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检索条件"机构=Key Lab. of Data Engineering and Knowledge Engineering of Ministry of Education"
1539 条 记 录,以下是41-50 订阅
DSM: Question Generation over knowledge Base via Modeling Diverse Subgraphs with Meta-learner
DSM: Question Generation over Knowledge Base via Modeling Di...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Guo, Shasha Zhang, Jing Wang, Yanling Zhang, Qianyi Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China
Existing methods on knowledge base question generation (KBQG) learn a one-size-fits-all model by training together all subgraphs without distinguishing the diverse semantics of subgraphs. In this work, we show that ma... 详细信息
来源: 评论
Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style
Discovering Reliable Information Extraction Patterns with Pr...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Bu, Chenyang Liu, Jiacheng Liu, Jiaxuan Ji, Shengwei Yang, Hongbin School of Computer Science and Information Engineering Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei230027 China School of Artificial Intelligence and Big Data Hefei University China
Large-scale pre-trained models such as GPT and BERT have demonstrated remarkable performance in information extraction tasks. However, their black-box nature poses challenges for reliability and interpretability. In c... 详细信息
来源: 评论
Efficient Model Store and Reuse in an OLML database System
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Journal of Computer Science & Technology 2021年 第4期36卷 792-805页
作者: Jian-Wei Cui Wei Lu Xin Zhao Xiao-Yong Du Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of China Beijing 100872China School of Information Renmin University of ChinaBeijing 100872China
Deep learning has shown significant improvements on various machine learning tasks by introducing a wide spectrum of neural network ***,for these neural network models,it is necessary to lab.l a tremendous amount of t... 详细信息
来源: 评论
Partial lab.l Learning via Conditional-lab.l-Aware Disambiguation
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Journal of Computer Science & Technology 2021年 第3期36卷 590-605页
作者: Peng Ni Su-Yun Zhao Zhi-Gang Dai Hong Chen Cui-Ping Li Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China) Ministry of Education Beijing 100087China School of Information Renmin University of ChinaBeijing 100087China
Partial lab.l learning is a weakly supervised learning framework in which each instance is associated with multiple candidate lab.ls,among which only one is the ground-truth *** paper proposes a unified formulation th... 详细信息
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Federated Causally Invariant Feature Learning  39
Federated Causally Invariant Feature Learning
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Guo, Xianjie Yu, Kui Cui, Lizhen Yu, Han Li, Xiaoxiao School of Computer Science and Information Engineering Hefei University of Technology China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education China School of Software Shandong University China College of Computing and Data Science Nanyang Technological University Singapore Department of Electrical and Computer Engineering The University of British Columbia Canada Vector Institute Canada
Federated feature selection (FFS) is a promising field for selecting informative features while preserving data privacy in federated learning (FL) settings. Existing FFS methods focus on capturing the correlations bet... 详细信息
来源: 评论
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients  38
Virtual Scanning: Unsupervised Non-line-of-sight Imaging fro...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Cui, Xingyu Yue, Huanjing Li, Song Yin, Xiangjun Hou, Yusen Meng, Yun Zou, Kai Hu, Xiaolong Yang, Jingyu School of Electrical and Information Engineering Tianjin University China School of Precision Instrument and Optoelectronic Engineering Tianjin University China Key Lab. of Optoelectronic Information Science and Technology Ministry of Education China
Non-line-of-sight (NLOS) imaging allows for seeing hidden scenes around corners through active sensing. Most previous algorithms for NLOS reconstruction require dense transients acquired through regular scans over a l...
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Automated inspection of member deformation in grid structures using three-dimensional laser scanning  3
Automated inspection of member deformation in grid structure...
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3rd International Conference on Computer Vision and Pattern Analysis, ICCPA 2023
作者: Wei, Xiao-Chen Fan, Jian-Sheng Liu, Yu-Fei Key Lab. of Civil Engineering Safety and Durability of China Education Ministry Dept. of Civil Engineering Tsinghua Univ. Beijing100084 China
In large-span grid structures with thousands of members involved, member deformation is one of the most commonly-observed damages affecting the normal service, even the safety of structures. Generally, structural main... 详细信息
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Task Offloading Optimization Based on Position Prediction in Pedestrian- Robot Mixed Traffic Flows  8
Task Offloading Optimization Based on Position Prediction in...
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8th IEEE International Conference on Computer and Communications, ICCC 2022
作者: Zheng, Dawen Wang, Lusheng Kai, Caihong Peng, Min Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Service robots play an increasingly important role in people's daily life. The density of pedestrians is large and the movement is irregular in pedestrian-robot mixed traffic flows. Robots are prone to collision w... 详细信息
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Situation Awareness of Mars helicopter based on YOLOv7
Situation Awareness of Mars helicopter based on YOLOv7
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2023 International Symposium on Structural Dynamics of Aerospace, ISSDA 2023
作者: Qi, Yifan Xiao, Xueming Yao, Meibao Zhang, Lei Fu, Yuegang CVIR Lab Changchun University of Science and Technology China The Key Lab of Opto-electronic Measurement and Optical Information Transmission Technology Ministry of Education China School of Artificial Intelligence Jilin University Engineering Research Center of Knowledge-Driven Human-Machine Intelligence Ministry of Education China
Situation awareness on Mars is indispensable for various downstream applications such as navigation and path planning, mapping and scientific discover. However, current Mars rover platform suffered from the absence of... 详细信息
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KAN v.s. MLP for Offline Reinforcement Learning
KAN v.s. MLP for Offline Reinforcement Learning
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Guo, Haihong Li, Fengxin Li, Jiao Liu, Hongyan School of Information Renmin University of China China Institute of Medical Information Medical Library Chinese Academy of Medical Sciences Peking Union Medical College China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Economics and Management Tsinghua University China
Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promising alternative to the commonly used M... 详细信息
来源: 评论