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检索条件"机构=Key Laboratory of Intelligent Information Processing and Control"
12826 条 记 录,以下是71-80 订阅
排序:
Knowledge Graph-Enhanced Recommendation with Box Embeddings  23rd
Knowledge Graph-Enhanced Recommendation with Box Embeddings
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23rd China National Conference on Computational Linguistics, CCL 2024
作者: Liang, Qiuyu Wang, Weihua Lv, Lei Bao, Feilong College of Computer Science Inner Mongolia University Hohhot China National and Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Hohhot China Inner Mongolia Key Laboratory of Mongolian Information Processing Technology Hohhot China
Knowledge graphs are used to alleviate the problems of data sparsity and cold starts in recommendation systems. However, most existing approaches ignore the hierarchical structure of the knowledge graph. In this paper... 详细信息
来源: 评论
Multiple Weather Images Restoration Using the Task Transformer and Adaptive Mixup Strategy  41st
Multiple Weather Images Restoration Using the Task Transfor...
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41st Computer Graphics International Conference, CGI 2024
作者: Wen, Yang Lai, Anyu Qian, Bo Wang, Hao Shi, Wuzhen Cao, Wenming Guangdong Provincial Key Laboratory of Intelligent Information Processing School of Electronic and Information Engineering Shenzhen University Shenzhen China The Department of Comupter Science and Engineering Shanghai Jiao Tong University Shanghai China
The current state-of-the-art in severe weather removal predominantly focuses on single-task applications, such as rain removal, haze removal, and snow removal. However, real-world weather conditions often consist of a... 详细信息
来源: 评论
Stochastic Trajectory Optimization for Robotic Skill Acquisition From a Suboptimal Demonstration
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IEEE Robotics and Automation Letters 2025年 第6期10卷 6127-6134页
作者: Ming, Chenlin Wang, Zitong Zhang, Boxuan Cao, Zhanxiang Duan, Xiaoming He, Jianping Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai China School of Computation Information and Technology Germany Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai China Shanghai Jiao Tong University State Key Laboratory of Submarine Geoscience the Department of Automation Shanghai200240 China
Learning from Demonstration (LfD) has emerged as a crucial method for robots to acquire new skills. However, when given suboptimal task trajectory demonstrations with shape characteristics reflecting human preferences... 详细信息
来源: 评论
Adaptive Local Neighborhood Window Laplacian Eigenmaps  24
Adaptive Local Neighborhood Window Laplacian Eigenmaps
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13th International Conference on Computing and Pattern Recognition, ICCPR 2024
作者: Xu, Jiayi Huang, Qirui Zhao, Yang Pei, Jihong Yang, Xuan College of Electronics and Information Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong China College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China
Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true ... 详细信息
来源: 评论
Mamba-Based VoxelMorph Framework for Cardiovascular Disease Imaging and Risk Assessment
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IEEE Access 2025年 13卷 78120-78137页
作者: Jabbar, Muhammad Kashif Jianjun, Huang Jabbar, Ayesha Ur Rehman, Zaka Guangdong Provincial Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Faculty of Engineering Multimedia University Persiaran Multimedia Cyberjava 63100 Malaysia
Cardiovascular diseases (CVDs), particularly coronary artery disease (CAD), remain the leading cause of global mortality, necessitating advanced diagnostic solutions. Accurate deformable image registration plays a cru... 详细信息
来源: 评论
Double-Mix-Net: A Multimodal Music Emotion Recognition Network with Multi-layer Feature Mixing  10th
Double-Mix-Net: A Multimodal Music Emotion Recognition Netwo...
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10th Conference on Sound and Music Technology, CSMT 2023
作者: Li, Peilin Chen, Kairan Wei, Weixin Zhao, Jiahao Li, Wei School of Computer Science and Technology Fudan University Shanghai Shanghai200438 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai Shanghai200433 China
Computational music emotion recognition (MER) is an important task that aims to recognize emotional content in music tracks. Understanding the emotional content of music can help tailor therapeutic interventions to sp... 详细信息
来源: 评论
controlled-source electromagnetic noise attenuation via a deep convolutional neural network and high-quality sounding curve screening mechanism
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Geophysics 2025年 第3期90卷 WA125-WA140页
作者: Liu, Yecheng Li, Diquan Li, Jin Zhang, Xian Central South University Monitoring Ministry of Education Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Changsha China Hunan Provincial Key Laboratory of Non-ferrous Resources and Geological Hazard Detection Changsha China Central South University School of Geoscience and Info-physics Changsha China Hunan Normal University College of Information Science and Engineering Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Changsha China Hunan University of Finance and Economics School of Information Technology and Management Hunan Provincial Key Laboratory of Finance & Economics Big Data Science and Technology Changsha China
Strong noise is one of the biggest challenges in controlled-source electromagnetic (CSEM) exploration, which severely affects the quality of the recorded signal. We develop a novel and effective CSEM noise attenuation... 详细信息
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ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios  31
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabili...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Ye, Junjie Li, Guanyu Gao, Songyang Huang, Caishuang Wu, Yilong Li, Sixian Fan, Xiaoran Dou, Shihan Ji, Tao Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Research Institute of Intelligent Complex Systems Fudan University China Shanghai Key Laboratory of Intelligent Information Processing China Pengcheng Laboratory China
Existing evaluations of tool learning primarily focus on validating the alignment of selected tools (e.g., various APIs) for large language models (LLMs) with expected outcomes. However, these approaches rely on a lim... 详细信息
来源: 评论
The Application of Generative Artificial Intelligence in the Teaching of Engineering Courses in Chinese Universities  24
The Application of Generative Artificial Intelligence in the...
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7th International Conference on Educational Technology Management, ICETM 2024
作者: Zhao, Dong Zhang, Dan Ma, Xiujuan School of Computer Qinghai Normal University Qinghai Xining China The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University Qinghai Xining China
Generative Artificial Intelligence (GenAI) is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, the use of GenAI in education raises ethical conc... 详细信息
来源: 评论
Enhancing defocus blur in three-dimensional scenes via high-speed optical axial scanning and deep learning  2
Enhancing defocus blur in three-dimensional scenes via high-...
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2nd International Academic Conference on Optics and Photonics, IACOP 2024
作者: Li, Zilong Tang, Chenxi Dong, Jiaqing Liu, Xuan Lin, Jiabin Liu, Qiegen Song, Xianlin School of Information Engineering Nanchang University Nanchang330031 China Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications Nanchang University Nanchang330031 China
Mitigating image defocus blur induced by the limited depth of field in imaging systems and reconstructing the three-dimensional depth of scenes represents a significant hurdle. In this paper, a method for enhancing de... 详细信息
来源: 评论