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邬惠峰博士 教授 | 博导 学科:计算机科学与技术 职务:科研处处处长兼计算机学院院长、副书记 |
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毕业院校:浙江大学 研究方向:智能软件、边缘计算、智能控制、嵌入式系统 邮箱:whf@hdu.edu.cn 地址: |
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邬惠峰博士 教授 | 博导 学科:计算机科学与技术 职务:科研处处处长兼计算机学院院长、副书记 |
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毕业院校:浙江大学 研究方向:智能软件、边缘计算、智能控制、嵌入式系统 邮箱:whf@hdu.edu.cn 地址: |
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邬惠峰,男,二级教授,力行讲席教授,博士生导师,国家级人才工程入选者,国家有突出贡献中青年专家,国务院特殊津贴专家,浙江省“万人计划”科技创新领军人才,浙江省高校首批科技创新领军人才。2006年于浙江大学获得计算机科学与技术专业博士学位,现任杭州电子科技大学科研处处长,计算机学院院长,工业互联网研究院院长,全省工业互联网新型工业控制技术重点实验室主任,工业互联网智能控制系统浙江省工程研究中心主任,浙江省工业互联网国际合作基地主任,浙江省工业智能协同创新中心主任。与北京大学共建“工业物联泛在操作系统联合实验室”并担任主任。主要研究方向包括智能软件、边缘计算、智能控制、嵌入式系统等。已发表论文50余篇,主持制定国家标准3项,参与制定国际标准2项,国家标准4项。近几年主持省部级以上科研项目30余项,包括国家重点研发、国家自然科学基金重点项目等。先后获省部级奖励多项,包括浙江省科技进步奖一等奖3项、浙江省技术发明奖一等奖1项、吴文俊人工智能科技进步一等奖1项、浙江省科技进步二等奖2项。指导学生竞赛获“挑战杯”全国一等奖、全国人工智能应用场景创新挑战赛特等奖等各类国家级奖项10余项。 [1]浙江省工业互联网新型工控重点实验室 主任 [2]工业互联网智能控制系统浙江省工程研究中心 主任 [3]浙江省工业互联网国际合作基地 主任 [4]浙江省工业智能协同创新中心 主任 [5]杭电-北大“工业物联泛在操作系统联合实验室” 主任 [6]IEC国际标准组织可编程系统分委会 委员 [7]全国工业自动化系统与集成标准化技术委员会(SAC/TC159) 委员 [1]智能软件 [2]边缘计算 [3]嵌入式系统 [1] 物理信息系统的智能方法,博士研究生 [2] 嵌入式系统,硕士研究生 [3] 创新实践,本科生 纵向科研
横向科研
论文
[1] An efficient occlusion-aware visibility assurance method for multi-robot vision-integrated manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2026, 101:103301. (IF=12.3) [2] Xiaoyu Song. DTRRS: A dynamic task real-time reconfiguration and scheduling architecture for FPGAs in embedded systems[J]. IEEE Transactions on Computers, 2026. (IF=4.9) [3] Dynamic contention-aware workflow scheduling on shared bus-based CPU-FPGA heterogeneous computing systems[J]. Expert Systems with Applications, 2026, 300: 130421. (IF=7.5) [4] Time–torque coordinated optimization for trajectory planning of industrial robots[J]. Robotics and Computer-Integrated Manufacturing, 2026, 99: 103199. (IF=11.4) [5] Blockchain-enabled distributed authentication mechanism for industrial device access[J]. IEEE Transactions on Industrial Informatics, 2025, 21(4): 2819-2828. (IF=9.9) [6] Enhancing GCN robustness against structural attacks via adaptive spectrum filtering[J]. IEEE Transactions on Information Forensics and Security, 2025, 20: 10668-10682. (IF=8.0) [7] Improving device access efficiency using a device protocol matching model[J]. Computers in Industry, 2025, 164: 104210. (IF=9.1) [8] An enhanced residual learning framework for graph neural networks based on dual random walk[J]. Knowledge-Based Systems, 2025, 113822. (IF=7.6) [9] Path-aware multi-scale learning for heterogeneous graph neural network[J]. Neural Networks, 2025, 191: 107743. (IF=6.3) [10] PDG2Seq: Periodic dynamic graph to sequence model for traffic flow prediction[J]. Neural Networks, 2025, 183: 106941. (IF=6.3) [11] A cloud-based high-quality code intelligent matching tool for industrial control programs[C]//Companion Proceedings of the ACM Web Conference 2025. Sydney: Association for Computing Machinery, 2025: 2803-2806. (CCF A) [12] Long-term time series forecasting based on Siamese network: a perspective on few-shot learning[J]. International Journal of Machine Learning and Cybernetics, 2024. (IF=2.7) [13] An unsupervised video anomaly detection method via optical flow decomposition and spatio-temporal feature learning[J]. Pattern Recognition Letters, 2024, 185: 239-246. (IF=3.3) [14] Learning the feature distribution similarities for online time series anomaly detection[J]. Neural Networks, 2024, 180: 106638. (IF=6.3) [15] Sepformer-based models: more efficient models for long sequence time-series forecasting[J]. IEEE Transactions on Emerging Topics in Computing, 2024, 12(2): 432-443. (IF=5.1) [16] RGDAN: A random graph diffusion attention network for traffic prediction[J]. Neural Networks, 2024, 172: 106093. (IF=6.3) [17] Dynamic protocol parsing system with optimized edge containers[J]. IEEE Transactions on Network and Service Management, 2024, 21(5): 5634-5646. (IF=5.4) [18] Beetle swarm with constrained Lévy flight for image matching[J]. IEEE