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检索条件"机构=Guangdong Key Lab of AI and Multi-modal Data Processing"
65 条 记 录,以下是1-10 订阅
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Hybridization of One- and Two-Point Bandits Convex Optimization in Non-stationary Environments  24th
Hybridization of One- and Two-Point Bandits Convex Optimiz...
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24th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2024
作者: Zeng, Gailun Guo, Jianxiong Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Hong Kong Baptist University Hong Kong Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China
Bandit Convex Optimization (BCO) is an imperative analysis framework when dealing with sequential decision-making problems. Considering to balance the computational cost and bounds of regrets, in this paper, we propos... 详细信息
来源: 评论
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking
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IEEE Transactions on Big data 2025年
作者: Wang, Mingjie Guo, Jianxiong Li, Sirui Xiao, Dingwen Tang, Zhiqing Beijing Normal-Hong Kong Baptist University Guangdong Key Lab of AI and Multi-Modal Data Processing Department of Computer Science Zhuhai519087 China Beijing Normal University Advanced Institute of Natural Sciences Zhuhai519087 China Beijing Normal-Hong Kong Baptist University Guangdong Key Lab of AI and Multi-Modal Data Processing Zhuhai519087 China
Deep neural networks have significantly advanced person re-identification (ReID) applications in the realm of the industrial internet, yet they remain vulnerable. Thus, it is crucial to study the robustness of ReID sy... 详细信息
来源: 评论
Dynamic Offloading Control for Waste Sorting Based on Deep Q-Network  24th
Dynamic Offloading Control for Waste Sorting Based on Deep...
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24th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2024
作者: Wang, Jing Wang, Xiaoyang Guo, Jianxiong Tang, Zhiqing Ding, Xingjian Wang, Tian Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China Faculty of Information Technology Beijing University of Technology Beijing China
With the increasing concern for environmental protection and resource optimization, efficient waste sorting has become a serious challenge today. In this paper, we propose a new offloading control problem that aims to... 详细信息
来源: 评论
Boundary-Aware Feature Fusion With Dual-Stream Attention for Remote Sensing Small Object Detection
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025年 63卷
作者: Song, Jingnan Zhou, Mingliang Luo, Jun Pu, Huayan Feng, Yong Wei, Xuekai Jia, Weijia Chongqing Univ Sch Comp Sci Chongqing 400044 Peoples R China Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China Heavy Rainfall Res Ctr China Wuhan 430074 Peoples R China Beijing Normal Univ Zhuhai BNU UIC Inst Artificial Intelligence & Future Netw Zhuhai 519087 Peoples R China BNU HKBU United Int Coll Guangdong Key Lab AI & Multi Modal Data Proc Zhuhai 519087 Guangdong Peoples R China
Detecting small objects in remote sensing images poses significant challenges to the field of computer vision, primarily stemming from the complexity of backgrounds, limitations in pixel resolution, and information lo... 详细信息
来源: 评论
MTMD: multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
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IEEE Transactions on Emerging Topics in Computational Intelligence 2025年
作者: Wang, Mingjie Tian, Juanxi Zhang, Mingze Guo, Jianxiong Jia, Weijia BNU-HKBU United International College Guangdong Key Lab of Ai and Multi-Modal Data Processing Department of Computer Science Zhuhai519087 China Gonzaga University School of Engineering and Applied Sciences SpokaneWA99258 United States Beijing Normal University Advanced Institute of Natural Sciences Zhuhai519087 China BNU-HKBU United International College Guangdong Key Lab of Ai and Multi-Modal Data Processing Zhuhai519087 China
The endeavor of stock trend forecasting is principally focused on predicting the future trajectory of the stock market, utilizing either manual or technical methodologies to optimize profitability. Recent advancements... 详细信息
来源: 评论
Sequence-Aware Online Container Scheduling with Reinforcement Learning in Parked Vehicle Edge Computing
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IEEE Transactions on Vehicular Technology 2025年
作者: Wu, Jianqiu Guo, Jianxiong Tang, Zhiqing Luo, Chuanwen Wang, Tian Jia, Weijia Beijing Normal-Hong Kong Baptist University Guangdong Key Lab of AI and Multi-Modal Data Processing Department of Computer Science Zhuhai519087 China Beijing Normal University Advanced Institute of Natural Sciences Zhuhai519087 China Beijing Normal-Hong Kong Baptist University Guangdong Key Lab of AI and Multi-Modal Data Processing Zhuhai519087 China Beijing Forestry University School of Information Science and Technology Beijing100083 China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing100083 China
Intelligent vehicles, often parked for long periods, are ideally suited to serve as computational nodes to expand the Mobile Edge Computing (MEC) infrastructure, with containerization significantly enhancing the syste... 详细信息
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Modeling and Parameter Identification of Micro-positioning System Based on the aitken Expedited Method
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IEEE Transactions on Instrumentation and Measurement 2025年 74卷
作者: Gu, Ya Wang, Luyao You, Chengtian Wang, Qing-Guo The College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai201418 China The Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNU-HKBU United International College Zhuhai519087 China The Institute of Artificial Intelligence and Future Networks Beijing Normal University Zhuhai519087 China
The hysteresis of the positioning platform exhibits rate-dependence. To address this issue, The combined modeling approach for hysteresis, integrating the improved gradient descent method, is proposed. This method inc... 详细信息
来源: 评论
QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR
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IEEE Transactions on Vehicular Technology 2025年
作者: Li, Yang Wu, Yuan Xing, Huanlai Feng, Li Wang, Tian Jia, Weijia Southwest Jiaotong University School of Computer and Artificial Intelligent Chengdu611756 China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Macau China Beijing Normal University Institute of Artificial Intelligence and Future Networks Zhuhai519087 China Guangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International College Zhuhai519087 China
Augmented reality (AR) enhances human perception by overlaying digital information in the real environment and can be applied to various fields such as education, healthcare, and industry. To relieve the computing pre... 详细信息
来源: 评论
Control Design for Transient Performance
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IEEE/CAA Journal of Automatica Sinica 2023年 第1期10卷 3-7页
作者: Qing-Guo Wang Institute of Artificial Intelligence and Future Networks Beijing Normal University Guangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International CollegeZhuhai 519087China
CONTROL systems are everywhere – chemical plants,energy systems, manufacturing, homes and buildings,automobiles and trains, medical devices, cellular telephones and internet, aircraft and spacecraft. Recent developme... 详细信息
来源: 评论
Federated multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第5期5卷 2026-2039页
作者: Wang, Mingjie Guo, Jianxiong Jia, Weijia BNU-HKBU United International College Guangdong Key Lab of AI and Multi-Modal Data Processing Department of Computer Science Zhuhai519087 China Beijing Normal University Advanced Institute of Natural Sciences Zhuhai519087 China BNU-HKBU United International College Guangdong Key Lab of AI and Multi-Modal Data Processing Zhuhai519087 China
Federated learning (FL) is a decentralized learning method used to train machine learning algorithms. In FL, a global model iteratively collects the parameters of local models without accessing their local data. Howev... 详细信息
来源: 评论