu, Xiaoli Wang*, and   Yangbin Pan. MEDLedge: A Q&A Based System for Constructing Medical   Knowledge Base. ICCSE, pp. 485-489, 2016. (EI会议)

[54]    Yuhui   Zheng, Tianzhi Deng, and Xiaoli Wang*.   Light-Weight Top-k String Similarity Search with a Two-level Inverted Index,   ICCSE 2016. (EI会议)

[55]    Kunhui   Lin, Zhentuan Xu, Ming Qiu, Xiaoli Wang, and Tianxiong Han. Noise Filtering, Trajectory   Compression and Trajectory Segmentation on GPS Data, ICCSE 2016. (EI会议)

[56]    Yan   Zheng, Kunhui Lin, Xiaoli Wang, Minhong Liao, David Dankers, and Jing Li.   CHECK-IT: An International Internship Center on Improving the Professional Skills   and Intercultural Communication Competence in IT for Undergraduates, ICCSE   2016. (EI会议, 教学论文)

 

2015

[57]    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)

 

2013

[58]    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)

[59]    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)

 

2014

[60]    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)

2012

[61]    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)