ORCID as entered in ROS

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2019, 'PatMat: A distributed pattern matching engine with Cypher', in International Conference on Information and Knowledge Management Proceedings, pp. 2921 - 2924, http://dx.doi.org/10.1145/3357384.3357840
,2019, 'Improving distribued subgraph matching algorithm on timely dataflow', in Proceedings 2019 IEEE 35th International Conference on Data Engineering Workshops Icdew 2019, pp. 266 - 273, http://dx.doi.org/10.1109/ICDEW.2019.000-2
,2019, 'Distributed Subgraph Matching on Timely Dataflow', in Proc. VLDB Endow., VLDB Endowment, pp. 1099–1112 - 1099–1112, http://dx.doi.org/10.14778/3339490.3339494
,Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part I', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7232-2
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part II', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7235-3
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part III', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7238-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part IV', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7241-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part V', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7244-5
2023, An Empirical Analysis of Just-in-Time Compilation in Modern Databases, http://dx.doi.org/10.1007/978-3-031-47843-7_16
,2023, Machine Learning Methods in Weather and Climate Applications: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v2
,2023, Machine Learning Methods in Climate Prediction: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v1
,2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, http://arxiv.org/abs/2302.06119v2
,2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, http://dx.doi.org/10.48550/arxiv.2103.14294
,2021, FAST: FPGA-based Subgraph Matching on Massive Graphs, http://dx.doi.org/10.48550/arxiv.2102.10768
,2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, http://dx.doi.org/10.48550/arxiv.1906.11518
,Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
,Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
,Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
,Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], http://dx.doi.org/10.21203/rs.3.rs-2572561/v4
,Towards Efficient Simulation-Based Constrained Temporal Graph Pattern Matching, http://dx.doi.org/10.2139/ssrn.4187676
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