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ORCIDLu Lu 0011
Person information
- affiliation: South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- affiliation (PhD 1999): Xi'an Jiaotong University, Shaanxi, China
Other persons with the same name
- Lu Lu — disambiguation page
- Lu Lu 0001
![[0000-0003-2240-9547]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2240-9547")
— Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China (and 2 more) - Lu Lu 0002 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA (and 2 more)
- Lu Lu 0003 — New Jersey Institute of Technology, Department of Mechanical and Industrial Engineering, Newark, NJ, USA (and 3 more)
- Lu Lu 0004 — University of Tennessee, Health Science Center, Memphis, TN, USA (and 1 more)
- Lu Lu 0005 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China (and 1 more)
- Lu Lu 0006 — Huazhong University of Science and Technology, Services Computing Technology and System Lab / Big Data Technology and System Lab, China
- Lu Lu 0007 — University of South Florida, Department of Mathematics and Statistics, Tampa, FL, USA (and 1 more)
- Lu Lu 0008 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Lu Lu 0009 — LSI Corporation, Milpitas, CA, USA (and 1 more)
- Lu Lu 0010 — Brown University, Division of Applied Mathematics, Providence, RI, USA
- Lu Lu 0012 — Central South University, School of Mathematics and Statistics, Changsha, Hunan, China (and 1 more)
- Lu Lu 0013 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Lu Lu 0014 — Harbin Institute of Technology, School of Economic and Management, China
- Lu Lu 0015 — Bytedance Inc., ByteDance AI Lab, Speech and Audio Team
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2020 – today
- 2024
[j22]Zhanyu Yang, Lu Lu, Quanyi Zou:
Ensemble Kernel-Mapping-Based Ranking Support Vector Machine for Software Defect Prediction. IEEE Trans. Reliab. 73(1): 664-679 (2024)- 2023
- [j21]Bilal Yaseen Al-Mualemi, Lu Lu:
Characterization of heart rate variability and oxygen saturation in sepsis patients. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [c11]Tong Wan, Lu Lu, Hao Xu, Quanyi Zou:
Software Vulnerability Detection via Doc2vec with path representations. QRS Companion 2023: 131-139 - [c10]Xinyan Yi, Hao Xu, Lu Lu, Quanyi Zou, Zhanyu Yang:
Software Defect Prediction via Positional Hierarchical Attention Network (S). SEKE 2023: 228-231 - [c9]Jiaxin Liu, Hao Xu, Lu Lu, Quanyi Zou, Zhanyu Yang:
A Software Defect Prediction Method based on Multi-type Features and Feature Selection. SEKE 2023: 238-243 - 2022
- [j20]Ruimin Wang, Zhiwei Yang, Hao Xu, Lu Lu:
A high-performance batched matrix multiplication framework for GPUs under unbalanced input distribution. J. Supercomput. 78(2): 1741-1758 (2022) - [c8]Yukang Yang, Hao Xu, Lu Lu:
ASD-ISSPA: Adaptive Stochastic Droppath and Interactive Slow Semi-Polarized Attention based on FPN for Object Detection. IJCNN 2022: 1-8 - [c7]Xuanye Wang, Lu Lu, Boye Wang, Yudong Shang, Hao Yang:
Software Defect Prediction via GIN with Hybrid Graphical Features. QRS Companion 2022: 411-416 - [c6]Yanwu Zhou, Lu Lu, Quanyi Zou, Cuixu Li:
Two-Stage AST Encoding for Software Defect Prediction. SEKE 2022: 196-199 - 2021
- [j19]Bilal Yaseen Al-Mualemi, Lu Lu:
A Deep Learning-Based Sepsis Estimation Scheme. IEEE Access 9: 5442-5452 (2021) - [j18]Junhao Lin, Lu Lu:
Semantic Feature Learning via Dual Sequences for Defect Prediction. IEEE Access 9: 13112-13124 (2021) - [j17]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) - [j16]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) - [j15]Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu, Ying Gao:
Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing. IEEE Internet Things J. 8(18): 14127-14140 (2021) - [c5]Xihong Ye, Lu Lu:
CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis. IJCNN 2021: 1-8 - [c4]Quanyi Zou, Lu Lu, Zhanyu Yang, Hao Xu:
Multi-source Cross Project Defect Prediction with Joint Wasserstein Distance and Ensemble Learning. ISSRE 2021: 57-68 - 2020
- [j14]Anjie Tian, Lu Lu:
Attentional Generative Adversarial Networks With Representativeness and Diversity for Generating Text to Realistic Image. IEEE Access 8: 9587-9596 (2020) - [j13]Lei Sheng, Lu Lu, Junhao Lin:
An Adversarial Discriminative Convolutional Neural Network for Cross-Project Defect Prediction. IEEE Access 8: 55241-55253 (2020) - [j12]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) - [j11]Jiehan Deng, Lu Lu, Shaojian Qiu:
Software defect prediction via LSTM. IET Softw. 14(4): 443-450 (2020) - [j10]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) - [c3]Xuan Zhou, Lu Lu:
Defect Prediction via LSTM Based on Sequence and Tree Structure. QRS 2020: 366-373
2010 – 2019
- 2019
- [j9]Ziyi Cai, Lu Lu, Shaojian Qiu:
An Abstract Syntax Tree Encoding Method for Cross-Project Defect Prediction. IEEE Access 7: 170844-170853 (2019) - [j8]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) - [j7]Yang Guo, Lu Lu:
Application of a Traffic Flow Prediction Model Based on Neural Network in Intelligent Vehicle Management. Int. J. Pattern Recognit. Artif. Intell. 33(3): 1959009:1-1959009:18 (2019) - [j6]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) - [j5]Yang Guo, Lu Lu:
An automatic test case generation method based on user session and agglutinate hierarchical clustering algorithm. J. Comput. Methods Sci. Eng. 19(1): 57-70 (2019) - [j4]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
- [j3]Yang Guo, Lu Lu:
Simulation research for telecommunication data mining based on mobile information node. IET Softw. 12(3): 245-250 (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]Qiubin Su, Zhihao Jia, Lu Lu:
Research on user behavior clustering algorithm based on mobile application. J. Intell. Fuzzy Syst. 35(2): 1291-1300 (2018) - [c1]Qiubin Su, Lu Lu, QiuYan Feng:
An Optimal Solution of Storing and Processing Small Image Files on Hadoop. BICS 2018: 644-653
Coauthor Index
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