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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering and School of Business"
1008 条 记 录,以下是401-410 订阅
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One chatbot per person: Creating personalized chatbots based on implicit user profiles
arXiv
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arXiv 2021年
作者: Ma, Zhengyi Dou, Zhicheng Zhu, Yutao Zhong, Hanxun Wen, Ji-Rong Gaoling School of Artificial Intelligence Renmin University of China School of Information Renmin University of China Beijing Key Laboratory of Big Data Management and Analysis Methods Key Laboratory of Data Engineering and Knowledge Engineering MOE Université de Montréal MontréalQC Canada
Personalized chatbots focus on endowing chatbots with a consistent personality to behave like real users, give more informative responses, and further act as personal assistants. Existing personalized approaches tried... 详细信息
来源: 评论
Collaborative innovation community capacity building for electronic records security management  17
Collaborative innovation community capacity building for ele...
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17th International Conference on Intellectual Capital, knowledge Management and Organisational Learning, ICICKM 2020
作者: Wang, Lili An, Xiaomi Xu, Jicang Huang, Jie Guo, Mingjun Hu, Jufang School of Information Resource Management Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing China Renmin University of China Libraries Beijing China
With more and more governmental business going digital and collaborative to the best of whole government value and public value, electronic records security management (ERSM) faces great challenges. There is a growing... 详细信息
来源: 评论
Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan
Research Square
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Research Square 2024年
作者: LinLi, Zeqiang Hu, Kang Guo, Qingdong Guo, Shuixia School of Mathematics and Statistics Guangdong University of Foreign Studies Guangzhou510004 China MOE-LCSM School of Mathematics and Statistics Hunan Normal University Changsha410006 China School of Information Engineering Wuhan Business University Wuhan430056 China School of Mathematical Sciences Xiamen University Xiamen361005 China Key Laboratory of Applied Statistics and Data Science Hunan Normal University College of Hunan Province Changsha410006 China
Background. The maturation and ageing of the human brain involve intricate biological processes that result in complex changes in brain structure and function. Although the effects of aging on functional connectivity ... 详细信息
来源: 评论
A Survey on Fairness in Large Language Models
arXiv
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arXiv 2023年
作者: Li, Yingji Du, Mengnan Song, Rui Wang, Xin Wang, Ying College of Computer Science and Technology Jilin University Changchun130012 China Department of Data Science New Jersey Institute of Technology Newark United States School of Artificial Intelligence Jilin University Changchun130012 China Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun130012 China
Large Language Models (LLMs) have shown powerful performance and development prospects and are widely deployed in the real world. However, LLMs can capture social biases from unprocessed training data and propagate th... 详细信息
来源: 评论
Sparse Training data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation
Sparse Training Data-Based Hyperspectral Image Super Resolut...
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
作者: Jing Yang Changjing Shang Lu Chen Pan Su Qiang Shen School of Automation and Software Engineering Shanxi University Taiyuan China Department of Computer Science Aberystwyth University Aberystwyth UK Insti. of Big Data Science & Industry Shanxi University Taiyuan China Department of Computer Hebei Key Laboratory of Knowledge Computing for Energy & Power Baoding North China Electric Power University China
Hyperspectral image super resolution aims to improve the spatial resolution of given hyperspectral images, which has become a highly attractive topic in the field of image processing. Existing techniques typically foc...
来源: 评论
Pre-training for ad-hoc retrieval: Hyperlink is also you need
arXiv
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arXiv 2021年
作者: Ma, Zhengyi Dou, Zhicheng Xu, Wei Zhang, Xinyu Jiang, Hao Cao, Zhao Wen, Ji-Rong Gaoling School of Artificial Intelligence Renmin University of China Beijing China Distributed and Parallel Software Lab Huawei Beijing Key Laboratory of Big Data Management and Analysis Methods Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE Beijing China
Designing pre-training objectives that more closely resemble the downstream tasks for pre-trained language models can lead to better performance at the fine-tuning stage, especially in the ad-hoc retrieval area. Exist... 详细信息
来源: 评论
UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach
arXiv
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arXiv 2025年
作者: Zheng, Xiaoya Sun, Geng Li, Jiahui Wang, Jiacheng Wu, Qingqing Niyato, Dusit Jamalipour, Abbas College of Computer Science d Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University 639798 Singapore College of Computing and ta Science Nanyang Technological University 639798 Singapore Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electrical and Computer Engiering The University of Sydney SydneyNSW2006 Australia
The low-altitude economy (LAE), as a new economic paradigm, plays an indispensable role in cargo transportation, healthcare, infrastructure inspection, and especially post-disaster communication. Specifically, unmanne... 详细信息
来源: 评论
data Stream Classification Based on Extreme Learning Machine: A Review
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Big data Research 2022年 30卷
作者: Zheng, Xiulin Li, Peipei Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education China School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 China Mininglamp Academy of Sciences Mininglamp Technology Beijing 100084 China
Many daily applications are generating massive amount of data in the form of stream at an ever higher speed, such as medical data, clicking stream, internet record and banking transaction, etc. In contrast to the trad... 详细信息
来源: 评论
Mandari: Multi-Modal Temporal knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation
Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-grap...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Xiaoqian Liu Xiuyun Li Yuan Cao Fan Zhang Xiongnan Jin Jinpeng Chen School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing China The Technology Innovation Center of Cultural Tourism Big Data of Hebei Province Chengde China Hebei Normal University for Nationalities Chengde China Knowledge Discovery and Data Mining Research Center Zhejiang Lab Hangzhou China
Next-POI recommendation aims to explore from user check-in sequence to predict the next possible location to be visited. Existing methods are often difficult to model the implicit association of multi-modal data with ...
来源: 评论
Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree
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Chinese Journal of Aeronautics 2019年 第2期32卷 444-453页
作者: Zhiyao ZHAO Peng YAO Xiaoyi WANG Jiping XU Li WANG Jiabin YU School of Computer and Information Engineering Beijing Technology and Business University Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University College of Engineering Ocean University of China
Multirotor has been applied to many military and civilian mission scenarios. From the perspective of reliability, it is difficult to ensure that multirotors do not generate hardware and software failures or performanc... 详细信息
来源: 评论