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检索条件"机构=Key Laboratory of Data Science and Intelligent Computing"
6733 条 记 录,以下是31-40 订阅
排序:
Towards Adaptive Masked Structural Learning for Graph-Level Clustering
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IEEE Transactions on Network science and Engineering 2025年 第3期12卷 2021-2032页
作者: Yang, Jinbin Cai, Jinyu Zhang, Yunhe Huang, Sujia Wang, Shiping Fuzhou University College of Computer and Data Science Fuzhou350116 China Bank of Quanzhou Company Ltd. Quanzhou362046 China National University of Singapore Institute of Data Science 117602 Singapore Shenzhen Research Institute of Big Data Shenzhen518172 China Chinese University of Hong Kong Guangdong Provincial Key Laboratory of Big Data Computing Shenzhen518172 China
Graph data presents a vast landscape for real-world applications. Current graph-level clustering approaches predominantly utilize graph neural networks to capture the intricate structural information for graph data. H... 详细信息
来源: 评论
RIS-Assisted ISAC Systems for Robust Secure Transmission with Imperfect Sense Estimation
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IEEE Transactions on Wireless Communications 2025年 第5期24卷 3979-3992页
作者: Jiang, Chengjun Zhang, Chensi Huang, Chongwen Ge, Jianhua Niyato, Dusit Yuen, Chau Xidian University State Key Laboratory of Integrated Service Networks Xi'an710071 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China Nanyang Technological University College of Computing and Data Science Singapore Singapore Nanyang Technological University School of Electrical and Electronics Engineering Singapore Singapore
In this paper, we investigate reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) systems for robust physical layer security (PLS) schemes. Traditionally, eavesdroppers (Eves)... 详细信息
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Efficient Algorithms for Minimizing the Kirchhoff Index via Adding Edges
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IEEE Transactions on Knowledge and data Engineering 2025年 第6期37卷 3342-3355页
作者: Zhou, Xiaotian Zehmakan, Ahad N. Zhang, Zhongzhi Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China School of Computing Australian National University CanberraACT2601 Australia Research Institute of Intelligent Complex Systems Fudan University Shanghai200433 China
The Kirchhoff index, which is the sum of the resistance distance between every pair of nodes in a network, is a key metric for gauging network performance, where lower values signify enhanced performance. In this pape... 详细信息
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GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators  31
GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerato...
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31st IEEE International Symposium on High Performance Computer Architecture, HPCA 2025
作者: Yang, Siling He, Shuibing Wang, Wenjiong Yin, Yanlong Wu, Tong Chen, Weijian Zhang, Xuechen Sun, Xian-He Feng, Dan The State Key Laboratory of Blockchain and Data Security Zhejiang University China Zhejiang Lab China Institute of Blockchain and Data Security China Zhejiang Key Laboratory of Big Data Intelligent Computing China Washington State University Vancouver United States Illinois Institute of Technology United States Huazhong University of Science and Technology China Wuhan National Laboratory for Optoelectronics China
Graph convolutional networks (GCNs) are popular for a variety of graph learning tasks. ReRAM-based processing-in-memory (PIM) accelerators are promising to expedite GCN training owing to their in-situ computing capabi... 详细信息
来源: 评论
GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball computing
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IEEE Transactions on Neural Networks and Learning Systems 2025年 第5期36卷 9253-9267页
作者: Xia, Shuyin Lian, Xiaoyu Wang, Guoyin Gao, Xinbo Chen, Jiancu Peng, Xiaoli Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Computational Intelligence Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of Education Chongqing400065 China
Granular-ball support vector machine (GBSVM) is a significant attempt to construct a classifier using the coarse-to-fine granularity of a granular ball as input, rather than a single data point. It is the first classi... 详细信息
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Spatiotemporal deformation analysis of glaciers and surrounding landscapes in the Shishapangma region using InSAR techniques
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Journal of Mountain science 2025年 第1期22卷 210-229页
作者: LIANG Wenli LIU Rui JI Qin KOU Pinglang Chongqing Key Laboratory of GIS Application School of Geography and TourismChongqing Normal UniversityChongqing 401331China National Earth System Science Data Center Beijing 100000China Chongqing Engineering Research Center of Spatial Big Data Intelligent Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Tourism Multisource Data Perception and Decision Ministry of Culture and Tourism(TMDPDMCT)Chongqing University of Posts and TelecommunicationsChongqing 400065China
Glacier dynamics in the Himalayan midlatitudes,particularly in regions like the Shishapangma,are not yet fully understood,especially the localized topographic and climatic impacts on glacier *** study analyzes the spa... 详细信息
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RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback  31
RRHF-V: Ranking Responses to Mitigate Hallucinations in Mult...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Chen, Guoqing Zhang, Fu Lin, Jinghao Lu, Chenglong Cheng, Jingwei School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Multimodal large language models (MLLMs) demonstrate strong capabilities in multimodal understanding, reasoning, and interaction but still face the fundamental limitation of hallucinations, where they generate erroneo... 详细信息
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Enhancing Adversarial Example Transferability via Regularized Constrained Feature Layer
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Computers, Materials & Continua 2025年 第4期83卷 157-175页
作者: Xiaoyin Yi Long Chen Jiacheng Huang Ning Yu Qian Huang School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Chongqing Key Laboratory of Public Big Data Security Technology Chongqing401420China School of Cyber Security and Information Law Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of EducationChongqing400065China Artificial Intelligence and Big Data College Chongqing Polytechnic University of Electronic TechnologyChongqing401331China
Transfer-based Adversarial Attacks(TAAs)can deceive a victim model even without prior *** is achieved by leveraging the property of adversarial *** is,when generated from a surrogate model,they retain their features i... 详细信息
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SGMEA: Structure-Guided Multimodal Entity Alignment  31
SGMEA: Structure-Guided Multimodal Entity Alignment
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31st International Conference on Computational Linguistics, COLING 2025
作者: Cheng, Jingwei Guo, Mingxiao Zhang, Fu School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different multimodal knowledge graphs (MMKGs) by integrating structural information, entity attributes, and visual data, thereby promoting... 详细信息
来源: 评论
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction  31
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Re...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Li, Zehan Zhang, Fu Lyu, Kailun Cheng, Jingwei Peng, Tianyue School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Zero-shot Relation Triplet Extraction (ZSRTE) aims to extract triplets from the context where the relation patterns are unseen during training. Due to the inherent challenges of the ZSRTE task, existing extractive ZSR... 详细信息
来源: 评论