杨静
区域治理与大数据智能计算中心
副教授，硕导
电子邮箱：jyang23@gzu.edu.cn
个人简介
美国OSU联合培养博士生，上海交通大学计算机科学与技术专业博士后（导师：过敏意教授，杰青，IEEEFellow），共青团中央“青马”工程全国科技班入选者、中组部“西部之光”访问学者、贵州省高层次创新人才（千层次）、贵州省高层次留学人才、CCF高级会员。兼任CCF分布式计算与系统专家委员会执行委员、中国国土经济学会区域大数据专业委员会副秘书长、中国科协决策咨询团队青年研究员，贵州大学科研创新团队负责人，是国家自然科学基金委、贵州省科技厅、贵州省大数据局、贵阳市科技局、观山湖科技局等在库项目评审专家，长期从事数据科学多模态融合感知与边缘计算研究。
科学研究
近五年部分发表论文（第一和通信作者）：
[1]Jing Yang*,Xingjiang Ma,Yuankai Wu,Chengjiang Li,Zhidong Su,Ji Xu,Yixiong Feng.AOGN-CZSL: an Attribute- and Object-Guided Network for Compositional Zero-Shot Learning[J],Information Fusion,2025,120,103096.(第一作者,中科院一区 TOP,CAAI A,IF 14.8)
[2]Li Xiaoyong, Yang Jing*, Chen Yuling, et al. Learning semantic consistency for audio-visual zero-shot learning[J]. Artificial Intelligence Review, 2025, 58(7): 212-240. (通信作者,中科院一区, TOP, IF 10.7)
[3]Yuanyuan Hu,Jing Yang*,Xiaoli Ruan,Yulin Chen,Chengjiang Li,et al, Green Optimization for Micro Data Centers: Task Scheduling for a Combined Energy Consumption Strategy, APPLIED ENERGY,2025. (通信作者,中科院一区, TOP, IF 10.1)
[4]Jing Yang*,Xinyu Zhou,Yao He,Qingliang Li,Zhidong Su,Xiaoli Ruan,et al.Effective Generative Replay with Strong Memory for Continual Learning[J],KNOWLEDGE-BASED SYSTEMS,2025,319,113477(第一作者, 中科院一区, TOP, IF 7.2)
[5]Xingiing Ma.Jing Yang*,Jiacheng Lin,et al.LVAR-CZSL:Learning Visual Attributes Representation for Compositional ZeroShot Learning[J]. IEEE Transactions on Circuits and Systems for Video Technology,2024(通信作者, CCF B, 中科院一区, Top, IF 8.4)
[6]Jing Yang*,JiaLin Lu,Xu Zhou,etal.HA-A2C:Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing[J],IEEE Transactions on Green Communications and Networking,2024.(第一作者, 中科院二区, IF:4.8)
[7]Jialin Lu, Jing Yang*, Shaobo Li, et al. A2C-DRL:Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2Cand Deep Reinforcement Leamingy[J],IEEE Internet of Things Journal,2024, doi: 10.1109/10T.2024.3366252(通信作者, 中科院一区, Top, IF:10.6)
[8]Hongchao An,Jing Yang*,Xiuhua Zhang,et al.A Class-Incremental learning Approach for learning Feature-CompatibleEmbeddings[J],Neural Networks,2024(通信作者, 中科院一区, Top, IF:6.0, CCF B)
[9]Qinglang Li, Jing Yang*,Xiaoli Ruan,et al, SPIRF-CTA: Selection of Parameter Importance Levels for Reasonable Forgetting in Continuous Task Adaptation[J], Knowledge-Based Systems,2024, Volume 305, 112575.(通信作者, IF 7.2, CCF B, 中科院一区, TOP)
[10]Xu Zhou,Jing Yang*,Yijun Li,Shaobo Li,Zhidong Su,Jialin Lu,EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments[J],IEEE Internet of things Journal,2024 (通信作者, IF 6.0, 中科院一区, TOP)
[11]Yuankai Wu,Jing Yang,Xiaoxu Chen, Yi Lin,et al.Long-Term Airport Network Performance Forecasting with Linear DiffusionGraph Networks[J],IEEE Transactions on Intelligent transportation systems,2024,doi:10.1109/ITS.2024.3420423(中科院一区, TOP, IF 7.9)
[12]Jing Yang,Zukun Yu,et al.GG'T-SSN:Graph learning and Gaussian prior integrated spiking graph Neural network for eventdriven tactile object recognition[J],Information Sciences,2024(第一作者, 中科院一区, Top, IF 8.1)
[13]Jing Yang, Sun jie, Shaobo Li,et al. GACP: Graph neural networks with ARMA filters and a parallel CNN for hyperspectral classification image[J], International Journal of Digital Earth,2023.16(1):1770-1800.(第一作者, 中科院一区, IF 5.1)
[14]Jing Yang,Xingiiang MaJiacheng Lin,TGN-cZSL:Image and Text Guided Network for Compositional Zero-shot Learning[J],51st intermational Symposium on Computer Architecture AOMC Workshop,2024(第一作者, CCF A)
