王卓薇

近年发表的SCI论文（第一作者或通讯作者）

[1] Zhuowei Wang, Lianglun Cheng, Xiaoyu Song. Activity-driven Task Allocation in Energy Constrained Heterogeneous GPUs Systems [J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits.2021,40（11）：2357-2371. (SCI检索，CCF A)

[2] Zhuowei Wang, Xiaoyu Song, Lianglun Cheng, Tao Wang. Warp-Aware Adaptive Energy Efficiency Calibration for Multi-GPU Systems [J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits. Early Access. (SCI检索，CCF A)

[3] Zhuowei Wang, Lianglun Cheng, Hao Wang, Wuqing Zhao, Xiaoyu Song. Energy Optimization by software prefetching for task granularity in GPU-based Embedded Systems[J]. IEEE Transactions on Industrial Electronics. 2020,67:5120-5131. (SCI检索，中科院JCR 1区，广东工业大学Top期刊)

[4]Zhuowei Wang, Hao Wang, Xiaoyu Song, Jiahui Wu. Communication-Aware Energy Conusmption Model in Heterogeneous Computing Systems[J]. The Computer Journal, early access. (SCI检索，CCF B)

[5] Zhuowei Wang, Hao Wang, Wuqing Zhao, lianglun Cheng. Energy optimization of parallel programs in a heterogeneous system by combining processor core-shutdown and dynamic voltage scaling[J]. Future Generation Computer Systems.2019,92:198-209 (SCI检索，中科院JCR 2区)

[6] Zhuowei Wang, Hao Wang, Wuqing Zhao, lianglun Cheng. Three-level performance optimization for heterogeneous systems based on software prefetching under power constraints[J]. Future Generation Computer Systems, 2018,86:51-58 (SCI检索，中科院JCR 2区)

[7] Zhuowei Wang, Weida Lin, Lianglun Cheng, Xiaoyu Song, Yang Wang. Multi-branch Detection Network Based on Trigger Attention for Pedestrian Detection under Occlusion[J]. Applied Intelligence. https://doi.org/10.1007/s10489-022-03747-2. （SCI检索，中科院JCR 2区）

[8] Zhuowei Wang, Ziyang Chen, Meng Zhao, Qin Zhao, Xuehu Liang, Jiajian Li and Xiaoyu Song. A New Classification Network for Diagnosing Alzheimer’s Disease in Class-Imbalance MRI Datasets[J]. Frontiers in Neuroscience. DOI: 10.3389/fnins.2022.807085（SCI检索，中科院JCR 2区）

[9] Jiangfeng Deng, lianglun Cheng, Zhuowei Wang*. Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification[J]. Computer Speech & Language. 2021, 68(6):101182 (通讯作者，SCI检索，中科院JCR 2区)

[10] Genping Zhao, Weiguang Zhang, Yeping Peng, Heng Wu, Zhuowei Wang* and Lianglun Cheng. PEMCNet: An Efficient Multi-Scale Point Feature Fusion Network for 3D LiDAR Point Cloud Classification[J]. Remote Sensing,2021,13:1-15 (通讯作者，SCI检索，中科院JCR 2区)

[11] Zhuowei Wang, Yusheng, Lu, Genping Zhao, Chuanliang Sun, Fuhua Zhang, Su He. Sugarcane biomass prediction with multi-model remote sensing data using deep archetypal analysis and integrated learning[J]. Remote sensing. Vol.14, no.4944, pp. 1-20. (通讯作者，SCI检索，中科院JCR 2区)

[12] Xuehu Liang, Zhuowei Wang*, Ziyang Chen, Xiaoyu Song. Alzheimer’s disease classification using distilled multi-residual[J]. Applied Intelligence. Published on line. 2022. (SCI检索，IF:5.091, 中科院JCR 2区)

[13] Genping Zhao, Weitao Cai, Zhuowei Wang*, Heng Wu, Yeping Peng, Lianglun Cheng. Phenotypic parameters estimation of plants using deep learning-based 3-D Reconstruction from single RGB Image[J]. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) ((SCI检索，IF:5.343, 中科院JCR3区, 广东工业大学TOP期刊)

[14] Zhuowei Wang, Naixue Xiong, Lianglun Cheng, Wuqing Zhao. Whole procedure heterogeneous multiprocessors low-power optimization at algorithm-level[J]. Cluster Computing—The Journal of Networks Software Tools and Applications.2019,22(1)：2407-2423.（SCI检索，IF:1.851，3区）

