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检索条件"机构=School of System Engineering and Computer Science"
4407 条 记 录,以下是81-90 订阅
排序:
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows
MeHyper: Accelerating Hypergraph Neural Networks by Explorin...
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IEEE Symposium on High-Performance computer Architecture
作者: Wenju Zhao Pengcheng Yao Dan Chen Long Zheng Xiaofei Liao Qinggang Wang Shaobo Ma Yu Li Haifeng Liu Wenjing Xiao Yufei Sun Bing Zhu Hai Jin Jingling Xue National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computing National University of Singapore Singapore School of Computer Electronics and Information Guangxi University NanNing China School of Computer Science and Engineering University of New South Wales Sydney NSW Australia
Hypergraph Neural Networks (HGNNs) are increasingly utilized to analyze complex inter-entity relationships. Traditional HGNN systems, based on a hyperedge-centric dataflow model, independently process aggregation task... 详细信息
来源: 评论
Graph attention based on contextual reasoning and emotion-shift awareness for emotion recognition in conversations
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Complex and Intelligent systems 2025年 第7期11卷 1-20页
作者: Yang, Juan Wei, Puling Du, Xu Shen, Jun College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Province Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan 430081 China National Engineering Research Center for E‑Learning Central China Normal University Wuhan 430079 China School of Computing and Information Technology University of Wollongong 2522 NSW Australia
Emotion recognition in conversations has recently emerged as a hot research topic owing to its increasingly important role in developing intelligent empathy services. Thoroughly exploring the conversational context an... 详细信息
来源: 评论
Formation and Obstacle Avoidance Control Based on Multi-Agent Reinforcement Learning
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IEEE Transactions on Network science and engineering 2025年
作者: Niu, Fuxi Nian, Xiaohong Pan, Chao Dia, Xunhua Wang, Haibo Xiong, Hongyun Central South University Key Lab of Institute of cluster unmanned system School of automation Changsha410083 China Central South University School of computer science and engineering Changsha410083 China
For the multi-agent formation control problem, the current mainstream control methods are based on graph theory and consistency theory, which often require precise modeling of the system and rigorous mathematical reas... 详细信息
来源: 评论
Deepfake Detection and Mitigation Using Advanced CNN: Ensuring Digital Content Integrity
Deepfake Detection and Mitigation Using Advanced CNN: Ensuri...
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Advancement in Computation & computer Technologies (InCACCT), International Conference on
作者: Palvi Sharma Shubham Gupta Monu Sharma Neha Gupta Dept. of CSE Model Institute of Engineering & Technology Jammu India Valley Health System Winchester Virginia School of Computer Science and Engineering Geeta University
Deepfake technology, with its hyper-realistic fake content and backed by AI technologies, presents a serious threat to the authenticity and security of digital content. The study deployed three different machine learn... 详细信息
来源: 评论
Uplink Performance of Cell-Free Symbiotic Radio With Hardware Impairments for IoT
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IEEE Internet of Things Journal 2025年
作者: Sun, Qiang Zhou, Yu Shen, Yushi Li, Feiyang Chen, Xiaomin Li, Dong Zhang, Jiayi Nantong University School of Information Science and Technology Nantong226019 China NovNet Computing System Tech Company Beijing100081 China Macau University of Science and Technology School of Computer Science and Engineering Taipa999078 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China
Cell-free massive multiple-input multiple-output symbiotic radio (CF-SR) has recently been introduced as a promising solution for the Internet of Things (IoT), offering cost advantages and more uniform coverage perfor... 详细信息
来源: 评论
AegonKV: a high bandwidth, low tail latency, and low storage cost KV-separated LSM store with SmartSSD-based GC offloading  25
AegonKV: a high bandwidth, low tail latency, and low storage...
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Proceedings of the 23rd USENIX Conference on File and Storage Technologies
作者: Zhuohui Duan Hao Feng Haikun Liu Xiaofei Liao Hai Jin Bangyu Li National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
The key-value separation is renowned for its significant mitigation of the write amplification inherent in traditional LSM trees. However, KV separation potentially increases performance overhead in the management of ...
来源: 评论
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
arXiv
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arXiv 2025年
作者: Bi, Zhangqian Wan, Yao Chu, Zhaoyang Hu, Yufei Zhang, Junyi Zhang, Hongyu Xu, Guandong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Big Data and Software Engineering Chongqing University Chongqing China School of Computer Science University of Technology Sydney Sydney Australia
Pre-training a language model and then fine-tuning it has shown to be an efficient and effective technique for a wide range of code intelligence tasks, such as code generation, code summarization, and vulnerability de... 详细信息
来源: 评论
A Comparative Study of YOLOv5 and YOLOv8 for Helmet Detection Inside ATMs
A Comparative Study of YOLOv5 and YOLOv8 for Helmet Detectio...
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Advancement in Computation & computer Technologies (InCACCT), International Conference on
作者: Prashant Kumar Sharma Lakshmipriya B Poonguzhali N Jayalakshmy S School of Computer Science & Engineering Vellore Institute of Technology Chennai India School of Engineering Jawaharlal Nehru University New Delhi India School of Computer & System Sciences Jawaharlal Nehru University New Delhi India Electronics & Communication Engineering IFET College of Engineering Villupuram India
Automated helmet detection inside automated teller machine (ATM) cabin for cash dispense can enhance security as well as serves as a means to prevent heist and vandalism. This study presents a comparative study on hel... 详细信息
来源: 评论
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
How to Select Pre-Trained Code Models for Reuse? A Learning ...
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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
作者: Zhangqian Bi Yao Wan Zhaoyang Chu Yufei Hu Junyi Zhang Hongyu Zhang Guandong Xu Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Big Data and Software Engineering Chongqing University Chongqing China School of Computer Science University of Technology Sydney Sydney Australia
Pre-training a language model and then fine-tuning it has shown to be an efficient and effective technique for a wide range of code intelligence tasks, such as code generation, code summarization, and vulnerability de... 详细信息
来源: 评论
DSAA: Cross-modal transferable double sparse adversarial attacks from images to videos
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Neurocomputing 2025年 639卷
作者: Han, Xueqiang Zhang, Shihui Wang, Houlin Tian, Qing School of Information Science and Engineering Yanshan University Hebei Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Hebei Qinhuangdao China Department of Computer Science University of Alabama at Birmingham AL United States
Recent preliminary research has examined cross-modal attacks, enabling the transition of unlabeled attacks from images to videos. The current cross-modal attacks are mainly dense attacks, while sparse attacks have not... 详细信息
来源: 评论