(* Corresponding Author; # Equal Contribution)
| [25] | Kaiyu Chen, Dong Wen, Wentao Li, Zhengyi Yang, and Wenjie Zhang. On compressing historical cliques in temporal graphs. In Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA), 2024. [ bib ] |
| [24] | Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao, and Jing Fan. Tatkc: A temporal graph neural network for fast approximate temporal katz centrality ranking. In Proceedings of The Web Conference 2024 (WWW), 2024. [ bib ] |
| [23] | Tianming Zhang, Yunjun Gao, Jie Zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao, and Jing Fan. Efficient exact and approximate betweenness centrality computation for temporal graphs. In Proceedings of The Web Conference 2024 (WWW), 2024. [ bib ] |
| [22] | Lingbo Li, Zhichun Li, Fusen Guo, Haoyu Yang, Jingtian Wei, and Zhengyi Yang. Prototype comparison convolutional networks for one-shot segmentation. IEEE Access, 12:54978–54990, 2024. [ bib | DOI | Abstract ] |
| [21] | Tianming Zhang, Xinwei Cai, Lu Chen, Zhengyi Yang, Yunjun Gao, Bin Cao, and Jing Fan. Towards efficient simulation-based constrained temporal graph pattern matching. World Wide Web, 27(3):22, Apr 2024. [ bib | DOI | http | Abstract ] |
| [20] | Sai Li, Peng Kou, Miao Ma, Haoyu Yang, Shuo Huang, and Zhengyi Yang. Application of semi-supervised learning in image classification: Research on fusion of labeled and unlabeled data. IEEE Access, 12:27331–27343, 2024. [ bib | DOI | Abstract ] |
| [19] | Wenqian Zhang, Zhengyi Yang*, Dong Wen, and Xiaoyang Wang. Efficient distributed core graph decomposition. In 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pages 1023–1031, 2023. [ bib | DOI | Abstract ] |
| [18] | Liuyi Chen, Bocheng Han, Xuesong Wang, Jiazhen Zhao, Wenke Yang, and Zhengyi Yang*. Machine learning methods in weather and climate applications: A survey. Applied Sciences, 13(21), 2023. [ bib | DOI | http | Abstract ] |
| [17] | Miao Ma, Zhengyi Yang*, Kongzhang Hao, Liuyi Chen, Chunling Wang, and Yi Jin. An empirical analysis of just-in-time compilation in modern databases. In Proceedings of the 34th edition of the Australasian Database Conference (ADC), pages 227–240. Springer, 2023. [ bib | DOI | http | Abstract ] |
| [16] | Nimish Ukey, Zhengyi Yang*, Wenke Yang, Binghao Li, and Runze Li. knn join for dynamic high-dimensional data: A parallel approach. In Proceedings of the 34th edition of the Australasian Database Conference (ADC), pages 3–16. Springer, 2023. [ bib | DOI | http | Abstract ] |
| [15] | Nimish Ukey#, Guangjian Zhang#, Zhengyi Yang*, Binghao Li, Wei Li, and Wenjie Zhang. Efficient continuous knn join over dynamic high-dimensional data. World Wide Web, Sep 2023. [ bib | DOI | http | Abstract ] |
| [14] | Kongzhang Hao, Long Yuan, Zhengyi Yang, Wenjie Zhang, and Xuemin Lin. Efficient and scalable distributed graph structural clustering at billion scale. In Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA), pages 234–251, Cham, 2023. Springer Nature Switzerland. [ bib | DOI | http | Abstract ] |
| [13] | Zhengyi Yang, Wenjie Zhang, Xuemin Lin*, Ying Zhang, and Shunyang Li. Hgmatch: A match-by-hyperedge approach for subgraph matching on hypergraphs. In 2023 IEEE 39th International Conference on Data Engineering (ICDE), pages 2063–2076, 2023. [ bib | DOI | Abstract ] |
| [12] | Nimish Ukey, Zhengyi Yang*, Binghao Li, Guangjian Zhang, Yiheng Hu, and Wenjie Zhang. Survey on exact knn queries over high-dimensional data space. Sensors, 23(2), 2023. [ bib | DOI | http | Abstract ] |
| [11] | Weixiao Xu, Lin Sun, Cheng Zhen, Bo Liu, Zhengyi Yang, and Wenke Yang. Deep learning-based image recognition of agricultural pests. Applied Sciences, 12(24), 2022. [ bib | DOI | http | Abstract ] |
| [10] | Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, and Wenjie Zhang. Hop-constrained s-t simple path enumeration in large uncertain graphs. In Proceedings of the 33rd edition of the Australasian Database Conference (ADC), pages 115–127. Springer, 2022. [ bib | DOI | http | Abstract ] |
| [9] | Nimish Ukey, Zhengyi Yang*, Guangjian Zhang, Boge Liu, Binghao Li, and Wenjie Zhang. Efficient knn join over dynamic high-dimensional data. In Proceedings of the 33rd edition of the Australasian Database Conference (ADC), pages 63–75. Springer, 2022. [ bib | DOI | http | Abstract ] |
| [8] | Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang, Long Yuan, and Xuemin Lin. Hop-constrained s-t simple path enumeration in billion-scale labelled graphs. In Proceedings of the 23rd International Conference on Web Information Systems Engineering (WISE), pages 49–64. Springer, 2022. [ bib | DOI | http | Abstract ] |
| [7] | Shunyang Li, Zhengyi Yang, Xianhang Zhang, Wenjie Zhang, and Xuemin Lin. Sql2cypher: Automated data and query migration from rdbms to gdbms. In Proceedings of the 22nd International Conference on Web Information Systems Engineering (WISE), pages 510–517. Springer, 2021. [ bib | DOI | http | Abstract ] |
| [6] | Zhengyi Yang, Longbin Lai, Xuemin Lin, Kongzhang Hao, and Wenjie Zhang. Huge: An efficient and scalable subgraph enumeration system. In Proceedings of the 2021 International Conference on Management of Data (SIGMOD), SIGMOD/PODS '21, pages 2049–2062, New York, NY, USA, 2021. Association for Computing Machinery. [ bib | DOI | http | Abstract ] |
| [5] | Xin Jin, Zhengyi Yang, Xuemin Lin, Shiyu Yang, Lu Qin, and You Peng. Fast: Fpga-based subgraph matching on massive graphs. In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pages 1452–1463, 2021. [ bib | DOI | Abstract ] |
| [4] | Ran Wang, Zhengyi Yang, Wenjie Zhang, and Xuemin Lin. An empirical study on recent graph database systems. In Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management (KSEM), pages 328–340, Berlin, Heidelberg, 2020. Springer. [ bib | DOI | http | Abstract ] |
| [3] | Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, and Jingren Zhou. Distributed subgraph matching on timely dataflow. In Proc. VLDB Endow. (VLDB), volume 12, pages 1099–1112. VLDB Endowment, June 2019. [ bib | DOI | http | Abstract ] |
| [2] | Kongzhang Hao, Zhengyi Yang, Longbin Lai, Zhengmin Lai, Xin Jin, and Xuemin Lin. Patmat: A distributed pattern matching engine with cypher. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), CIKM '19, pages 2921–2924, New York, NY, USA, 2019. Association for Computing Machinery. [ bib | DOI | http | Abstract ] |
| [1] | Zhengmin Lai, Zhengyi Yang, and Longbin Lai. Improving distributed subgraph matching algorithm on timely dataflow. In 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), pages 266–273, 2019. [ bib | DOI | Abstract ] |
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