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ORCIDZhengpeng Wu
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2020 – today
- 2021
[j4]Jianke Chen, Zhengpeng Wu:
A positive real order weakening buffer operator and its applications in grey prediction model. Appl. Soft Comput. 99: 106922 (2021)
2010 – 2019
- 2018
- [c9]Ying-Jian Qi, Zhengpeng Wu, Liyun Wu, Xiaomei Liu:
A Positive Real Order Strengthening Buffer Operator and Its Application in Data Prediction. ICIS 2018: 732-735 - [c8]Liyun Wu, Xiaomei Liu, Ying-Jian Qi, Zhengpeng Wu:
Propagation Path Loss Prediction Based-on Grey Verhulst Model. ICIS 2018: 772-775 - 2016
- [j3]Kui Yang
, Li Yan, Guoman Huang, Chu Chen, Zhengpeng Wu:
Monitoring Building Deformation with InSAR: Experiments and Validation. Sensors 16(12): 2182 (2016) - [c7]Dan Zhang, Kuan He, Xuemin Shi, Zhengpeng Wu, Hui Zhang:
The Production Investigation of DOM Based on Full Digital Photogrammetric System VirtuoZo. SmartCom 2016: 487-494 - [c6]Liyun Wu, Zhengpeng Wu, Ying-Jian Qi:
An improved prediction model for interval grey number. SMC 2016: 1730-1734 - 2014
- [c5]Ying-Jian Qi, Zhengpeng Wu, Ying Li, Jing Yu:
Grey discrete parameters model and its application. ICIS 2014: 399-404 - [c4]Ying-Jian Qi, Zhengpeng Wu, Ying Li, Jing Yu:
Grey discrete parameters model and its application. SMC 2014: 2050-2054 - 2011
- [j2]Zhengpeng Wu, Xi Wang, Xuegong Zhang:
Using non-uniform read distribution models to improve isoform expression inference in RNA-Seq. Bioinform. 27(4): 502-508 (2011) - [j1]Robin G. Qiu, Zhengpeng Wu, Yan Yu:
A tractable approximation approach to improving hotel service quality. J. Serv. Sci. Res. 3(1): 1-20 (2011) - 2010
- [c3]Zhengpeng Wu, Ying-Jian Qi, Qing Li, Sifeng Liu, Naiming Xie:
Study on the weakening buffer operator based on the interpolatory Function. SMC 2010: 4096-4100
2000 – 2009
- 2009
- [c2]Zhengpeng Wu, Sifeng Liu, Chuanmin Mi:
A Note On the Sequence of Weakening Buffer Operator. SMC 2009: 1187-1190 - [c1]Chuanmin Mi, Sifeng Liu, Yaoguo Dang, Jianling Wang, Zhengpeng Wu:
Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information. SMC 2009: 1593-1597
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