Zobrazeno 1 - 10
of 1 019
pro vyhledávání: '"TIAN Yuanyuan"'
Autor:
Alotaibi, Rana, Tian, Yuanyuan, Grafberger, Stefan, Camacho-Rodríguez, Jesús, Bruno, Nicolas, Kroth, Brian, Matusevych, Sergiy, Agrawal, Ashvin, Behera, Mahesh, Gosalia, Ashit, Galindo-Legaria, Cesar, Joshi, Milind, Potocnik, Milan, Sezgin, Beysim, Li, Xiaoyu, Curino, Carlo
Customer demand, regulatory pressure, and engineering efficiency are the driving forces behind the industry-wide trend of moving from siloed engines and services that are optimized in isolation to highly integrated solutions. This is confirmed by the
Externí odkaz:
http://arxiv.org/abs/2411.13704
Autor:
Tian, Yuanyuan, Li, Wenwen, Hu, Lei, Chen, Xiao, Brook, Michael, Brubaker, Michael, Zhang, Fan, Liljedahl, Anna K.
Retrieval and recommendation are two essential tasks in modern search tools. This paper introduces a novel retrieval-reranking framework leveraging Large Language Models (LLMs) to enhance the spatiotemporal and semantic associated mining and recommen
Externí odkaz:
http://arxiv.org/abs/2411.12880
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Huang, Hanxian, Siddiqui, Tarique, Alotaibi, Rana, Curino, Carlo, Leeka, Jyoti, Jindal, Alekh, Zhao, Jishen, Camacho-Rodriguez, Jesus, Tian, Yuanyuan
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries ineffective for optimizing future workloads. To address this challeng
Externí odkaz:
http://arxiv.org/abs/2401.03723
Publikováno v:
Proceedings of the ACM on Management of Data (2024) Volume 1 Issue 4
Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes of data on a daily basis, and
Externí odkaz:
http://arxiv.org/abs/2401.01280
Autor:
TIAN Yuanyuan, PENG Lei
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 288-292 (2024)
Objective The flexible adjustment of train marshalling is an important measure and development trend for urban rail transit train traction energy saving. In order to achieve precise delivery of transport capacity, reduce operational energy consumptio
Externí odkaz:
https://doaj.org/article/9c0739c60b5f47a6b2cf10e3913bddc3
Publikováno v:
Transactions in GIS (2023)
Initiated by the University Consortium of Geographic Information Science (UCGIS), GIS&T Body of Knowledge (BoK) is a community-driven endeavor to define, develop, and document geospatial topics related to geographic information science and technologi
Externí odkaz:
http://arxiv.org/abs/2305.09877
Autor:
Tian, Yuanyuan
Rapidly growing social networks and other graph data have created a high demand for graph technologies in the market. A plethora of graph databases, systems, and solutions have emerged, as a result. On the other hand, graph has long been a well studi
Externí odkaz:
http://arxiv.org/abs/2211.13170
Autor:
Tian, Yuanyuan, Li, Wenwen
Knowledge graph technology is considered a powerful and semantically enabled solution to link entities, allowing users to derive new knowledge by reasoning data according to various types of reasoning rules. However, in building such a knowledge grap
Externí odkaz:
http://arxiv.org/abs/2211.06011