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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering of"
1049 条 记 录,以下是141-150 订阅
排序:
Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach
Enhancing Nested Named Entity Recognition in Chinese EMRs: A...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Hongtao Yue Xiaoyue Feng Hanchi Xu Haoxuan Chu Yushi Wang Renchu Guan Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China Cardiovascular Center The First Hospital of Jilin University Changchun China
Named entity recognition (NER) in electronic medical records (EMRs) is critical for identifying medical entities, constructing medical knowledge graphs, and supporting clinical decision-making. However, the scarcity o... 详细信息
来源: 评论
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion  39
Skeleton-based Action Recognition with Non-linear Dependency...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Chen, Haipeng Yang, Yuheng Lyu, Yingda College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Public Computer Education and Research Center Jilin University China
Human skeleton-based action recognition has long been an indispensable aspect of artificial intelligence. Current state-of-the-art methods tend to consider only the dependencies between connected skeletal joints, limi...
来源: 评论
LLM-Powered User Simulator for Recommender System
arXiv
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arXiv 2024年
作者: Zhang, Zijian Liu, Shuchang Liu, Ziru Zhong, Rui Cai, Qingpeng Zhao, Xiangyu Zhang, Chunxu Liu, Qidong Jiang, Peng Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China Kuaishou Technology China City University of Hong Kong Hong Kong Xi’an Jiaotong University China
User simulators can rapidly generate a large volume of timely user behavior data, providing a testing platform for reinforcement learning-based recommender systems, thus accelerating their iteration and optimization. ... 详细信息
来源: 评论
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
arXiv
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arXiv 2025年
作者: Liu, Yonghao Li, Mengyu Pang, Wei Giunchiglia, Fausto Huang, Lan Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education College of Computer Science and Technology Jilin University China Mathematical and Computer Sciences Heriot-Watt University United Kingdom University of Trento Italy
Short text classification, as a research subtopic in natural language processing, is more challenging due to its semantic sparsity and insufficient labeled samples in practical scenarios. We propose a novel model name... 详细信息
来源: 评论
A Multi-UAV Trajectory Planning Algorithm for Time-Sensitive Data Collection  6
A Multi-UAV Trajectory Planning Algorithm for Time-Sensitive...
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6th International Conference on Next Generation Data-Driven Networks, NGDN 2024
作者: Zhang, Peng Liu, Baoyu Gao, Sihua Zhao, Bingyang Xu, Weifeng China's Aviation System Engineering Research Institute Beijing100029 China Chinese Aeronautical Establishment Beijing100012 China Civil Aviation University of China Tianjin300300 China Hebei 071066 China Hebei Key Laboratory of Knowledge Computing for Energy & Power Hebei 071066 China
Unmanned Aerial Vehicle has been employed to assist wireless sensor networks in collecting data that requires information freshness. However, due to the endurance of a single UAV, completing the data collection missio... 详细信息
来源: 评论
A Morphology Focused Cell Detection Model for Histopathology Images
A Morphology Focused Cell Detection Model for Histopathology...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Zhe Wang Fangyue Wei Shuyu Guo Xiaoting Che Tian Bai College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
The accurate automatic recognition of cell locations is of great significance for downstream tasks in pathology. Due to the various size and distribution of different cell types, previous cell detection methods applie...
来源: 评论
Testing Non-Commutativity of Reduce Functions with Multi-Column Inputs
SSRN
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SSRN 2024年
作者: Zhang, Xuan Zhu, Chenlu Li, Ning Zhang, Peng Liu, Lei College of Software Jilin University Jilin China College of Computer Science and Technology Jilin University Jilin China Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Jilin China
With the continuous development of the MapReduce programming model, it is necessary to ensure the reliability of MapReduce programs. In practice, the non-commutativity of Reduce functions seriously affects the reliabi... 详细信息
来源: 评论
VECLLF: A vehicle-edge collaborative lifelong learning framework for anomaly detection in VANETs
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Computer Networks 2025年 265卷
作者: Wang, Yingqing Liang, Yanhua Huang, Yue Qin, Guihe Jilin University College of Computer Science and Technology Changchun130012 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun130012 China Jilin University Center for Computer Fundamental Education Changchun130012 China
With the rapid development of intelligent connected vehicles, Vehicular Ad Hoc Network (VANET) is widely used in intelligent transportation systems. VANETs are vulnerable to attacks in their operating environments, su... 详细信息
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Positive and unlabeled learning with controlled probability boundary fence  24
Positive and unlabeled learning with controlled probability ...
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Proceedings of the 41st International Conference on Machine Learning
作者: Changchun Li Yuanchao Dai Lei Feng Ximing Li Bing Wang Jihong Ouyang College of Computer Science and Technology and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore
Positive and Unlabeled (PU) learning refers to a special case of binary classification, and technically, it aims to induce a binary classifier from a few labeled positive training instances and loads of unlabeled inst...
来源: 评论
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning  39
Boosting Short Text Classification with Multi-Source Informa...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Liu, Yonghao Li, Mengyu Pang, Wei Giunchiglia, Fausto Huang, Lan Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University China Mathematical and Computer Sciences Heriot-Watt University United Kingdom University of Trento Italy
Short text classification, as a research subtopic in natural language processing, is more challenging due to its semantic sparsity and insufficient labeled samples in practical scenarios. We propose a novel model name... 详细信息
来源: 评论