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检索条件"机构=School of Computing and Software Engineering"
3705 条 记 录,以下是21-30 订阅
排序:
ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction
ALGIN: Adaptive Local and Global Interests Network for Click...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Xiang, Yingjia Lu, Xuanyu Zhou, Wei Wen, Junhao School of Big Data and Software Engineering Chongqing University Chongqing China School of Computing China University of Geosciences Wuhan China
User behavior sequence modeling represents users' interests and preferences, which has a crucial impact on click-through rate (CTR) prediction models and recommendation systems. In practical scenarios, multiple ty... 详细信息
来源: 评论
Caching Strategies in NDN Based Wireless Ad Hoc Network:A Survey
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Computers, Materials & Continua 2024年 第7期80卷 61-103页
作者: Ahmed Khalid Rana Asif Rehman Byung-Seo Kim Department of Computer Science FAST School of ComputingNational University of Computer and Emerging SciencesLahore54000Pakistan Department of Software and Communications Engineering Hongik UniversitySejong City30016Republic of Korea
Wireless Ad Hoc Networks consist of devices that are wirelessly *** Ad Hoc Networks(MANETs),Internet of Things(IoT),and Vehicular Ad Hoc Networks(VANETs)are the main domains of wireless ad hoc *** is used in wireless ... 详细信息
来源: 评论
CLIP-Guided Bidirectional Prompt and Semantic Supervision for Dynamic Facial Expression Recognition  18
CLIP-Guided Bidirectional Prompt and Semantic Supervision fo...
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18th IEEE International Joint Conference on Biometrics, IJCB 2024
作者: Zhang, Junliang Liu, Xu Liang, Yu Xian, Xiaole Xie, Weicheng Shen, Linlin Song, Siyang Shenzhen University School of Computer Science & Software Engineering China University of Leicester School of Computing and Mathematical Sciences United Kingdom
Due to the insufficient semantic information supervision in existing works for dynamic facial expression recognition (DFER), videos with similar facial changes but different expressions may be easily confused. Thanks ... 详细信息
来源: 评论
Unpaired 3D Shape-to-Shape Translation via Gradient-Guided Triplane Diffusion
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IEEE Transactions on Visualization and Computer Graphics 2025年 第5期31卷 3376-3386页
作者: Zhang, Wenxiao Rahmani, Hossein Liu, Jun Hohai University College of Computer Science and Software Engineering Nanjing211100 China Lancaster University School of Computing and Communications LancasterLA1 4YW United Kingdom
Unpaired shape-to-shape translation refers to the task of transforming the geometry and semantics of an input shape into a new shape domain without paired training data. Previous methods utilize GAN-based architecture... 详细信息
来源: 评论
True Rays Model Integration in OMNeT++ for IIoT Network Planning in Underground Mines  1
True Rays Model Integration in OMNeT++ for IIoT Network Plan...
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1st IEEE Latin American Conference on Antennas and Propagation, LACAP 2024
作者: Suancha, Cristian Montanez, Oscar Medina, Fabian Fernandez, Eduardo Avendano Cespedes, Sandra School UPTC Systems and Computing Engineering Sogamoso Colombia School UPTC Electronic Engineering Sogamoso Colombia Concordia University Computer Science and Software Engineering Montreal Canada
This work develops a new module in the OMNeT++ simulator incorporating and validating the True Rays propagation model for underground environments. The integration enables the planning and evaluation of Industrial Int... 详细信息
来源: 评论
Multi-Modal Incomplete Brain Tumor Segmentation with Mamba  24
Multi-Modal Incomplete Brain Tumor Segmentation with Mamba
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5th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2024
作者: Li, Yudan Zhang, Xiaozhi Xiong, Dongping Ouyang, Lijun School of Electrical Engineering University of South China Hunan Hengyang China School of Computing/Software University of South China Hunan Hengyang China
Accurately segmenting brain tumors from multimodal MRI sequences is a key prerequisite for brain tumor diagnosis, prognosis assessment, and surgical treatment. However, in practical applications, one or more modal dat... 详细信息
来源: 评论
CLIP-Flow:Decoding images encoded in CLIP space
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Computational Visual Media 2024年 第6期10卷 1157-1168页
作者: Hao Ma Ming Li Jingyuan Yang Or Patashnik Dani Lischinski Daniel Cohen-Or Hui Huang Visual Computing Research Center College of Computer Science and Software EngineeringShenzhen UniversityShenzhen 518060China Department of Computer Science Tel Aviv UniversityTel Aviv 6997801Israel School of Computer Science and Engineering the Hebrew University of JerusalemJerusalem 91904Israel
This study introduces CLIP-Flow,a novel network for generating images from a given image or *** effectively utilize the rich semantics contained in both modalities,we designed a semantics-guided methodology for image-... 详细信息
来源: 评论
Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge computing for Makespan Optimization
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Tsinghua Science and Technology 2024年 第3期29卷 806-817页
作者: Lei Zeng Qi Liu Shigen Shen Xiaodong Liu School of Computer Science Nanjing University of Information Science and TechnologyNanjing 210044China School of Software Nanjing University of Information Science and TechnologyNanjing 210044China School of Information Engineering Huzhou UniversityHuzhou 313000China School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK
Edge computing nodes undertake an increasing number of tasks with the rise of business ***,how to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical *** study prop... 详细信息
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Survey and Tutorial on Hybrid Human-Artificial Intelligence
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Tsinghua Science and Technology 2023年 第3期28卷 486-499页
作者: Feifei Shi Fang Zhou Hong Liu Liming Chen Huansheng Ning School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China School of Computer Science and Software Engineering East China Normal UniversityShanghai 200062China Faculty of Computing Ulster UniversityNewtownabbey BT370QBUK
The growing computing power,easy acquisition of large-scale data,and constantly improved algorithms have led to a new wave of artificial intelligence(AI)applications,which change the ways we live,manufacture,and do **... 详细信息
来源: 评论
Synergetic Focal Loss for Imbalanced Classification in Federated XGBoost
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第2期5卷 647-660页
作者: Tian, Jiao Tsai, Pei-Wei Zhang, Kai Cai, Xinyi Xiao, Hongwang Yu, Ke Zhao, Wenyu Chen, Jinjun Department of Computing Technologies Swinburne University of Technology MelbourneVIC3122 Australia Center for Health Computing Research Beijing Academy of Artificial Intelligence Beijing100084 China School of Big Data and Software Engineering Chongqing University Chongqing400044 China
Applying sparsity- and overfitting-aware eXtreme Gradient Boosting (XGBoost) for classification in federated learning allows many participants to train a series of trees collaboratively. Since various local multiclass... 详细信息
来源: 评论