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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Services"
1144 条 记 录,以下是471-480 订阅
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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
Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey
arXiv
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arXiv 2023年
作者: Xing, Zhibo Zhang, Zijian Liu, Jiamou Zhang, Ziang Li, Meng Zhu, Liehuang Russello, Giovanni The School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China The School of Computer Science The University of Auckland Auckland New Zealand Southeast Institute of Information Technology Beijing Institute of Technology Fujian China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230601 China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology China
With the rapid advancement of artificial intelligence technology, the usage of machine learning models is gradually becoming part of our daily lives. High-quality models rely not only on efficient optimization algorit... 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
Beam Tracking for High-Speed UAV Via Generative Diffusion Model-Enabled Joint Optimization Approach
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IEEE Transactions on Vehicular Technology 2025年
作者: Zhang, Jing Zhang, Chaofeng Feng, Xin Yang, Hongwei Liang, Shuang Sun, Geng Wang, Jiacheng Niyato, Dusit Changchun University of Science and Technology College of Computer Science and Technology Changchun130022 China Jilin University College of Communication Engineering Changchun130012 China Northeast Normal University School of Information Science and Technology Changchun130117 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun130012 China Jilin University College of Computer Science and Technology Changchun130012 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Nanyang Technological University 639798 Singapore
Beam tracking is crucial for maintaining stable data transmission in unmanned aerial vehicle (UAV) communications. However, a communication link can be disrupted by frequent switching of narrow beams between a base st... 详细信息
来源: 评论
Rankings never really quantify contributions: A quantitative and qualitative study on universities and their libraries
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Journal of Library Science in China 2020年 117-126页
作者: Shelia X.WEI Ronda J.ZHANG Howell Y.WANG CAO Cong Fred Y.YE International Joint Informatics Laboratory & Jiangsu Key Laboratory of Data Engineering and Knowledge Services School of Information Management Nanjing University Nottingham University Business School University of Nottingham
By comparing quantitative ranking with qualitative contributions, we reveal that academic assessment has to put real contributions ahead of quantitative indicators and that rankings have nothing to do with universitie...
来源: 评论
A key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures
A Key-phrase Extraction Method Based on Multi-size Convoluti...
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IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)
作者: Yuhong Zhang Yuxin Xie Peipei Li Xuegang Hu Ministry of Education Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei Hefei University of Technology Hefei China
The key-phrase extraction is important for the downstream tasks in natural language process, and has attracted a lot of attention. Compared with other documents, scientific literatures contain many long phrases. Most ... 详细信息
来源: 评论
Multiagent Q-Learning for Multicrew Dynamic Scheduling and Routing in Road Network Restoration
Multiagent Q-Learning for Multicrew Dynamic Scheduling and R...
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Chinese Control and Decision Conference, CCDC
作者: Yufeng Shen Lianqi Duan Qianshun Zhu Zhaopin Su Guofu Zhang School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 School of Computer Science and Information Engineering Hefei University of Technology Hefei Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education Hefei Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology) Hefei Anhui Province Key Laboratory of Industry Safety and Emergency Technology (Hefei University of Technology) Heifei
Road network restoration is an important issue in the post-disaster disposal and rescue, especially when extraordinarily serious natural disasters (e.g., floods and earthquakes) occur. Central to this endeavour is the... 详细信息
来源: 评论
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
arXiv
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arXiv 2022年
作者: Zhao, Yunrui Xu, Qianqian Jiang, Yangbangyan Wen, Peisong Huang, Qingming School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China State Key Laboratory of Information Security Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences China
Positive-Unlabeled (PU) learning tries to learn binary classifiers from a few labeled positive examples with many unlabeled ones. Compared with ordinary semi-supervised learning, this task is much more challenging due... 详细信息
来源: 评论
PSSL: Self-supervised learning for personalized search with contrastive sampling
arXiv
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arXiv 2021年
作者: Zhou, Yujia Dou, Zhicheng Zhu, Yutao Wen, Ji-Rong Gaoling School of Artificial Intelligence Renmin University of China School of Information Renmin University of China Université de Montréal MontréalQC Canada Beijing Key Laboratory of Big Data Management and Analysis Methods Key Laboratory of Data Engineering and Knowledge Engineering MOE
Personalized search plays a crucial role in improving user search experience owing to its ability to build user profiles based on historical behaviors. Previous studies have made great progress in extracting personal ... 详细信息
来源: 评论
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