ORCID as entered in ROS
![orcid_icon](/themes/resgate8/images/icons/ORCIDiD_icon24x24.png)
Select Publications
2009, 'Probabilistic Skyline Operator over Sliding Windows', in Proceedings of the 25th International Conference on Data Engineering, IEEE Computer Society, USA, presented at International Conference on Data Engineering, Shanghai China, 29 March 2009 - 02 April 2009, http://dx.doi.org/10.1109/ICDE.2009.83
,2008, 'Managing uncertain data: Probabilistic approaches', in 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, presented at 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, 20 July 2008 - 22 July 2008
,2008, 'Ranking queries on uncertain data: a probabilistic threshold approach', in 2008 ACM SIGMOD international conference, Vancouver BC Canada, presented at ACM SIGMOD international conference on management of data, 2008, Vancouver BC Canada, 09 June 2008 - 12 June 2008
,2008, 'Efficiently answering probabilistic threshold top-k queries on uncertain data', in 24th international conference on data engineering, Mexico, presented at IEEE 24th International Conference on Data Engineering, ICDE`08 2008, Mexico, 07 April 2008 - 12 April 2008
,2022, 'ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract)', in Proceedings - International Conference on Data Engineering, Vol. 2022-May, pp. 1511 - 1512, http://dx.doi.org/10.1109/ICDE53745.2022.00132
,2023, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, , http://dx.doi.org/10.48550/arxiv.2312.01424
,2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096
,2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096.v1
,2022, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, , http://dx.doi.org/10.48550/arxiv.2208.06144
,2021, Towards User Engagement Dynamics in Social Networks, , http://dx.doi.org/10.48550/arxiv.2110.12193
,2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, , http://dx.doi.org/10.48550/arxiv.2103.14294
,2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, , http://dx.doi.org/10.48550/arxiv.2004.08068
,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
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