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Shang Zheng
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2020 – today
- 2024
- [j14]Xing Zong, Shang Zheng, Haitao Zou, Hualong Yu, Shang Gao:
GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation. Sci. Comput. Program. 238: 103166 (2024) - 2023
- [j13]Xing Zong, Guiyu Li, Shang Zheng, Haitao Zou, Hualong Yu, Shang Gao:
Heterogeneous Cross-Project Defect Prediction via Optimal Transport. IEEE Access 11: 12015-12030 (2023) - 2022
- [j12]Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao:
SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. Inf. Sci. 595: 70-88 (2022) - 2021
- [j11]Shang Zheng, Jinjing Gai, Hualong Yu, Haitao Zou, Shang Gao:
Training data selection for imbalanced cross-project defect prediction. Comput. Electr. Eng. 94: 107370 (2021) - [c6]Shang Zheng, Xuhong Huang, Shenping Tang, Nan Zhao, Ruohan Ma, Kuo-Chi Chang:
Indoor Air Conditioning Temperature Control System Based on RBF Fuzzy PID Control Algorithm. AISI 2021: 247-255 - 2020
- [j10]Yifan He, Haitao Zou, Hualong Yu, Shang Zheng, Shang Gao:
Adaptive and efficient high-order rating distance optimization model with slack variable. Knowl. Based Syst. 205: 106228 (2020) - [j9]Jinjing Gai, Shang Zheng, Hualong Yu, Hongji Yang:
Software defect prediction based on weighted extreme learning machine. Multiagent Grid Syst. 16(1): 67-82 (2020) - [j8]Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu:
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. 52(3): 2151-2173 (2020) - [j7]Shang Zheng, Jinjing Gai, Hualong Yu, Haitao Zou, Shang Gao:
Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information. Sci. Program. 2020: 8852705:1-8852705:18 (2020)
2010 – 2019
- 2019
- [j6]Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang:
Fuzzy One-Class Extreme Auto-encoder. Neural Process. Lett. 50(1): 701-727 (2019) - [j5]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Haitao Zou:
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Trans. Fuzzy Syst. 27(12): 2353-2367 (2019) - [j4]Hualong Yu, Xibei Yang, Shang Zheng, Changyin Sun:
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1088-1103 (2019) - 2018
- [j3]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Qi Wang, Xiaoyan Xi:
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access 6: 28488-28500 (2018) - [j2]Shang Zheng, Hongji Yang:
A deep learning approach to software evolution. Int. J. Comput. Appl. Technol. 58(3): 175-183 (2018) - 2016
- [c5]Shang Zheng, Xin Zuo, Hualong Yu, Hongji Yang, Jifeng Shen:
Understanding software reengineering requirements for cloud-oriented service architecture. ICAC 2016: 48-53 - 2013
- [b1]Shang Zheng:
An approach to implementing cloud service oriented legacy application evolution. De Montfort University, Leicester, UK, 2013 - [j1]Hongji Yang, Shang Zheng:
Software Evolution for Moving into and Moving within Internetware Paradigm. Int. J. Softw. Informatics 7(1): 41-61 (2013) - [c4]Shang Zheng, Hongji Yang:
A Three-Dimensional Approach to Evolving Software. COMPSAC Workshops 2013: 475-480 - 2012
- [c3]Hongji Yang, Shang Zheng, William Cheng-Chung Chu, Ching-Tsorng Tsai:
Linking Functions and Quality Attributes for Software Evolution. APSEC 2012: 250-259 - [c2]Shang Zheng, Hongji Yang:
An approach to supporting architecture evolution in Internetware. Internetware 2012: 4:1-4:9 - 2011
- [c1]Jiantao Zhou, Shang Zheng, Delin Jing, Hongji Yang:
An approach of creative application evolution on cloud computing platform. SAC 2011: 54-58
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