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Fumin Qi
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2020 – today
- 2023
- [j3]Zisen Fang
, Fumin Qi, Yichuan Dong, Yong Zhang, Shengzhong Feng:
Parallel tensor decomposition with distributed memory based on hierarchical singular value decomposition. Concurr. Comput. Pract. Exp. 35(17) (2023) - 2020
- [j2]Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fei Ma, Chang-Hui Hu, Ziyun Cai, Fumin Qi:
Scale-fusion framework for improving video-based person re-identification performance. Neural Comput. Appl. 32(16): 12841-12858 (2020) - [c6]Zisen Fang, Fumin Qi, Yichuan Dong, Yong Zhang, Shengzhong Feng:
Distributed Dense Tucker Decomposition Based on Hierarchical SVD. PAAP 2020: 355-364 - [c5]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaodong Jia, Li Cheng, Yichuan Dong, Ziseng Fang, Fei Ma, Shengzhong Feng:
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder. PDCAT 2020: 17-29
2010 – 2019
- 2018
- [c4]Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fumin Qi, Fei Ma, Xiaodong Jia, Liang Yang, Chunhe Wang:
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification. ICONIP (1) 2018: 439-451 - 2017
- [j1]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaoyuan Xie, Baowen Xu
, Shi Ying:
Software effort estimation based on open source projects: Case study of Github. Inf. Softw. Technol. 92: 145-157 (2017) - 2016
- [c3]Xiao-Yuan Jing, Fumin Qi, Fei Wu, Baowen Xu
:
Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation. ICSE 2016: 607-618 - [c2]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Li Cheng:
Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation. ASE 2016: 75-86 - 2015
- [c1]Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Fumin Qi, Baowen Xu
:
Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning. ESEC/SIGSOFT FSE 2015: 496-507
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