News
- [2024.03] One paper is accpeted by SIGIR 2024!
- [2024.03] One paper is accpeted by ICDE 2024!
- [2023.12] One paper is accpeted by Information Sciences (CCF B, IF=8.1, Q1-Top)!
- [2023.12] One paper is accpeted by ICDE 2024!
- [2023.09] One paper is accpeted by NeurIPS 2023!
- [2023.07] One paper is accpeted by ECAI 2023!
- [2023.07] One paper is accpeted by ISWC 2023!
- [2023.02] I was invited as a PC member of KDD 2023!
- [2022.12] One paper is accepted by TKDD (CCF B, IF=4.157)!
- [2022.12] I was invited as a PC member of IJCAI 2023!
- [2022.11] I was invited as a Guest Editor of Mathematics!
- [2022.08] One paper is accepted by CIKM 2022!
- [2022.03] One paper won the best paper award of CBD 2021!
- [2022.03] One paper is accepted by ICDE 2022!
- [2021.09] One paper is accepted by ICDE 2022 (Early Notification)!
- [2021.06] One paper is accepted by VLDB 2021!
- [2021.06] Join Chinese Information Processing Society of China as a member!
- [2020.12] Join ACM SIGCOMM China as a member!
- [2020.01] One paper is accpeted by ICDE 2020!
Research Interest
- Graph Query. Knowledge Graph Query, Community Search, Subgraph Matching
- Graph Learning. Heterogeneous Information Network Embedding, Graph Neural Network
- Approximate Nearest Neighbors Search Proximity Graph-based ANNS, PQ-based ANNS
- Big Data. Approximate Query Processing, Distributed Data Processing, Crowd Sourcing
Education
- B.S. in School of Software Engineering, Tianjin University, 2008
- M.S. & Ph.D in School of Computer Science and Engineering, Southeast University, 2015
Work experience
- 2021-Now: Associate Professor
- School of Computer Science, Hangzhou Dianzi University, China
- 2019-2020: Visiting Scholar
- School of Computer Science and Engineering, NTU, Singapore
- 2016-2020: Assistant Professor
- School of Computer Science, Hangzhou Dianzi University, China
- 2015-2016: Research Engineer
- Hangzhou Research Institute of HUAWEI Co., Ltd, China
Projects
- Host 1 Primay R&D Plan of Zhejiang
- 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，在研
- Host 2 National Natural Science Foundation of China
- 国家自然科学基金面上项目（No. 62072149），语义驱动的知识图谱近似图查询关键技术研究，项目负责人，2021.1-2024.12，在研
- 国家自然科学基金青年项目（No. 61602410），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，项目负责人，2017.1-2019.12，结题
- Host 1 National Natural Science Foundation of Zhejiang Province
- Participated in 6 National Natural Science Foundation of China
- Participated in 3 Zhejiang Province Key R&D Program
Conference Papers
- 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)
- Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu and Xiangyu Ke. Effective and Efficient Community Search with Graph Embeddings. ECAI 2023. (CCF B)
- Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang and Shenqi Jing. AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder. ISWC 2023. (CCF B)
- Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan and Yuhan Zhou. Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. CIKM 2022. (CCF B)
- 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%)
- Chaoyu Gao, Tianxing Wu*, Shengqi Jing, Yuxiang Wang. Medical Schema Matching using Knowledge Graph Embedding. EEKE 2022.
- 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 Papers
- Yuxiang Wang, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu. Efficient and Effective $(k,\mathcal{P})$-Core-Based Community Search over Attributed Heterogeneous Information Networks. Information Sciences, 2023, Accepted. (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 $(k,\mathcal{P})$-Core based Embedding. Transactions on Knowledge Discovery from Data (TKDD), 2022, Accepted. (CCF B, IF=4.157)
- Shuzhan Ye, Xiaoliang Xu, Yuxiang Wang, Tao Fu. Efficient Complex Aggregate Queries with Accuracy Guarantee Based on Execution Cost Model over Knowledge Graphs. Mathematics, 2023, Accepted. (JCR R2, IF=2.4)
- 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)
Other Papers
- Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang. A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search. CoRR abs/2101.12631, 2021.
Service
- Reviewer of TKDE, KBS, Information Science, Knowledge and Information Systems, Data Mining and Knowledge Discovery
- PC member of ICDE’23, TKDE poster track
- PC member of KDD’23,24
- PC member of IJCAI’23,24
- PC member of ACL’24
- PC member of WWW’24
- PC member of ECAI’23
- PC member of PAKDD’20,21,22,23
- PC member of CBD’16,17,18,19,20,21,22,23