[15]Yao He,Jing Yang*,Shaobo Li,Jianjun Hu,Raping Ren,Qing Ji.CL-BPUWM:Continuous learing with Bayesian parameter updating and weight memory[J],Complex & Intelligent Systems,2024.(通信作者, 中科院二区, IF 5.8)
[16]Zukun Yu,Jing Yang*,Qin Ran,Shaobo Li,and Zhidong Su,G2T-SNN: Fusing Topological Graph and Gaussian Prior Spiking Neural Networks for Tactle Object Recognition[J],lEEE Sensors Joumal, 2024,doi:10.1109/SEN.2024.3397884.(通信作者, 中科院二区, IF 4.3)
[17]Shujie Ding,Xiaoli Ruan*,Jing Yang*,Jie Sun,et al.LSSMA: Lightweight Spectral-Spatial Neural Architecture with Multi-Attention Feature Extraction for Hyperspectral Image Classification[J],IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2024.(通信作者, 中科院二区, IF 5.5)
[18]Jie Sun,Jing Yang*,Wang Chen,Sujie Ding,Shaobo Li,Jianjun Hu,LCTCS:Low-cost and two-channel sparse networkforhyperspectral image classification[J],Neural Processing Letters,2024(通信作者,中科院四区, IF 3.1, CCF C)
[19]Jing Yang*,Zukun Yu,Xiaoyang Ji,Zhidong Su,Shaobo Li,Yang Cao,Spiking Neural Network Tactile Classification Method with Faster and More Accurate Membrane Potential Representation[J],IET Collaborative Intelligent Manufacturing,2024(第一作者, 中科院四区, IF 2.5)
[20]Xu Zhou,Jing Yang*,et al.Deep Reinforcement learning-based resource scheduling for energy optimization and loadbalanceing in SDN-Driven edge computing[J].ComputerCommunications.2024(通信作者, 中科院三区, JF 4.5, CCF C)
[21]Jing Yang,Kun Yuan,Suhao Chen,Qingliang Li,et al.A New Multinetwork Mean Distillation Loss Function for Open-world Domain Incremental Object Detection[J],International Journal of Intelligent Systems,2023,vol2023.(第一作者, 中科院二区, IF 7.0)
[22]Jing Yang,Tingqing Liu*,Yaping Ren,Qing Hou*,Shaobo Li,Jianjun Hu.AM-SGCN: Tactile Object Recognition for Adaptive Multichannel Spiking Graph Convolutional Neural Networks[J],IEEE Sensors Journal,2023,23(24):30805-30820.(第一作者, 中科院二区, IF 4.3)
[23]Yang Jing, Li Shaobo*, Wang Zheng, Dong Hao, Wang Jun,et al. Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges[J]. Materials 2020, 13, 5755-5778.(第一作者, 中科院三区, 入选高被引和热点论文)
[24]Yang Jing, JI Xiaoyang, LI Shaobo, WANG Yang, LIU Tingqing. Spiking Neural Network Robot Tactile Object Recognition Method with Regularization Constraints[J]. Journal of Electronics & Information Technology. 2023,doi: 10.11999/JEIT220711（第一作者, CCF C类中文期刊, 一级学报）
[25]Yang Jing, HE Yao, LI Bin, LI Shaobo, HU Jianjun, PU Jiang. A Continual Semantic Segmentation Method Based on Gating Mechanism and Replay Strategy[J]. Journal of Electronics & Information Technology. 2024,doi: 10.11999/JEIT230803(第一作者, CCF C类中文期刊，一级学报)
[26]Yang Jing, LI Bin, LI Shaobo, WANG Qi, YU Liya, HU Jianjun, YUAN Kun. Brain-inspired Continuous Learning: Technology, Application and Future[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1865-1878. doi: 10.11999/JEIT210932（第一作者, CCF C类中文期刊，一级学报）
[27]Yang Jing,Sun Jie,Ding Sujie,Li Shaobo,et al.Hyperspectral Image Classification Based on Multi-Intentional Force Mechanism and Compiled Graph Neural Networks.[J].Transactions of the Chinese Society for Agricultural Machinery,2024.(第一作者, EI源刊，一级学报)
