Fumin Qi

13 papers A* 2A 1C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cost-adaptive multi-level semantic feature learning for source code based bug severity prediction.
Sci. Comput. Program.
Xiaoke Zhu, Yufeng Shi, Xiaopan Chen, Caihong Yuan, Fumin Qi, Xiao-Yuan Jing
2026 J jnl
Enhanced kinship verification via context-aware multi-scale transformer.
Vis. Comput.
Xiaoke Zhu, Boyuan Li, Xiaopan Chen, Fumin Qi, Caihong Yuan, Xiao-Yuan Jing
2025 J jnl
Confidence guided semi-supervised cross-modality person re-identification.
Pattern Recognit.
Xiaoke Zhu, Lingyun Dong, Xiaopan Chen, Xinyu Zhang, Fumin Qi, Xiao-Yuan Jing
2024 A conf
Similarity Mining via Implicit Matching Pattern Learning for Kinship Verification.
ICME
Xiaoke Zhu, Danyang Li, Xiaopan Chen, Fumin Qi, Fan Zhang, Xiao-Yuan Jing
2023 J jnl
Parallel tensor decomposition with distributed memory based on hierarchical singular value decomposition.
Concurr. Comput. Pract. Exp.
Zisen Fang, Fumin Qi, Yichuan Dong, Yong Zhang, Shengzhong Feng
2020 — conf
Distributed Dense Tucker Decomposition Based on Hierarchical SVD.
PAAP
Zisen Fang, Fumin Qi, Yichuan Dong, Yong Zhang, Shengzhong Feng
2020 C conf
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder.
PDCAT
Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaodong Jia, Li Cheng, Yichuan Dong, Ziseng Fang, Fei Ma, Shengzhong Feng
2020 J jnl
Scale-fusion framework for improving video-based person re-identification performance.
Neural Comput. Appl.
Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fei Ma, Chang-Hui Hu, Ziyun Cai, Fumin Qi
2018 — conf
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification.
ICONIP (1)
Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fumin Qi, Fei Ma, Xiaodong Jia, Liang Yang, Chunhe Wang
2017 J jnl
Software effort estimation based on open source projects: Case study of Github.
Inf. Softw. Technol.
Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaoyuan Xie, Baowen Xu, Shi Ying
2016 A* conf
Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation.
ICSE
Xiao-Yuan Jing, Fumin Qi, Fei Wu, Baowen Xu
2016 A* conf
Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation.
ASE
Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Li Cheng
2015 — conf
Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning.
ESEC/SIGSOFT FSE
Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Fumin Qi, Baowen Xu