教授，博士生导师。入选“浙江省高层次人才特殊支持计划”，杭电首批“钱江学者”，杭电计算机学院“青年英才支持计划A类”。担任杭电–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，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，南洋理工大学(NTU)访问学者。主要研究领域为：向量检索、图计算与学习、知识图谱等，主持国家自然科学基金3项、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, IJCAI, ACL, TKDD, CIKM, ECAI, ISWC, ICPP, DASFAA等CCF A/B类推荐会议及期刊发表论文50余篇。担任IEEE TKDE、ACM TOIS等国际顶级期刊评审，担任ICML, ICDE, NeurIPS, KDD, WWW, IJCAI, AAAI, SIGIR, ACL, ECAI, SDM’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。欢迎希望从事向量检索、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。

• B.S. in School of Software Engineering, Tianjin University, 2008

• M.S. & Ph.D in School of Computer Science and Engineering, Southeast University, 2015

• 2025-Now: Professor

• 2024-Now: 科技部评估中心挂职

• 2021-Now: Associate Professor

• 2019-2020: Visiting Scholar (NTU, Singapore)

• 2016-2020: Assistant Professor

• 2015-2016: Research Engineer (HUAWEI)

• 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

• 浙江省青年科协委员

• 浙江省青年科协大数据与人工智能专委会委员

• IEEE TKDE, ACM TOIS, ACM TKDD, KBS, Information Sciences, DKE, KAIS等CCF A/B类期刊评审专家

• ICML’25, ICDE’25,23, NeurIPS’25,24, KDD’26,25,24,23, WWW’26,25,24,23, IJCAI’25,24,23, AAAI’26,25,24,23, SIGIR’26,25,24, ACL’24, ECAI’24,23, SDM’24,23等CCF A/B类会议程序委员会委员

• Data Intelligence 期刊编委

• Graph Search. Knowledge Graph Search, Subgraph search

• Graph Learning. Graph Neural Networks
  

• Approximate Nearest Neighbors Search. Graph-based ANNS, PQ-based ANNS
  

• Big Data. Approximate Query Processing, Distributed Data Processing

• 科技部科技评估中心委托技术开发项目：“科技体制改革政策文本大模型分析工作支撑”，在研，主持

• 火箭军工程大学科研委托技术开发项目：“蜂群智能涌现机理与运动特征分析”，在研，主持

• 国家自然资源部第二海洋研究所委托技术服务项目：“微塑料视频分析”，在研，主持

• 浙江省属高校基础科研业务费项目重点培育专项：“复杂异构网络社区查询关键技术研究”，在研，主持

• 校科研启动经费项目：“云环境下基于顺序随机采样的在线聚集融合机制研究”，2017-01至2017-12（结题，主持）

• 国家自然科学基金面上项目：语义感知的大规模信息网络高内聚社区搜索技术研究，(62572162)，2026-01至2029-12，50万 (在研，主持)

• 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)

• 国家重点研发计划-战略性科技创新合作重点专项：中马无人系统与智能装备联合实验室, 课题负责人, 2026至2028, 300万(在研)

• 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)。

Full list at DBLP and Google Scholar

Conference Papers

1. Jing Qi, Yuxiang Wang*, Zhiyuan Yu, Xiaoliang Xu, Yuanshi Zheng, Tianxing Wu. Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction. SIGIR 2026. (CCF A)

2. Qiang Yue, Mengzhao Wang, Xiaoliang Xu, Cheng Long, Yuxiang Wang, Jiahui Wang. Efficient and Robust Out-of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph. SIGMOD 2026. (CCF A)

3. Shuzhan Ye, Lu Chen, Zhikun Zhang, Yunjun Gao, Yuxiang Wang, Xiaoliang Xu. PrivAGS: Differentially Private Attributed Graph Synthesis. SIGMOD 2026. (CCF A)

4. Yuxiang 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)

5. Xiaoxuan Gou, Weiguo Zheng, Yuxiang Wang, Xiaoliang Xu, Zhiyuan Yu. A Comprehensive Survey and Experimental Study of Learning-based Community Search. VLDB 2025. (CCF A)

6. Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Xiang Chen, Zhuo Chen, Shuofei Qiao, Yuxiang Wang, Xiaoliang Xu, Sheng-Jun Huang. Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning. ACL 2025. (CCF A)

7. Xiang Chen, Jintian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen. Continual Multimodal Knowledge Graph Construction. IJCAI 2024. (CCF A)

8. 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%)

9. 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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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)

15. 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%)

16. Tao Fu, Xiaoliang Xu, Yuxiang Wang. An Execution Cost Model for Aggregate Queries over Knowledge Graphs. CBD 2021, Best Paper Award.

17. Haijiang Yan, Yuxiang Wang, Xiaoliang Xu. SimG: A Semantic Based Graph Similarity Search Engine. CBD 2019: 114-120.

18. Longbin Zhang, Yuxiang Wang, Xiaoliang Xu. Logic-Partition Based Gaussian Sampling for Online Aggregation. CBD 2017: 182-187.

19. 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)

20. 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)

21. 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 Papers

1. Yuan Gao, Yuxiang Wang, Zhangyang Peng, Xiaoliang Xu, Tianxing Wu. Fast Shortest Distance Estimation via Lighthouse-Based Label on Graph. Tsinghua Science and Technology, 2026, Volume 31, Issue 3, Pages 1691-1705. (中科院2区)

2. Yuxia Geng, Jiaoyan Chen, Yuhang Zeng, Zhuo Chen, Wen Zhang, Jeff Z. Pan, Yuxiang Wang, Xiaoliang Xu. Promoting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model. Expert Systems with Applications, 2024, Accepted. (中科院1区, Top, IF=7)

3. 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)

4. Yuxiang 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)

5. 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)

6. 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)

7. 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)

8. 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)

9. 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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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)

15. 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)