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2020 – today
- 2024
[j18]Yun Liang
, Xinjie Xiao, Shaojian Qiu, Yuqing Zhang, Zhuo Su:
Video object segmentation via couple streams and feature memory. IET Image Process. 18(9): 2257-2272 (2024)- [j17]Shaojian Qiu, Mengyang Huang, Yun Liang, Chaoda Peng, Yuan Yuan:
Code Multiview Hypergraph Representation Learning for Software Defect Prediction. IEEE Trans. Reliab. 73(4): 1863-1876 (2024) - [j16]Shaojian Qiu, Huihao Huang, Wenchao Jiang, Fanlong Zhang, Weilin Zhou:
Defect Prediction via Tree-Based Encoding with Hybrid Granularity for Software Sustainability. IEEE Trans. Sustain. Comput. 9(3): 249-260 (2024) - [c9]Yun Liang, Hai Lin, Shaojian Qiu, Yihang Zhang:
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks. ICASSP 2024: 1361-1365 - [c8]Shaojian Qiu, Xiaokang You, Wei Rong, Lifeng Huang, Yun Liang:
Boosting Imperceptibility of Adversarial Attacks for Environmental Sound Classification. ICTAI 2024: 790-797 - [c7]Shaojian Qiu, Shaosheng Wang, Wei Rong, Lili Liao, Yishen Lin:
Software Defect Prediction via Code Grayscale Pixel Visualization with Fusion Attention (S). SEKE 2024: 170-174 - [c6]Shaojian Qiu, Huihao Huang, Jianxiang Luo, Yingjie Kuang, Haoyu Luo:
BAFLineDP: Code Bilinear Attention Fusion Framework for Line- Level Defect Prediction. SANER 2024: 1-12 - [i2]Yun Liang, Hai Lin, Shaojian Qiu, Yihang Zhang:
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks. CoRR abs/2401.10544 (2024) - [i1]Shaojian Qiu, Huihao Huang, Jianxiang Luo, Yingjie Kuang, Haoyu Luo:
BAFLineDP: Code Bilinear Attention Fusion Framework for Line-Level Defect Prediction. CoRR abs/2402.07132 (2024) - 2023
- [j15]Wenchao Jiang, Shaojian Qiu, Tiancai Liang, Fanlong Zhang:
Cross-project clone consistent-defect prediction via transfer-learning method. Inf. Sci. 635: 138-150 (2023) - [j14]Jun Liang, Keyi Huang, Shaojian Qiu, Hai Lin, Keng Lian:
Trade filtering method for trend following strategy based on LSTM-extracted feature and machine learning. J. Intell. Fuzzy Syst. 44(4): 6131-6149 (2023) - [c5]Shaojian Qiu, Shaosheng Wang, Yujun Liang, Wenchao Jiang, Fanlong Zhang:
Code Clone Detection via Software Visualization Representation Learning. SEKE 2023: 268-273 - 2022
- [j13]Chaoda Peng, Shaojian Qiu:
A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning. Appl. Soft Comput. 118: 108495 (2022) - [c4]Shaojian Qiu, Shaosheng Wang, Xuhong Tian, Mengyang Huang, Qiong Huang:
Visualization-Based Software Defect Prediction via Convolutional Neural Network with Global Self-Attention. QRS 2022: 189-198 - 2021
- [j12]Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai:
Correlation feature and instance weights transfer learning for cross project software defect prediction. IET Softw. 15(1): 55-74 (2021) - [j11]Quanyi Zou, Lu Lu, Zhanyu Yang, Xiaowei Gu, Shaojian Qiu:
Joint feature representation learning and progressive distribution matching for cross-project defect prediction. Inf. Softw. Technol. 137: 106588 (2021) - [c3]ShuaiHui Huang, Xuhong Tian, Dong Huang, Shaojian Qiu, Wenzhong Wang, Jinfeng Wang:
Recognition of Alzheimer's Disease Using Structural MRI Based on Smooth Group L1/2. ICBBS 2021: 1-6 - 2020
- [j10]Jiehan Deng, Lu Lu, Shaojian Qiu, Yangpeng Ou:
A Suitable AST Node Granularity and Multi-Kernel Transfer Convolutional Neural Network for Cross-Project Defect Prediction. IEEE Access 8: 66647-66661 (2020) - [j9]Jiehan Deng, Lu Lu, Shaojian Qiu:
Software defect prediction via LSTM. IET Softw. 14(4): 443-450 (2020) - [j8]Xiaowei Gu, Lu Lu, Shaojian Qiu, Quanyi Zou, Zhanyu Yang:
Sentiment key frame extraction in user-generated micro-videos via low-rank and sparse representation. Neurocomputing 410: 441-453 (2020)
2010 – 2019
- 2019
- [j7]Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song:
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7: 10362-10373 (2019) - [j6]Ziyi Cai, Lu Lu, Shaojian Qiu:
An Abstract Syntax Tree Encoding Method for Cross-Project Defect Prediction. IEEE Access 7: 170844-170853 (2019) - [j5]Shaojian Qiu, Lu Lu, Siyu Jiang:
Joint distribution matching model for distribution-adaptation-based cross-project defect prediction. IET Softw. 13(5): 393-402 (2019) - [j4]Shaojian Qiu, Lu Lu, Siyu Jiang, Yang Guo:
An Investigation of Imbalanced Ensemble Learning Methods for Cross-Project Defect Prediction. Int. J. Pattern Recognit. Artif. Intell. 33(12): 1959037:1-1959037:19 (2019) - [j3]Shaojian Qiu, Ziyi Cai, Lu Lu:
基于卷积神经网络的代价敏感软件缺陷预测模型 (Cost-sensitive Convolutional Neural Network Model for Software Defect Prediction). 计算机科学 46(11): 156-160 (2019) - [c2]Shaojian Qiu, Lu Lu, Ziyi Cai, Siyu Jiang:
Cross-Project Defect Prediction via Transferable Deep Learning-Generated and Handcrafted Features. SEKE 2019: 431-552 - 2018
- [j2]Shaojian Qiu, Lu Lu, Siyu Jiang:
Multiple-components weights model for cross-project software defect prediction. IET Softw. 12(4): 345-355 (2018) - [j1]Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu:
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321: 49-60 (2018) - 2016
- [c1]Libiao Jiang, Huachuan Qiu, Jie Yang, Shucheng Huang, Le Ma, Shaojian Qiu:
Coordinated Control Strategy of EPS and TCS for Four-Wheel Drive Vehicle. ISCID (1) 2016: 148-153
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