[28]ZHOU Xu, MIAO Hui, YANG Jing*, JIANG Wu,et al. Edge computing resource scheduling overview: Historical perspective,architecture,modeling,and method analysis[J]. Computer Integrated Manufacturing System, 2024,DOI: 10.13196/j.cims.2023.0132.2.（通信作者, EI源刊,一级学报,校企）
[29]Yao He; Jing Yang*, et al.Generative Replay Method Based on Integrating Random Gating and Attention Mechanism. in 2023 IEEE 9th International Conference on Computer and Communications (IEEE ICCC). 2023.（通信作者, EI收录）
[30]Jing Yang,Xiaoyang Ji,Shaobo Li,et al. Robot Tactile Data Classification Using Spiking Neural Network,China Automation Congress(CAC2021),2021, 266-285 (第一作者, EI收录)
[31]Jing Yang,Yifan Wang, Zheng Wang,et al, Using stochastic gradient descent and deep learning to defect detection for medicinal hollow capsule, China Automation Congress(CAC2021),2021, 201-207 (第一作者, EI收录)
[32]Jing Yang,Guanci Yang*,Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer,Algorithms, 2018,11(3),28;doi:10.3390/a11030028(第一作者, EI源刊，一级学报)
[33]Jing Yang, Weihua Sheng, Guanci Yang,Dynamic Gesture Recognition Algorithm based on ROI and CNN for Social Robots,2018 13th World Congress on Intelligent Control and Automation (WCICA) 2018.06，389-394（第一作者, EI收录）
[34]Li Shao-Bo, Yang Jing*, Wang Zheng, et al. Review of development and application of defect detection technology. Acta Automatica Sinica, 2020,46(11): 2319−2336. (通信作者,CCF A类中文期刊，卓越期刊,一级学报)
[35]YANG Guan-Ci, YANG Jing*, SU Zhi-Dong, et al. An Improved YOLO Feature Extraction Algorithm and Its Application to Privacy Situation Detection of Social Robots. ACTA AUTOMATICA SINICA, 2018, 44(12): 2238-2249（通信作者,CCF A类中文期刊，卓越期刊，一级学报，通信）
[36]Yang Guanci,Yang Jing*,Li Shaobo,Hu Jianjun,Modified CNN algorithm based on Dropout and ADAM optimizer, Journal of Huazhong University of Science and Technology(Natural Science Edition),2018,46(7),122-128（通信作者, EI源刊,卓越期刊）
部分合作论文
[1]Syed Ariff Syed Hesham,Yun Liu*,Guolei Sun,Henghui Ding,Jing Yang,Ender Konukoglu,Xue Geng,Xudong Jiang,Exploiting Temporal State Space Sharing for Video Semantic Segmentation[C].IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2025,Accept(合作作者，CCF A 类会议)
[2]Li Yang, Yang Guanci, Su Zhidong, Yang Jing,et al. Indoor scene multi-object tracking based on region search and memory buffer pool[J]. Pattern Recognition, 2025, 165: 111623. (合作作者，CCF B，中科院一区)
[3]赵涵,邓俊骁,崔炜,陈全,曾德泽,杨静,过敏意.保证延时敏感型任务服务质量的情况下利用流处理器内所有并行性以最大化系统吞吐[J],中国科学:信息科学,2024(合作作者,CCF A类中文期刊)
[4]Pengyu Yang,Weihao Cui, Jing Yang,Minyi Guo,et al.Taming Flexible Job Packing in Deep Learning Training Clusters[J],ACM Transactions on Architecture and Code Optimization,2024(合作作者,CCF A类)
[5]Ding Sujie, Ruan Xiaoli, Yang Jing, et al. LRDTN: Spectral-Spatial Convolutional Fusion Long-Range Dependency Transformer Network for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.DOI: 10.1109/TGRS.2024.3510625(合作作者,中科院一区Top, CCF B, IF7.5)
[6]Zheng Jiang, Zhou Zhou,Quan Zhou,Yongan Guo, Jing Yang and Weihua Ou, Affinity Similarity-Based Contrastive Loss for Unsupervised Visual Representation Learning[J],IEEE Transactions on Consumer Electronics, 2025,doi: 10.1109/TCE.2025.3572120. (合作作者,中科院二区)
[7]Chenhui Zhang,Jinguo Cheng,Jing Yang,Huachun Tan,Yuankai Wu,Intergrating Future Exogenous informationinto Multi-mode Travel Demand Forecasting at Gateway HubslCl.The 3lst Interational Conference on NeuraInformation(ICONIP),2024(合作作者,CCF C类国际会议)