[15] Zhuowei Wang, Lianglun Cheng, Wuqing Zhao and Naixue Xiong. An architecture-level GPU energy model[J]. Concurrency and Computation: Practice and Experience. 2016 28:2795-2810 (SCI检索, 中科院JCR 3区， CCF  C)

[16] Zhuowei Wang, Xianbin Xu, Naixue Xiong, Laurence T. Yang, Wuqing Zhao. Energy Cost Evaluation of Parallel Algorithms for Multiprocessor Systems[J]. Cluster Computing—The Journal of Networks Software Tools and Applications.2013, 16(16):77-90.（SCI检索，中科院JCR 3区）

[17] Zhuowei Wang, Jianpeng, Luo, Xueshi Li, Lianglun Cheng. Edible Oil Terahertz Spectral Feature Extraction Method Combining Radial Basis Function and KPCA [J]. Spectroscopy and Spectral undefinedysis , 2020,40(02):391-396.（SCI检索，中科院JCR 4区）

[18] Depei Wang, Lianglun Cheng, Zhuowei Wang. Augmenting Feature Representation with Gradient Penalty for Robust Test Categorization. International Journal of Intelligent Systems. Vol. 2023, pp.1-19. （通讯作者，SCI检索， 中科院JCR 1区）

（2）授权专利：

[1] 一种利用太赫兹是域光谱的样品识别方法.王卓薇，罗鉴鹏，何伟健，程良伦，专利号：ZL201810528213.X

[2] 结合径向基函数和核主成分分析的太赫兹光谱识别方法. 王卓薇，罗鉴鹏，程良伦，李学识. 专利号：ZL201811393426.2

[3] 一种用于时序金融数据的降噪方法. 王卓薇，高侃，程良伦. 专利号：ZL201811301456.6

[4] 医疗问答方法及装置. 王卓薇，陈娟，张凡龙. 专利号：ZL201910677024.3

[5] 一种基于形状上下文描述的太赫兹图像危险品识别方法. 王卓薇，罗鉴鹏，程良伦. 专利号：ZL201810517411.6

[6] 一种基于OpenMP和CUDA的图像特征提取并行方法，王卓薇，陈光明，程良伦.ZL201910548763.2

（3）项目申请人主持与参与科研项目：

[1]国家自然科学基金面上项目，61672168，异构并行系统全程序算法级低功耗优化方法研究，2017/01-2020/12,63万元，主持

[2]国家自然科学基金青年项目，61300029，体系结构级GPU功耗建模及软件低功耗优化方法研究，2014/01-2016/12，26万元，主持

[3]中国博士后面上基金项目，2013M531825，面向GPU的低功耗软件优化关键技术研究，2013/04-2014/05，5万元，主持

[4]广东省重点领域研发计划项目，2019B010109001，神经退行性疾病早期智能预警高级机器学习技术与示范应用，2019/01-2020/12，800万，广东工业大学负责人

[5] 广东省重点领域研发计划项目，高性能多物理场仿真算法与软件，2021B0101190003，2021/01-2023/12，2000万,广东工业大学负责人

[6]广东省自然科学基金面上项目，通信与温度感知的异构系统算法级功耗优化方法研究，2020/1—2011/12,10万元，主持

[7]广东省科技创新战略专项，人工智能重大创新平台科普教育活动，2021/1—2021/12,50万，主持

[8]中国高校产学研创新基金，工业控制实时网络的软件定义关键技术研究，2021FNA02010,20万，主持

[9]广东省电力系统网络安全企业重点实验室开放基金，新型电力系统本体网络安全态势智能分析模型研究，GPKLPSNS-2022-KF-01,2022/11-2024/10,10万元，主持

[10] 高分辨率对地观测系统重大专项，83-Y40G33-901-18/20，大南海区域广东高分大数据平台与应用示范，2018/05-2020/05,2916万元，第一负责人

[11]国家自然科学基金重大项目，工业软件组件通用模型、理论及其应用方法研究， U20A6003，2021.01-2025.12,1579万,参与

[12]国家重点研发计划项目，供应链大数据全域建模与知识库构建技术，2019YFB1705503，2019.01-2022.12，1320万，参与

[13]国家自然科学基金重点项目，离散制造过程人工智能驱动的优化与控制， U1801263，2019.01-2022.12，280万，参与

[14]国家自然科学基金重点项目，工业过程数据实时获取与知识自动化， U1701262，2018.01-2021.12，260万，参与