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检索条件"机构=Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering"
1190 条 记 录,以下是61-70 订阅
排序:
The Discrete Approximation Problem for a Special Case of Hermite-Type Polynomial Interpolation
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Journal of Systems Science & Complexity 2022年 第5期35卷 2004-2015页
作者: GONG Yihe JIANG Xue ZHANG Shugong College of Science Northeast Electric Power UniversityJilin 132000China School of Mathematics and Systematic Sciences Shenyang Normal UniversityShenyang 110034China Institute of Mathematics Key Lab.of Symbolic Computation and Knowledge Engineering(Ministry of Education)Jilin UniversityChangchun 130012China
Every univariate Hermite interpolation problem can be written as a pointwise limit of Lagrange ***,this property is not preserved for the multivariate *** this paper,the authors first generalize the result of *** an a... 详细信息
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Migration: An Efficient Explorer Operator to Guide Swarm Evolution  1
Migration: An Efficient Explorer Operator to Guide Swarm Evo...
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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023
作者: Han, Xiaosong Zhou, Chengyang Liang, Yanchun Guan, Renchu College of Computer Science and Technology Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering National Education Ministry Changchun China College of Computer Science and Technology Zhuhai Laboratory of Key Laboratory for Symbol Computation and Knowledge Engineering Ministry of Education Jilin University Zhuhai College of Science and Technology Key Laboratory for Symbol Computation and Knowledge Engineering National Education Ministry Zhuhai China
Particle Swarm Optimization with Migration (MPSO) is proposed to solve the issue that PSO will encounter unbearable time cost problems when dealing with High-dimension, Expensive and Black-box objective function tasks... 详细信息
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Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling  38
Decision Mamba: Reinforcement Learning via Hybrid Selective ...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Huang, Sili Hu, Jifeng Yang, Zhejian Yang, Liwei Luo, Tao Chen, Hechang Sun, Lichao Yang, Bo Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China School of Artificial Intelligence Jilin University China Institute of High Performance Computing Agency for Science Technology and Research Singapore Lehigh University BethlehemPA United States
Recent works have shown the remarkable superiority of transformer models in reinforcement learning (RL), where the decision-making problem is formulated as sequential generation. Transformer-based agents could emerge ...
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Injecting Revenue-awareness into Cold-start Recommendation: The Case of Online Insurance  29
Injecting Revenue-awareness into Cold-start Recommendation: ...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Li, Yu Zhang, Yi Chang, Helen He Li, Qiang Jilin University College of Computer Science and Technology China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China WeSure Inc. Ping An Technology Shenzhen Co. Ltd China
In online insurance, one of the central challenges is the cold-starting of new insurance products, which means there are no previous samples to refer to. Previous studies have mainly focused on improving the predictio...
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Dual Space Representation Learning for Skeleton-based Action Recognition
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IEEE Signal Processing Letters 2025年 32卷 2104-2108页
作者: Yang, Yuheng Chen, Haipeng Liu, Zhenguang Hu, Sihao Jiao, Yingying Jilin University College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun130012 China Zhejiang University School of Cyber Science and Technology Hangzhou310007 China Georgia Institute of Technology College of Computing GA United States
Skeleton-based action recognition is crucial for machine intelligence. Current methods generally learn from 3D articulated motion sequences in the straightforward Euclidean space. Yet, the vanilla Euclidean space may ... 详细信息
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In-context decision transformer: reinforcement learning via hierarchical chain-of-thought  24
In-context decision transformer: reinforcement learning via ...
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Proceedings of the 41st International Conference on Machine Learning
作者: Sili Huang Jifeng Hu Hechang Chen Lichao Sun Bo Yang School of Artificial Intelligence and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China School of Artificial Intelligence Jilin University China Lehigh University Bethlehem Pennsylvania Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China
In-context learning is a promising approach for offline reinforcement learning (RL) to handle online tasks, which can be achieved by providing task prompts. Recent works demonstrated that in-context RL could emerge wi...
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An Area Optimization Approach for Large-Scale RM-TB Dual Logic Circuits Based on a Multitasking Optimization Algorithm
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IEEE Transactions on Computers 2025年
作者: Wu, Xiaoqian Wang, Peng Li, Shaoquan Liu, Huaxiao Liu, Lei Jilin University College of Computer Science and Technology Changchun China Key Laboratory of Symbolic Computation China Knowledge Engineering of Ministry of Education China
Logic synthesis is a crucial step in integrated circuit design, and area optimization is an indispensable part of this process. However, the area optimization problem for large-scale Fixed Polarity Reed-Muller (FPRM) ... 详细信息
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Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks  25
Dual-level Mixup for Graph Few-shot Learning with Fewer Task...
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34th ACM Web Conference, WWW 2025
作者: Liu, Yonghao Li, Mengyu Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education China
Graph neural networks have been demonstrated as a powerful paradigm for effectively learning graph-structured data on the web and mining content from it. Current leading graph models require a large number of labeled ... 详细信息
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ADAPTIVE DEPTH GRAPH ATTENTION NETWORKS
arXiv
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arXiv 2023年
作者: Zhou, Jingbo Du, Yixuan Zhang, Ruqiong Zhang, Rui Key Laboratory of Symbolic Computation and Knowledge Engineering of MOE Jilin University China
As one of the most popular GNN architectures, the graph attention networks (GAT) is considered the most advanced learning architecture for graph representation and has been widely used in various graph mining tasks wi... 详细信息
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2.5D ASF-UNet: Adjacent Slice Spatial Feature Fusion Model for WMH Segmentation from 3D MR Brain Image
2.5D ASF-UNet: Adjacent Slice Spatial Feature Fusion Model f...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Huang, Lan Sun, Yinglu Zhao, Ziqi Guo, Chunjie Wang, Yan College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun China The First Hospital of Jilin University Department of Radiology Changchun China
Segmenting brain white matter hyperintensities (WMH) from 3D Magnetic Resonance (MR) images is crucial for the diagnosis, treatment, and prognosis of Multiple Sclerosis (MS). Unlike common 2D images, this task is more... 详细信息
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