Fumin Qi
Wuhan University
13 Papers
12 Citations
Fumin Qi is an academic researcher from Wuhan University. The author has contributed to research in topics: Computer science & Singular value decomposition. The author has an hindex of 5, co-authored 10 publications. Previous affiliations of Fumin Qi include Shenzhen University & Guizhou Normal University.
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Papers
Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning
Xiao-Yuan Jing,Fei Wu,Xiwei Dong,Fumin Qi,Baowen Xu +4 more
- 30 Aug 2015
TL;DR: Based on the unified metric representation proposed, canonical correlation analysis (CCA), an effective transfer learning method, is introduced into CCDP to make the data distributions of source and target companies similar.
205
Software effort estimation based on open source projects: Case study of Github
Fumin Qi,Xiao-Yuan Jing,Xiao-Yuan Jing,Xiaoke Zhu,Xiaoke Zhu,Xiaoyuan Xie,Baowen Xu,Shi Ying +7 more
TL;DR: Effort estimation based on Open Source Project (OSP) is an effective way for getting the effort required by a new project, especially for the case of lacking training data.
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Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation
Fumin Qi,Xiao-Yuan Jing,Xiaoke Zhu,Fei Wu,Li Cheng +4 more
- 25 Aug 2016
TL;DR: This paper aims to provide data owners with an effective approach of privatizing their data before release by proposing a manifold learning based bi-directional data obfuscation (MLBDO) algorithm, which uses two nearest neighbors, which are selected respectively from the previous and next subclasses by utilizing the manifoldlearning based nearest neighbor selector.
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Application of improved PSO-LSSVM on network threat detection
TL;DR: An improved PSO-LSSVM algorithm based on Divide-and-Conquer to split the optimal domain where the parameters of LSSVM are in and introduce variation factors to make the particles escape from the local optimum.
3
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification
Li Cheng,Xiao-Yuan Jing,Xiao-Yuan Jing,Xiaoke Zhu,Fumin Qi,Fei Ma,Xiaodong Jia,Liang Yang,Chunhe Wang +8 more
- 13 Dec 2018
TL;DR: A novel hybrid 2D and 3D convolution based recurrent neural network for video-based person re-id task, which can simultaneously make use of the local short-term fast-varying motion information and the global long-term spatial and temporal information.
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