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ORCIDZhimin Yao
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2020 – today
- 2024
[j1]Zhimin Yao:
Traditional landscape painting and art image restoration methods based on structural information guidance. J. Intell. Syst. 33(1) (2024)
2010 – 2019
- 2017
- [c7]Bo Wang, Zhimin Yao, Deliang Liu, Yunfei Shi:
Joint Range and DOA Estimation for Near-Field Signals with a Few Snapshots. CSPS 2017: 2575-2581 - 2015
- [c6]Jie Mei, Xinxin Kou, Zhimin Yao, Andrew Rau-Chaplin
, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios:
Efficient Computation of Co-occurrence Based Word Relatedness. DocEng 2015: 43-46 - [c5]Xinxin Kou, Jie Mei, Zhimin Yao, Andrew Rau-Chaplin, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios:
Efficient Parallelization of the Google Trigram Method for Document Relatedness Computation. ICPP Workshops 2015: 98-104 - 2014
- [c4]Andrew Rau-Chaplin, Zhimin Yao, Norbert Zeh:
Efficient Data Structures for Risk Modelling in Portfolios of Catastrophic Risk Using MapReduce. ICCS 2014: 1557-1568 - 2013
- [c3]Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh:
QuPARA: Query-driven large-scale portfolio aggregate risk analysis on MapReduce. IEEE BigData 2013: 703-709 - [c2]Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin:
High performance risk aggregation: addressing the data processing challenge the hadoop mapreduce way. ScienceCloud@HPDC 2013: 53-60 - [c1]Andrew Rau-Chaplin, Blesson Varghese, Zhimin Yao:
A MapReduce Framework for Analysing Portfolios of Catastrophic Risk with Secondary Uncertainty. ICCS 2013: 2317-2326 - [i2]Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh:
QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce. CoRR abs/1308.3615 (2013) - [i1]Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin:
High Performance Risk Aggregation: Addressing the Data Processing Challenge the Hadoop MapReduce Way. CoRR abs/1311.5686 (2013)
Coauthor Index
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