个人简介
副教授,博士,硕士生导师。杭电首批“钱江学者”,杭电–三汇知识图谱联合实验室副主任,中国计算机学会CCF 高级会员,ACM/IEEE会员,CCF数据库专委会执行委员,CCF信息系统专委会执行委员,CCF大数据专委会委员,中国中文信息学会会员,知语言与知识计算专委会委员,ACM SIGCOMM China会员,国家自然科学基金函评专家,南洋理工大学(NTU)访问学者。主要研究领域为:图计算与学习、知识图谱查询与优化、异构网络社区搜索等,主持国家自然科学基金青年/面上项目、浙江省尖兵领雁研发攻关计划项目、浙江省科技计划项目;参与多项国家自然科学基金、国家社科基金、武器装备预研项目,在SIGMOD, VLDB, ICDE, SIGIR, NeurIPS, TKDD, Informantion Sciences, CIKM, ECAI, ISWC, ICPP, DASFAA, KBS, DKE等CCF A/B类推荐会议及期刊发表论文40余篇。担任IEEE Transactions on Knowledge and Data Engineering (TKDE,CCF A) 国际顶级期刊评审,担任IJCAI'23,24, KDD'23,24, ACL'24, WWW'23,24, ICDE'23,25, ICDM'23, SDM'24等CCF A/B类会议程序委员会委员。 English Version: https://wyxlss.github.io/ 本人隶属于杭电计算机学院-知识图谱与类脑智能实验室。欢迎希望从事知识图谱、图神经网络、复杂网络社区搜索、大数据处理等相关领域研究工作的同学报考我的硕士研究生!发送个人简历到我的邮箱 lsswyx@hdu.edu.cn。
教育经历
B.S. in School of Software Engineering, Tianjin University, 2008 M.S. & Ph.D in School of Computer Science and Engineering, Southeast University, 2015
工作经历
2024-Now: 科技部评估中心挂职
2021-Now: Associate Professor
2019-2020: Visiting Scholar
2016-2020: Assistant Professor
2015-2016: Research Engineer
社会职务
杭电–三汇知识图谱联合实验室副主任 CCF高级会员 IEEE/ACM会员 CCF数据库专委会执行委员 CCF信息系统专委会执行委员 CCF大数据专委会委员 中国中文信息学会会员 语言与知识计算专委会委员 ACM SIGCOMM China会员 国家自然科学基金函评专家 IEEE TKDE, KBS, Information Sciences, DKE, KAIS等CCF A/B类期刊评审专家 KDD'23,24, IJCAI'23,24, WWW'23,24, ACL'24, ICDE'23,25, TKDE poster track, ECAI'23, SDM'24等CCF A类会议程序委员会委员 PAKDD’19,20,21,22 等其他国际著名学术会议程序委员会委员
研究领域
Knowledge Graph. Querying, Community Search, Subgraph Matching
Big Data. Approximate Query Processing, Distributed Data Processing, Crowd Sourcing
横向科研
纵向科研
国家自然科学基金面上项目:语义驱动的知识图谱近似图查询关键技术研究,(62072149),2021-01至2024-12,56万 (在研,主持) 浙江省“尖兵”“领雁”研发攻关计划项目,未来实验室数字化建设关键技术研究与应用示范,项目负责人,2023.1-2025.12,170万(在研,主持) 国家自然科学基金青年项目:“面向大数据近似查询应用的在线聚集融合机制与优化研究”(61602410), 2017.1-2019.12,20万 (结题,主持); 浙江省科技计划公益项目:“RDF知识图谱分布式语义近似查询关键技术研究”(LGG19F020017), 2019.1-2021.12,10万 (在研,主持); 浙江省重点研发计划项目:“重大活动公共安全智 能防控平台开发及应用示范”(2021C03156),2021-01至2023-12,240万 (在研,参与); 浙江省重点研发计划项目:“促进成果转化的科技大数据服务平台开发及应用”(2017C01009),2016-07至2019-06,300万 (已结题,参与); 浙江省数字化改革重点扶持项目(之江实验室):“未来实验室数字化管理和科研辅助工具平台”,2021-09至2022-12,800万 (在研,参与); 浙江省重点研发计划项目:”浙江省科技特派员服务云平台建设关键技术研究与示范”(2021C03156),2021-01至2023-12,800万(在研,参与); 国家社会科学基金重大项目:”基于大数据的科教评价信息云平台构建和智能服务研究”(19ZDA348),2019-12至2024-12,60万(在研,参与)。
论文
Conference PapersYuxiang Wang, Zhangyang Peng, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Yuan Gao. Cohesiveness-aware Hierarchical Compressed Index for Community Search over Attributed Graphs. SIGMOD 2025. (CCF A) Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu. Scalable Community Search over Large-scale Graphs based on Graph Transformer. SIGIR 2024. (CCF A, acceptance rate 20.1%) Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu. Scalable Community Search with Accuracy Guarantee on Attributed Graphs. ICDE 2024, [Paper]. (CCF A) Qiang Yue, Xiaoliang Xu, Yuxiang Wang, Yikun Tao, Xuliyuan Luo. Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search. ICDE 2024, [Paper]. (CCF A) Mengzhao Wang, Lingwei Lv, Xiaoliang Xu, Yuxiang Wang, Qiangyue, Jiongkang Ni. An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint. NeurIPS 2023, [Paper]. (CCF A) Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu. Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. ICDE 2022, [Paper], [Code]. (CCF A) Xiaoliang Xu, Jun Liu, Yuxiang Wang*, Xiangyu Ke. Academic Expert Finding via (K,P)-Core based Embedding over Heterogeneous Graphs. ICDE 2022, [Code]. (CCF A) Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang*. A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search. PVLDB 2021, [Paper], [Code]. (CCF A) Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan. Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. ICDE 2020: 445-456, [Paper], [Code] (CCF A, acceptance ratio 19.5%) Tao Fu, Xiaoliang Xu, Yuxiang Wang. An Execution Cost Model for Aggregate Queries over Knowledge Graphs. CBD 2021, Best Paper Award. Haijiang Yan, Yuxiang Wang, Xiaoliang Xu. SimG: A Semantic Based Graph Similarity Search Engine. CBD 2019: 114-120. Longbin Zhang, Yuxiang Wang, Xiaoliang Xu. Logic-Partition Based Gaussian Sampling for Online Aggregation. CBD 2017: 182-187. Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. A Sampling-Based Hybrid Approximate Query Processing System in the Cloud. ICPP 2014: 291-300. (CCF B) Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen. A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. SMC 2013: 1020-1025. (CCF C) Yuxiang Wang, Junzhou Luo, Aibo Song, Jiahui Jin, Fang Dong. Improving Online Aggregation Performance for Skewed Data Distribution. DASFAA 2012: 18-32. (CCF B)
Journal PapersYuxiang Wang, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu. Efficient and Effective (k,P)-Core-Based Community Search over Attributed Heterogeneous Information Networks. Information Sciences, 2024. (CCF B, IF=8.1, Q1-Top) Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou. Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k,P)-Core based Embedding. Transactions on Knowledge Discovery from Data (TKDD), 2022. (CCF B, IF=4.157) Xiaoliang Xu, Qifan Hong, Yuxiang Wang*, Jiahui Jin, Xinle Xuan, Tao Fu. A Random Walk Sampling on Knowledge Graphs for Semantic-oriented Statistical Tasks. Data & Knowledge Engineering, 2022. (CCF B) Xiaoliang Xu, Mengzhao Wang, Yuxiang Wang, Dingcheng Ma. Two-Stage Routing with Optimized Guided Search and Greedy Algorithm on Proximity Graph. Knowledge-based