Transactions on Automation Science and Engineering, 2024. (IF=6.4) [19] A comprehensive survey on collaborative data-access enablers in the IIoT[J]. ACM Computing Surveys, 2024, 56(2): 1-37. (IF=28) [20] An adversarial time-frequency reconstruction network for unsupervised anomaly detection[J]. Neural Networks, 2023, 168: 44-56. (IF=6.3) [21] LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data[J]. Neurocomputing, 2023, 557: 126644. (IF=6.5) [22] A decomposition dynamic graph convolutional recurrent network for traffic forecasting[J]. Pattern Recognition, 2023, 142: 109670. (IF=7.6) [23] A planar dimension measurement optimization method with metric information compensation[J]. Measurement, 2023, 222: 113669. (IF=5.6) [24] A robust feature reinforcement framework for heterogeneous graphs neural networks[J]. Future Generation Computer Systems, 2023, 141: 143-153. (IF=6.1) [25] Robust terminal recurrent neural network for finding exact solution of the TVQP problem with various noises[J]. IEEE Transactions on Industrial Informatics, 2023, 19(5): 6907-6916. (IF=9.9) [26] Synchronize feature extracting and matching: A single branch framework for 3D object tracking[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Paris: Institute of Electrical and Electronics Engineers, 2023: 9953-9963. (CCF A) [27] An adaptive immune-following algorithm for intelligent optimal schedule of multiregional agricultural machinery[J]. International Journal of Intelligent Systems, 2022. (IF=3.7) [28] AUBRec: adaptive augmented self-attention via user behaviors for sequential recommendation[J]. Neural Computing and Applications, 2022, 34(24): 21715-21728. (IF=0) [29] Cross-level dependability assessment with a distributed split mechanism for wireless communication systems[J]. IEEE Transactions on Network Science and Engineering, 2022. (IF=7.9) [30] A data stream cleaning system using edge intelligence for smart city industrial environments[J]. IEEE Transactions on Industrial Informatics, 2022, 18(2): 1165-1174. (IF=9.9) [31] Multi buffers multi objects optimal matching scheme for edge devices in IIoT[J]. IEEE Internet of Things Journal, 2021, 8(14): 11514-11525. (IF=8.9) [32] OntoPLC: Semantic model of PLC programs for code exchange and software reuse[J]. IEEE Transactions on Industrial Informatics, 2021, 17(3): 1702-1711. (IF=9.9) [33] Time synchronization algorithm for networked control systems based on stochastic search[J]. IEEE Transactions on Industrial Informatics, 2021, 18(1): 26-34. (IF=9.9) [34] Intelligent data collaboration in heterogeneous-device IoT platforms[J]. ACM Transactions on Sensor Networks, 2020, 17(3): 1-17. (IF=4.7) [35] FADA: A fog architecture and ontology for data acquisition[J]. IEEE Transactions on Cloud Computing, 2020. (IF=5.0) [36] Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems[J]. Neural Computing and Applications, 2020. (IF=0) [37] Optimization of edge-PLC based fault diagnosis with random forest in industrial internet of things[J]. IEEE Internet of Things Journal, 2020, 7(10): 9664-9674. (IF=8.9) [38] Dynamic edge access system in IoT environment[J]. IEEE Internet of Things Journal, 2020, 7(4): 2509-2520. (IF=8.9) [39] VCA protocol-based multilevel flexible architecture on embedded PLCs for visual servo control[J]. IEEE Transactions on Industrial Electronics, 2020, 67(3): 2450-2459. (IF=7.2) [40] A customized real-time compilation for motion control in embedded PLCs[J]. IEEE Transactions on Industrial Informatics, 2019, 15(2): 812-821. (IF=9.9) [41] High precision control in PTP trajectory planning for nonlinear system using on high-degree polynomial and cuckoo search[J]. Optimal Control Applications and Methods, 2019, 40(1): 43-54. (IF=1.5) [42] Development and control of a robotic arm for percutaneous surgery[J]. Assembly Automation, 2017, 37(3): 314-321. (IF=1.7) [43] A fault diagnosis system-PLC design for system reliability improvement[J]. The International Journal of Advanced Manufacturing Technology, 2014, 75(1-4): 523-534. (IF=3.1) 著作
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