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检索条件"机构=Software Engineering Technology Laboratory"
7799 条 记 录,以下是561-570 订阅
排序:
A Comprehensive Survey on Communication-Efficient Federated Learning in Mobile Edge Environments
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IEEE Communications Surveys and Tutorials 2025年
作者: Jia, Ninghui Qu, Zhihao Ye, Baoliu Wang, Yanyan Hu, Shihong Guo, Song Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources College of Computer Science and Software Engineering Nanjing211100 China Nanjing University State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing210023 China The Hong Kong University of Science and Technology Department of Computer Science and Engineering Kowloon Hong Kong
In traditional centralized machine learning, transmitting raw data to a cloud center incurs high communication costs and raises privacy concerns. This is particularly challenging in mobile edge environments, where dev... 详细信息
来源: 评论
A Knowledge-Enhanced Contrastive Learning Network for Weakly-Supervised Aspect Detection
IEEE Transactions on Audio, Speech and Language Processing
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IEEE Transactions on Audio, Speech and Language Processing 2025年 33卷 506-517页
作者: Zhuoming Zheng Yi Cai Liuwu Li School of Software Engineering South China University of Technology Guangzhou China Key Laboratory of Big Data and Intelligent Robot Ministry of Education South China University of Technology Guangzhou China
Aspect detection, aiming at identifying the aspects of review segments, is a fundamental task in opinion mining and aspect-based sentiment analysis. Due to the high cost and time consuming of human-annotation for mass... 详细信息
来源: 评论
SCaR: refining skill chaining for long-horizon robotic manipulation via dual regularization  24
SCaR: refining skill chaining for long-horizon robotic manip...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Zixuan Chen Ze Ji Jing Huo Yang Gao State Key Laboratory for Novel Software Technology Nanjing University China School of Engineering Cardiff University UK
Long-horizon robotic manipulation tasks typically involve a series of interrelated sub-tasks spanning multiple execution stages. Skill chaining offers a feasible solution for these tasks by pre-training the skills for...
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Test Generation for Mutation Testing by Symbolic Execution  23
Test Generation for Mutation Testing by Symbolic Execution
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23rd IEEE International Conference on software Quality, Reliability, and Security Companion, QRS-C 2023
作者: Su, Rui Zhang, Zhiyi Zhou, Yuqian Yao, Yongming Collage of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China Nanjing University of Aeronautics and Astronautics Ministry Key Laboratory for Safety-Critical Software Development and Verification Nanjing China Army Engineering of PLA Nanjing China
Mutation testing is a crucial technique to assess the effectiveness of test suites, but it can be computationally expensive. Symbolic execution is a formal technique that generates high-coverage test cases, but its sc... 详细信息
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A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
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Energy and AI 2023年 第4期14卷 221-237页
作者: Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel
In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct compar... 详细信息
来源: 评论
Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning
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IEEE Transactions on Circuits and Systems for Video technology 2025年
作者: Liang, Fang-Yi Zhan, Yu-Wei Liu, Jiale Zhang, Chong-Yu Chen, Zhen-Duo Luo, Xin Xu, Xin-Shun Shandong University School of Software Jinan250101 China Tsinghua University Department of Computer Science and Technology Beijing100084 China Yunnan Key Laboratory of Software Engineering Kunming650504 China
Few-Shot Class-Incremental Learning (FSCIL) aims to continuously learn new classes from limited samples while preventing catastrophic forgetting. With the increasing distribution of learning data across different clie... 详细信息
来源: 评论
A Stationary Random Process based Privacy-Utility Tradeoff in Differential Privacy  5
A Stationary Random Process based Privacy-Utility Tradeoff i...
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5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
作者: Yan, Hongmiao Wang, Yun Yao, Lin Zhong, Xiaoxiong Zhao, Junsuo School of Software Dalian University of Technology Dalian China The 10th Research Institute China Electronics Technology Group Corporation Chengdu China DUT-RU International School of Information Science & Engineering Dalian University of Technology Dalian China Peng Cheng Laboratory Shenzhen China Institute of Software Chinese Academy of Sciences Beijing China
Differential Privacy (DP) emerged as a promising solution to resist privacy attack and provided provable privacy guarantee. DP mechanisms typically introduce data perturbation to achieve almost equally statistical res... 详细信息
来源: 评论
Towards Planning Package Delivery Paths by Exploiting the Crowd of Private Cars  24
Towards Planning Package Delivery Paths by Exploiting the Cr...
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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022
作者: Nie, Hejing Wen, Yiping Li, Tiancai Ouyang, Sipeng Tian, Muyang School of Computer Science and Engineering Hunan University of Science and Technology China Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology China
Crowdsourced delivery can provide cost-effective deliveries and it is becoming increasingly important in practice. This paper considers a package delivery problem which exploits relays of private cars to transport pac... 详细信息
来源: 评论
Efficient Inverse Analysis for Solving a Coupled Conduction,Convection and Radiation Problem Involving Non⁃gray Participating Media
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Transactions of Nanjing University of Aeronautics and Astronautics 2024年 第5期41卷 621-631页
作者: HE Zheng CAO Zhenkun CHENG Xiang CUI Miao LIU Kun School of Mechanics and Aerospace Engineering State Key Laboratory of Structural AnalysisOptimization and CAE Software for Industrial EquipmentDalian University of TechnologyDalian 116024P.R.China Science and Technology on Space Physics Laboratory CALTBeijing 100076P.R.China
The presence of non-gray radiative properties in a reheating furnace’s medium that absorbs,emits,and involves non-gray creates more complex radiative heat transfer ***,it adds difficulty to solving the coupled conduc... 详细信息
来源: 评论
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
arXiv
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arXiv 2025年
作者: Chen, Ning Lyu, Shen-Huan Wu, Tian-Shuang Wang, Yanyan Tang, Bin Key Laboratory of Water Big Data Technology of Ministry of Water Resources College of Computer Science and Software Engineering Hohai University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China
In multi-label learning, leveraging contrastive learning to learn better representations faces a key challenge: selecting positive and negative samples and effectively utilizing label information. Previous studies sel... 详细信息
来源: 评论