An Optimal Solution of Storing and Processing Small Image Files on Hadoop. - Qiubin Su; Lu Lu 011; QiuYan Feng (BICS, 2018)

Simulation research for telecommunication data mining based on mobile information node. - Yang Guo 006; Lu Lu 011 (IET Softw., 2018)

Multiple-components weights model for cross-project software defect prediction. - Shaojian Qiu; Lu Lu 011; Siyu Jiang (IET Softw., 2018)

Research on user behavior clustering algorithm based on mobile application. - Qiubin Su; Zhihao Jia; Lu Lu 011 (J. Intell. Fuzzy Syst., 2018)

Cross-Project Defect Prediction via Transferable Deep Learning-Generated and Handcrafted Features. - Shaojian Qiu; Lu Lu 011; Ziyi Cai; Siyu Jiang (SEKE, 2019)

An Abstract Syntax Tree Encoding Method for Cross-Project Defect Prediction. - Ziyi Cai; Lu Lu 011; Shaojian Qiu (IEEE Access, 2019)

A Distributed Cooperative Co-evolutionary CMA Evolution Strategy for Global Optimization of Large-Scale Overlapping Problems. - Ya-Hui Jia; Yu-Ren Zhou; Ying Lin 001; Wei-Jie Yu 001; Ying Gao 004; Lu Lu 011 (IEEE Access, 2019)

Joint distribution matching model for distribution-adaptation-based cross-project defect prediction. - Shaojian Qiu; Lu Lu 011; Siyu Jiang (IET Softw., 2019)

Application of a Traffic Flow Prediction Model Based on Neural Network in Intelligent Vehicle Management. - Yang Guo 006; Lu Lu 011 (Int. J. Pattern Recognit. Artif. Intell., 2019)

An Investigation of Imbalanced Ensemble Learning Methods for Cross-Project Defect Prediction. - Shaojian Qiu; Lu Lu 011; Siyu Jiang; Yang Guo 006 (Int. J. Pattern Recognit. Artif. Intell., 2019)

An automatic test case generation method based on user session and agglutinate hierarchical clustering algorithm. - Yang Guo 006; Lu Lu 011 (J. Comput. Methods Sci. Eng., 2019)

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). - Shaojian Qiu; Ziyi Cai; Lu Lu 011 (计算机科学, 2019)

Defect Prediction via LSTM Based on Sequence and Tree Structure. - Xuan Zhou; Lu Lu 011 (QRS, 2020)

A Suitable AST Node Granularity and Multi-Kernel Transfer Convolutional Neural Network for Cross-Project Defect Prediction. - Jiehan Deng; Lu Lu 011; Shaojian Qiu; Yangpeng Ou (IEEE Access, 2020)

An Adversarial Discriminative Convolutional Neural Network for Cross-Project Defect Prediction. - Lei Sheng; Lu Lu 011; Junhao Lin (IEEE Access, 2020)

Attentional Generative Adversarial Networks With Representativeness and Diversity for Generating Text to Realistic Image. - Anjie Tian; Lu Lu 011 (IEEE Access, 2020)

Software defect prediction via LSTM. - Jiehan Deng; Lu Lu 011; Shaojian Qiu (IET Softw., 2020)

Sentiment key frame extraction in user-generated micro-videos via low-rank and sparse representation. - Xiaowei Gu; Lu Lu 011; Shaojian Qiu; Quanyi Zou; Zhanyu Yang (Neurocomputing, 2020)

CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis. - Xihong Ye; Lu Lu 011 (IJCNN, 2021)

Multi-source Cross Project Defect Prediction with Joint Wasserstein Distance and Ensemble Learning. - Quanyi Zou; Lu Lu 011; Zhanyu Yang; Hao Xu (ISSRE, 2021)

A Deep Learning-Based Sepsis Estimation Scheme. - Bilal Yaseen Al-Mualemi; Lu Lu 011 (IEEE Access, 2021)

Semantic Feature Learning via Dual Sequences for Defect Prediction. - Junhao Lin; Lu Lu 011 (IEEE Access, 2021)

Correlation feature and instance weights transfer learning for cross project software defect prediction. - Quanyi Zou; Lu Lu 011; Shaojian Qiu; Xiaowei Gu; Ziyi Cai (IET Softw., 2021)

Joint feature representation learning and progressive distribution matching for cross-project defect prediction. - Quanyi Zou; Lu Lu 011; Zhanyu Yang; Xiaowei Gu; Shaojian Qiu (Inf. Softw. Technol., 2021)

Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing. - Xingfu Yan; Wing W. Y. Ng; Biao Zeng; Changlu Lin; Yuxian Liu; Lu Lu 011; Ying Gao 004 (IEEE Internet Things J., 2021)

ASD-ISSPA: Adaptive Stochastic Droppath and Interactive Slow Semi-Polarized Attention based on FPN for Object Detection. - Yukang Yang; Hao Xu; Lu Lu 011 (IJCNN, 2022)

Software Defect Prediction via GIN with Hybrid Graphical Features. - Xuanye Wang; Lu Lu 011; Boye Wang; Yudong Shang; Hao Yang (QRS Companion, 2022)

Two-Stage AST Encoding for Software Defect Prediction. - Yanwu Zhou; Lu Lu 011; Quanyi Zou; Cuixu Li (SEKE, 2022)

A high-performance batched matrix multiplication framework for GPUs under unbalanced input distribution. - Ruimin Wang; Zhiwei Yang; Hao Xu; Lu Lu 011 (J. Supercomput., 2022)

Software Vulnerability Detection via Doc2vec with path representations. - Tong Wan; Lu Lu 011; Hao Xu; Quanyi Zou (QRS Companion, 2023)

A Software Defect Prediction Method based on Multi-type Features and Feature Selection. - Jiaxin Liu; Hao Xu; Lu Lu 011; Quanyi Zou; Zhanyu Yang (SEKE, 2023)

Software Defect Prediction via Positional Hierarchical Attention Network (S). - Xinyan Yi; Hao Xu; Lu Lu 011; Quanyi Zou; Zhanyu Yang (SEKE, 2023)

Characterization of heart rate variability and oxygen saturation in sepsis patients. - Bilal Yaseen Al-Mualemi; Lu Lu 011 (Expert Syst. J. Knowl. Eng., 2023)

IC-GraF: An Improved Clustering with Graph-Embedding-Based Features for Software Defect Prediction. - Xuanye Wang; Lu Lu 011; Qingyan Tian; Haishan Lin (IET Softw., 2024)

Ensemble Kernel-Mapping-Based Ranking Support Vector Machine for Software Defect Prediction. - Zhanyu Yang; Lu Lu 011; Quanyi Zou (IEEE Trans. Reliab., 2024)

LE-GEMM: A lightweight emulation-based GEMM with precision refinement on GPU. - Yu Zhang; Lu Lu 011; Zhanyu Yang; Zhihong Liang; Siliang Suo (J. Syst. Archit., 2025)

A load-balanced acceleration method for small and irregular batch matrix multiplication on GPU. - Yu Zhang; Lu Lu 011; Zhanyu Yang; Zhihong Liang; Siliang Suo (J. Syst. Archit., 2025)