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检索条件"机构=National Key Lab of Novel Software Technology and Department of Computer Science and Technology"
2029 条 记 录,以下是91-100 订阅
排序:
GNNFORMER: A GRAPH-BASED FRAMEWORK FOR CYTOPATHOLOGY REPORT GENERATION
arXiv
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arXiv 2023年
作者: Zhou, Yang-Fan Yao, Kai-Lang Li, Wu-Jun National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University China
Cytopathology report generation is a necessary step for the standardized examination of pathology images. However, manually writing detailed reports brings heavy workloads for pathologists. To improve efficiency, some... 详细信息
来源: 评论
Controllable Financial Market Generation with Diffusion Guided Meta Agent
arXiv
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arXiv 2024年
作者: Huang, Yu-Hao Xu, Chang Liu, Yang Liu, Weiqing Li, Wu-Jun Bian, Jiang National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University China Microsoft Research Asia China
Order flow modeling stands as the most fundamental and essential financial task, as orders embody the minimal unit within a financial market. However, current approaches often result in unsatisfactory fidelity in gene... 详细信息
来源: 评论
On the Optimal Batch Size for Byzantine-Robust Distributed Learning
arXiv
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arXiv 2023年
作者: Yang, Yi-Rui Shi, Chang-Wei Li, Wu-Jun National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University China
Byzantine-robust distributed learning (BRDL), in which computing devices are likely to behave abnormally due to accidental failures or malicious attacks, has recently become a hot research topic. However, even in the ... 详细信息
来源: 评论
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning
arXiv
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arXiv 2023年
作者: Yang, Yi-Rui Wang, Kun Li, Wu-Jun National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University China
Federated learning (FL) has recently become a hot research topic, in which Byzantine robustness, communication efficiency and privacy preservation are three important aspects. However, the tension among these three as... 详细信息
来源: 评论
SOFTENED SYMBOL GROUNDING FOR NEURO-SYMBOLIC SYSTEMS
arXiv
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arXiv 2024年
作者: Li, Zenan Yao, Yuan Chen, Taolue Xu, Jingwei Cao, Chun Ma, Xiaoxing Lü, Jian State Key Lab of Novel Software Technology Department of Computer Science and Technology Nanjing University China Department of Computer Science Birkbeck University of London United Kingdom
Neuro-symbolic learning generally consists of two separated worlds, i.e., neural network training and symbolic constraint solving, whose success hinges on symbol grounding, a fundamental problem in AI. This paper pres... 详细信息
来源: 评论
Actor of Things: Resilient and Efficient Distributed AIoT Applications in an Actor System
Actor of Things: Resilient and Efficient Distributed AIoT Ap...
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Asia-Pacific Conference on software Engineering
作者: Tianqi Ren Chun Cao Jun Ma Department of Computer Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Nanjing China
Complex and distributed AIoT applications usually involve multiple interconnected heterogeneous devices, leading to requirements of modeling device states and interaction diagrams. It is found that actor model is well... 详细信息
来源: 评论
Adaptively feature matching via joint transformational-spatial clustering
Adaptively feature matching via joint transformational-spati...
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作者: Wang, Linbo Tan, Li Fang, Xianyong Guo, Yanwen Wan, Shaohua MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei China National Key Lab for Novel Software Technology Nanjing University Nanjing China School of Information and Safety Engineering Zhongnan University of Economics and Law Wuhan China
The transformational and spatial proximities are important cues for identifying inliers from an appearance based match set because correct matches generally stay close in input images and share similar local transform... 详细信息
来源: 评论
RAT: A Refactoring-Aware Tool for Tracking Code History  24
RAT: A Refactoring-Aware Tool for Tracking Code History
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46th International Conference on software Engineering: Companion, ICSE-Companion 2024
作者: Niu, Feifei Shao, Junqian Xu, Chaofan Mayr-Dorn, Christoph Assunção, Wesley K. G. Huang, Liguo Li, Chuanyi Ge, Jidong Luo, Bin Egyed, Alexander State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Institute for Software Systems Engineering Johannes Kepler University Linz Austria Department of Computer Science North Carolina State University North Carolina United States Department of Computer Science and Engineering Southern Methodist University DallasTX United States
History of code elements is essential for software maintenance tasks. However, code refactoring is one of the main causes that makes obtaining a consistent view on code evolution difficult as renaming or moving source... 详细信息
来源: 评论
MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics  40
MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficien...
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40th IEEE International Conference on Data Engineering, ICDE 2024
作者: Chen, Yu Zhang, Sheng Zhou, Ziying Wang, Xiaokun Liang, Yu Chen, Ning Yan, Yuting Xiao, Mingjun Wu, Jie Qian, Zhuzhong Xu, Harry Nanjing University State Key Lab. for Novel Software Technology China School of Systems Science Beijing Normal University China School of Computer and Electronic Information School of Artificial Intelligence Nanjing Normal University China School of Computer Science and Technology University of Science and Technology of China China Temple University Center for Networked Computing United States Samueli School of Engineering University of California Computer Science Department Los Angeles United States
In recent years, many crowdsourcing platforms have emerged, using the resources of recruited workers to perform diverse outsourcing tasks, where the video analytics attracts much attention due to its practical implica... 详细信息
来源: 评论
Graph Contrastive Learning with Cohesive Subgraph Awareness  24
Graph Contrastive Learning with Cohesive Subgraph Awareness
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33rd ACM Web Conference, WWW 2024
作者: Wu, Yucheng Wang, Leye Han, Xiao Ye, Han-Jia Key Lab of High Confidence Software Technologies Peking University Ministry of Education School of Computer Science Peking University Beijing China School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai China National Key Laboratory for Novel Software Technology Nanjing University School of Artificial Intelligence Nanjing University Nanjing China
Graph contrastive learning (GCL) has emerged as a state-of-the-art strategy for learning representations of diverse graphs including social and biomedical networks. GCL widely uses stochastic graph topology augmentati... 详细信息
来源: 评论