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检索条件"机构=Key Laboratory of Software Engineering for Complex System"
1925 条 记 录,以下是31-40 订阅
排序:
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
arXiv
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arXiv 2025年
作者: Zhang, Yuwei Jin, Zhi Xing, Ying Li, Ge Liu, Fang Zhu, Jiaxin Dou, Wensheng Wei, Jun Affiliated with Nanjing Institute of Software Technology University of Chinese Academy of Sciences Nanjing China Key Laboratory of System Software Chinese Academy of Sciences Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Key Laboratory of High Confidence Software Technologies Peking University Ministry of Education School of Computer Science Peking University Beijing China School of Computer Science Wuhan University Wuhan China School of Intelligent Engineering and Automation Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Complex & Critical Software Environment School of Computer Science and Engineering Beihang University Beijing China
Bug fixing holds significant importance in software development and maintenance. Recent research has made substantial strides in exploring the potential of large language models (LLMs) for automatically resolving soft... 详细信息
来源: 评论
CoEdge: A Collaborative Architecture for Efficient Task Offloading among Multiple Edge Service Providers
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IEEE Internet of Things Journal 2025年
作者: Xie, Xingrui Cheng, Geyao Liu, Han Luo, Lailong Ren, Bangbang Guo, Deke National University of Defense Technology National Key Laboratory of Information Systems Engineering Hunan Changsha410073 China National University of Defense Technology State Key Laboratory of Complex and Critical Software Environment College of Information and Communication Hubei Wuhan430019 China National University of Defense Technology National Key Laboratory of Information Systems Engineering National Laboratory for Parallel and Distributed Processing Hunan Changsha410073 China
Edge computing is an emerging paradigm poised to process a substantial portion of latency-sensitive and computation-intensive tasks through edge service providers (ESPs). However, these ESPs typically operate independ... 详细信息
来源: 评论
S2KAN-SLAM: Elastic Neural LiDAR SLAM with SDF Submaps and Kolmogorov-Arnold Networks
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IEEE Transactions on Circuits and systems for Video Technology 2025年
作者: Wang, Zhong Zhang, Lin Wang, Hesheng Shanghai Jiao Tong University State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Tongji University School of Computer Science and Technology National Pilot Software Engineering School with Chinese Characteristics Shanghai201804 China
Traditional LiDAR SLAM approaches prioritize localization over mapping, yet high-precision dense maps are essential for numerous applications involving intelligent agents. Recent advancements have introduced methods l... 详细信息
来源: 评论
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
arXiv
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arXiv 2025年
作者: Zhang, Jinjin Huang, Qiuyu Liu, Junjie Guo, Xiefan Huang, Di State Key Laboratory of Complex and Critical Software Environment Beihang University Beijing100191 China School of Computer Science and Engineering Beihang University Beijing100191 China Meituan China
In this paper, we present Diffusion-4K, a novel framework for direct ultra-high-resolution image synthesis using text-to-image diffusion models. The core advancements include: (1) Aesthetic-4K Benchmark: addressing th... 详细信息
来源: 评论
An Encoder-Decoder Model Based On Spiking Neural Networks For Address Event Representation Object Recognition
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IEEE Transactions on Cognitive and Developmental systems 2025年
作者: Du, Sichun Zhu, Haodi Zhang, Yang Hong, Qinghui Hunan University College of Computer Science and Electronic Engineering Changsha418002 China Shenzhen University Computer Vision Institute School of Computer Science and Software Engineering National Engineering Laboratory for Big Data System Computing Technology Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the spiking neural network (SNN)... 详细信息
来源: 评论
Design of High-efficiency Transmitarray with Beam Steering and Low Scattering Characteristic
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IEEE Transactions on Antennas and Propagation 2025年
作者: Shaozhi, Wang Zihao, Zheng Weiwei, Wu Yuhong, Ma Jingjian, Huang Qingzhan, Shi Naichang, Yuan National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Hunan Changsha410000 China National University of Defense Technology College of Electronic Engineering Hefei230037 China
This article introduces a hybrid design method for high-efficiency absorbing Reconfigurable Transmitarray (ARTA). By cascading an absorbing layer with a 2-bit reconfigurable layer, the transmission unitcells can reali... 详细信息
来源: 评论
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images
arXiv
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arXiv 2025年
作者: Li, Yihui Lv, Chengxin Yang, Hongyu Huang, Di State Key Laboratory of Complex and Critical Software Environment Beijing China School of Computer Science and Engineering Beihang University China School of Artificial Intelligence Beihang University China Shanghai Artificial Intelligence Laboratory Shanghai China
3D reconstruction from unconstrained image collections presents substantial challenges due to varying appearances and transient occlusions. In this paper, we introduce Micro-macro Wavelet-based Gaussian Splatting (MW-... 详细信息
来源: 评论
IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Graph and Generative LLM
IFKG: An Intelligent Fault Diagnosis Tool with Knowledge Gra...
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IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)
作者: Xixuan Yang Tong Jia Ying Li Gang Huang School of Software and Microelectronics Peking University Beijing China Institute for Artificial Intelligence Peking University Beijing China National Key Laboratory of Data Space Technology and System Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China
The development of effective diagnostic methodolo-gies for software system failures is of paramount importance. Traditional methods, which rely on specialized terminology and intricate reasoning, require users to have... 详细信息
来源: 评论
Automatic Inverse Synthetic Aperture Radar Ship Targets Recognition using Simple Multiple Kernel Learning: Automatic ISAR Ship Targets Recognition using Simple-MKL  24
Automatic Inverse Synthetic Aperture Radar Ship Targets Reco...
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Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management
作者: Yuan Wu Fulin Su Xue Li Peipei Zhu Xunwei Xie National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu Sichuan China School of Electronics and Information Engineering Harbin Institute of Technology Harbin Heilongjiang China
In radar automatic target recognition (RATR), inverse synthetic aperture radar (ISAR) image recognition shows its advantages. Due to the limited sample size of ISAR images, support vector machine (SVM), known for its ... 详细信息
来源: 评论
SlotFusion: Object-Centric Audiovisual Feature Fusion with Slot Attention for Remote Sensing Scene Recognition
SlotFusion: Object-Centric Audiovisual Feature Fusion with S...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Fangzhou Han Tianyi Yu Lamei Zhang Lingyu Si Yiqi Zhang Dept. of Information Engineering Harbin Institute of Technology Harbin China National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing China Institute of Software Chinese Academy of Sciences Beijing China
Despite significant advancements in remote sensing multimodal learning, particularly in image-image feature fusion, the exploration of audio-image feature fusion remains insufficient. Given the complexity and redundan... 详细信息
来源: 评论