Systems, 2021. (CCF B, JCR R1) Yuxiang Wang, Xiaoliang Xu, Qifan Hong, Jiahui Jin, Tianxing Wu. Top-k star queries on knowledge graphs through semantic-aware bounding match scores. Knowledge-Based Systems, 2021. (CCF B, JCR R1) Xiaoliang Xu, Chang Li, Yuxiang Wang, Yixing Xia. Multiattribute approximate nearest neighbor search based on navigable small world graph. Concurr. Comput. Pract. Exp, 32(24), 2020. (CCF C) Xiaoliang Xu, Tong Gao, Yuxiang Wang, Xinle Xuan. Event Temporal Relation Extraction With Attention Mechanism and Graph Neural Network. Tsinghua Science and Technology, 2020. (JCR R3) Jiahui Jin, Xiaoxuan Zhu, Biwei Wu, Jinghui Zhang, Yuxiang Wang. A Dynamic and Deadline-Oriented Road Pricing Mechanism for Urban Traffic Management. Tsinghua Science and Technology, 2020. (JCR R3) Yuxiang Wang, Zhangpeng Ge, Haijiang Yan, Xiaoliang Xu, Yixing Xia. Semantic locality-based approximate knowledge graph query. Concurr. Comput. Pract. Exp, 31(24), 2019. (CCF C) Yuxiang Wang, Jiahui Jin, Xiaoliang Xu, Longbin Zhang. Skew-aware online aggregation over joins through guided sampling. Concurr. Comput. Pract. Exp, 30(20), 2018. (CCF C) Yuxiang Wang, Yixing Xia, Qiming Fang, Xiaoliang Xu. AQP++: a hybrid approximate query processing framework for generalized aggregation queries. Journal of Computational Science, 26: 419-431, 2018. (JCR R3) Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. OATS: online aggregation with two-level sharing strategy in cloud. Distributed Parallel Databases, 32(4): 467-505, 2014. (CCF C) Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. Partition-Based Online Aggregation with Shared Sampling in the Cloud. Journal of Computer Science and Technology, 28(6): 989-1011, 2013. (CCF B, JCR R2)
专利成果
[1] 周于涵,王宇翔,徐小良,潘时煌. 一种具有共享约束的社区查询方法及系统. 专利号:ZL202310166904.0. 中国专利. (授权时间:2023年5月2日,第一发明人为本人指导本科生) [2] 杜承豫,王宇翔,徐小良. 基于社区查询和高维向量检索的科技专家检索方法. 专利号:ZL202211413270.6. 中国专利. (授权时间:2023年4月25日,第一发明人为本人指导本科生) [3] 徐小良,金通学,王宇翔. 一种基于CBOW模型和依存句法关系的词向量表示方法. 专利号:ZL201910279906.4. 中国专利. (授权时间:2023年4月7日) [4] 徐小良,颜海江,王宇翔,何宏,夏一行. 一种语义敏感的RDF知识图谱近似查询方法. 专利号:ZL201910279900.7. 中国专利. (授权时间:2022年11月25日) [5] 徐小良,李怡霈,王宇翔. 一种融合地理知识的混合知识图谱构建方法. 专利号:ZL202110445559.5. 中国专利. (授权时间:2022年7月22日) [6] 徐小良,洪启帆,王宇翔. 一种语义敏感的知识图谱随机游走采样方法. 专利号:ZL202010185892.2. 中国专利. (授权时间:2021年11月30日) [7] 徐小良,葛张鹏,王宇翔. 一种面向RDF知识图谱的语义近似查询方法. 专利号:ZL201810782472.5. 中国专利. (授权时间:2021年9月3日) [8] 徐小良,吴远超,王宇翔. 一种基于专利的科技人才推荐方法. 专利号:ZL201710825493.6. 中国专利. (授权时间:2020年12月28日) [9] 徐小良,顾高飞,王宇翔. 一种基于文档评分模型和相关度的学术论文搜索排序方法. 专利号:ZL201710461109.9. 中国专利. (授权时间:2020年4月3日)
软件成果
知识图谱近似查询引擎软件,4190927,2019SR0770170,2019-07-24 Wiki百科知识查询平台,4097020,2019SR0676263,2019-07-01
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