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检索条件"机构=College of Computer Science and Software Engineering"
7514 条 记 录,以下是81-90 订阅
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A Neural Network Framework for Classifying Educational Content Aligned with Learning Outcomes
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Procedia computer science 2025年 257卷 529-536页
作者: Adel Alkhalil Department of Software Engineering College of Computer Science and Engineering University of Ha’il Ha’il 81481 Saudi Arabia
Rapid growth of digital educational content necessitates efficient and accurate methods for organizing and mapping resources to ensure well-alignment with targeted learning outcomes, academic standards, and competency... 详细信息
来源: 评论
Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks  23
Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient ...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Jiaxian Chen Zhaoyu Zhong Kaoyi Sun Chenlin Ma Rui Mao Yi Wang College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Graph Convolutional Networks (GCNs) are powerful learning approaches for graph-structured data. GCNs are both computing- and memory-intensive. The emerging 3D-stacked computation-in-memory (CIM) architecture provides ... 详细信息
来源: 评论
Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing  25
Dealing with Noisy Data in Federated Learning: An Incentive ...
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Proceedings of the ACM on Web Conference 2025
作者: Hengzhi Wang Haoran Chen Minghe Ma Laizhong Cui College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Federated Learning (FL) has emerged as a promising training framework that enables a server to effectively train a global model by coordinating multiple devices, i.e., clients, without sharing their raw data. Keeping ... 详细信息
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Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation  25
Heterogeneous Graph Transfer Learning for Category-aware Cro...
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Proceedings of the ACM on Web Conference 2025
作者: Zitao Xu Xiaoqing Chen Weike Pan Zhong Ming College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Cross-domain sequential recommendation (CDSR) is proposed to alleviate the data sparsity issue while capturing users' sequential preferences. However, most existing methods do not explore the item transition patte... 详细信息
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Research on Chip Special Layout Recognition Technology  24
Research on Chip Special Layout Recognition Technology
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Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management
作者: Jimao Jia Software Engineering in College of Computer Science College of Software Inner Mongolia University Hohhot Inner Mongolia China
Chip analysis is an important means of chip research, and with the progress of the chip process, the traditional means are subject to great challenges. For this reason, the research and application of chip automation ... 详细信息
来源: 评论
Adversarial Knowledge Transfer for Black-Box Model Inversion Attack
Adversarial Knowledge Transfer for Black-Box Model Inversion...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Xinhao Liu Zetao Lin Yingzhao Jiang Qiao Yan College of Computer Science & Software Engineering Shenzhen University Shenzhen China
Recent advancements in model inversion attacks have raised privacy concerns, exploiting access to models to reconstruct private training data from inputs and outputs. These attacks are categorized as white-box, black-... 详细信息
来源: 评论
Human Action Recognition in Multi-Level Convolutional Temporal Attention Network
Human Action Recognition in Multi-Level Convolutional Tempor...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Qian Huang ZhongQi Chen Chang Li WeiWen Qian College of Computer Science and Software Engineering Hohai University NanJing China
Human Action Recognition (HAR) has widespread applications in areas such as human-computer interaction, elderly care, and home healthcare. However, current sensor-based HAR faces challenges of low fine-grained recogni... 详细信息
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Spatially Compact Dense Block Mining in Spatial Tensors  25
Spatially Compact Dense Block Mining in Spatial Tensors
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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
作者: Weike Tang Dingming Wu Tsz Nam Chan Kezhong Lu College of Computer Science & Software Engineering Shenzhen University Shenzhen China
Spatial tensors have been extensively used in a wide range of applications, including remote sensing, geospatial information systems, conservation planning, and urban planning. We study the problem of Spatially Compac... 详细信息
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MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search
MPNAS: Multimodal Sentiment Analysis Pruning via Neural Arch...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhang, Binyan Ren, Ao Zhang, Zihao Duan, Moming Liu, Duo Tan, Yujuan Zhong, Kan College of Computer Science Chongqing University Chongqing China School of Big Data Software & Engineering Chongqing University Chongqing China Institute of Data Science National University of Singapore Singapore
With the rapid development of social media, sentiment analysis from multimodal posts has garnered significant attention in recent years. However, the substantial size of these models impedes their deployment on resour... 详细信息
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A Paradigm Shift to Causal Model-Driven Decision-Making With Generative AI  13th
A Paradigm Shift to Causal Model-Driven Decision-Making Wit...
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13th International Conference on AI and Multimodal Services, AIMS 2024, Held as Part of the Services Conference Federation, SCF 2024
作者: He, Sheng Ning, Yishuang Zhang, Liang-Jie Lei, Kai National Engineering Research Center for Supporting Software of Enterprise Internet Services Shenzhen518057 China Kingdee Research Kingdee International Software Group Co. Ltd. Shenzhen518057 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Peking University Shenzhen518055 China
In recent years, the rise of big data has popularized data-driven decision-making. However, the interpretability shortcomings of artificial intelligence (AI) models limit their reliability for critical decisions. This... 详细信息
来源: 评论