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检索条件"机构=Shanghai Engineering Research Center on Big Data Management System"
73 条 记 录,以下是1-10 订阅
排序:
UnifiedGEC: Integrating Grammatical Error Correction Approaches for Multi-languages with a Unified Framework  31
UnifiedGEC: Integrating Grammatical Error Correction Approac...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Zhao, Yike Wang, Xiaoman Lan, Yunshi Qian, Weining School of Data Science and Engineering East China Normal University Shanghai Engineering Research Center of Big Data Management China
Grammatical Error Correction is an important research direction in NLP field. Although many models of different architectures and datasets across different languages have been developed to support the research, there ... 详细信息
来源: 评论
Large Language Models are Good Annotators for Type-aware data Augmentation in Grammatical Error Correction  31
Large Language Models are Good Annotators for Type-aware Dat...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Li, Xinyuan Lan, Yunshi East China Normal University China Shanghai Engineering Research Center of Big Data Management China
Large Language Models (LLMs) have achieved outstanding performance across various NLP tasks. Grammatical Error Correction (GEC) is a task aiming at automatically correcting grammatical errors in text, but it encounter... 详细信息
来源: 评论
Psychological Counseling with Integration of Knowledge Graph and Multi-Agent Collaboration
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Journal of shanghai Jiaotong University (Science) 2025年 1-13页
作者: Liu, Xi Zheng, Xiaohu Cui, Weiwei College of Information Science and Technology Donghua University Shanghai201620 China Institute of artificial Intelligence Donghua University Shanghai201620 China Shanghai Engineering Center of Industrial Big Data and Intelligent System Shanghai201620 China Management College Wuzhou University Guangxi Wuzhou543003 China
Applying large language models (LLMs) to psychological counseling can reduce costs and lower barriers to access. However, issues inherent to LLMs, such as output hallucinations, knowledge lags, and response biases, li... 详细信息
来源: 评论
Puzzle mode graph learning with pattern composition relationships reasoning for defect detection of printed products
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Journal of Manufacturing systems 2025年 81卷 34-48页
作者: Zhu, Zixun Zhang, Jie Wang, Junliang Zhang, Peng Li, Jiacheng College of Mechanical Engineering Donghua University Shanghai China Engineering Research Center of Artificial Intelligence for Textile Industry Ministry of Education Institute of Artificial Intelligence Donghua University Shanghai China Shanghai Engineering Research Center of Industrial Big Data Intelligent System Institute of Artificial Intelligence Donghua University Shanghai China College of Materials Science and Engineering Donghua University Shanghai China
Patterns are designs composed of specific elements and are widely present in various printed products, representing particular design intentions. However, due to printing errors, pattern defects are extremely common i... 详细信息
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RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning  25
RELIEF: Reinforcement Learning Empowered Graph Feature Promp...
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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and data Mining V.1
作者: Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian East China Normal University Shanghai China East China Normal University Shanghai China Engineering Research Center of Blockchain Data Management (East China Normal University) Ministry of Education Shanghai China & Shanghai Engineering Research Center of Big Data Management Shanghai China
The advent of the "pre-train, prompt'' paradigm has recently extended its generalization ability and data efficiency to graph representation learning, following its achievements in Natural Language Proces... 详细信息
来源: 评论
Out-of-Distribution Fault Diagnosis of Industrial Cyber-Physical systems Based on Orthogonal Anchor Clustering With Adaptive Balance
IEEE Transactions on Industrial Cyber-Physical Systems
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IEEE Transactions on Industrial Cyber-Physical systems 2025年 3卷 48-60页
作者: Liu, Ruonan Hu, Puyuan Zhao, Siheng Sun, Zhijian Han, Te Pang, Zhibo Zhang, Weidong Shanghai Jiao Tong University Department of Automation Shanghai200240 China National Key Laboratory of Marine Engine Science and Technology Shanghai201108 China Crossocean of Suzhou Technology Suzhou215121 China Beijing Institute of Technology Center for Energy and Environmental Policy Research School of Management Beijing100081 China ABB Corporate Research Sweden Department of Automation Technology Vasteras722 26 Sweden KTH Royal Institute of Technology Department of Intelligent Systems Stockholm114 28 Sweden Henan University Henan Key Laboratory of Big Data Analysis and Processing School of Computer and Information Engineering Kaifeng475001 China Shanghai Jiaotong University Department of Automation Shanghai200240 China
Given the critical role of rotating machinery in industrial cyber-physical systems (ICPS), ensuring their reliable operation is essential for the stability and safety of ICPS. Deep neural networks have demonstrated co... 详细信息
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Interval quantile correlations with applications to testing high-dimensional quantile effects
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Journal of Econometrics 2025年 249卷
作者: Zhang, Yaowu Zhou, Yeqing Zhu, Liping Research Institute for Interdisciplinary Sciences School of Information Management and Engineering Shanghai University of Finance and Economics China School of Mathematical Sciences School of Economics and Management and Key Laboratory of Intelligent Computing and Applications Tongji University China Center for Applied Statistics and Institute of Statistics and Big Data Renmin University of China China
In this article, we propose interval quantile correlation and interval quantile partial correlation to measure the association between two random variables over an interval of quantile levels. We construct efficient e... 详细信息
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Multifactor SM9 blind signature large models data privacy preservation approach
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Peer-to-Peer Networking and Applications 2025年 第4期18卷 1-19页
作者: Zhang, Jiazheng Li, Shouwei Chen, Minghui School of Cyber Science and Engineering Southeast University Nanjing211189 China School of Economics and Management Southeast University Nanjing211189 China Research and Development Center for System and Information Engineering Southeast University Nanjing211189 China Laboratory of Philosophy and Social Sciences at Universities in Jiangsu Province-Fintech and Big Data Laboratory of Southeast University Nanjing211189 China
In response to the need for a privacy protection method for Large models(LM) data that can accommodate partial information hiding and authentication of both data and interactor identity, paper proposes an enhanced SM9... 详细信息
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FedPHE: A Secure and Efficient Federated Learning via Packed Homomorphic Encryption
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Li, Yuqing Yan, Nan Chen, Jing Wang, Xiong Hong, Jianan He, Kun Wang, Wei Li, Bo Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Wuhan University RiZhao Information Technology Institute Rizhao276800 China Huazhong University of Science and Technology 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 Wuhan430074 China Shanghai Jiao Tong University School of Cyber Science and Engineering Shanghai200240 China Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong
Cross-silo federated learning (FL) enables multiple institutions (clients) to collaboratively build a global model without sharing private data. To prevent privacy leakage during aggregation, homomorphic encryption (H... 详细信息
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A hybrid surrogate-assisted dual-population co-evolutionary algorithm for multi-area integrated scheduling in wafer fabs
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Swarm and Evolutionary Computation 2025年 96卷
作者: Mengyu Jin Peng Zhang Youlong Lv Ming Wang Wenbing Xiang Hongsen Li Jie Zhang Engineering Research Center of Artificial Intelligence for Textile Industry Ministry of Education Institute of Artificial Intelligence Donghua University Shanghai China Shanghai Engineering Research Center of Industrial Big Data and Intelligent System Institute of Artificial Intelligence Donghua University Shanghai China College of Mechanical Engineering Donghua University Shanghai China
In wafer fabrication, multiple areas handle different processes and production flows. To maintain the desired chemical and physical properties of wafers, strict time window constraints (TWCs) must be observed as wafer...
来源: 评论