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检索条件"机构=State Key Laboratory Software Engineering and School Computer and Complex Network Research Center"
553 条 记 录,以下是81-90 订阅
排序:
Symmetric Pruning in Quantum Neural networks  11
Symmetric Pruning in Quantum Neural Networks
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11th International Conference on Learning Representations, ICLR 2023
作者: Wang, Xinbiao Liu, Junyu Liu, Tongliang Luo, Yong Du, Yuxuan Tao, Dacheng Institute of Artificial Intelligence School of Computer Science Wuhan University China Pritzker School of Molecular Engineering The University of Chicago United States JD Explore Academy Chicago Quantum Exchange United States Kadanoff Center for Theoretical Physics United States qBraid Co. Sydney AI Centre The University of Sydney Australia National Engineering Research Center for Multimedia Software School of Computer Science Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China Hubei Luojia Laboratory Wuhan China
Many fundamental properties of a quantum system are captured by its Hamiltonian and ground state. Despite the significance, ground states preparation (GSP) is classically intractable for most large-scale Hamiltonians.... 详细信息
来源: 评论
Robust Imagined Speech Production Using AI-Generated Content network for Patients with Language Impairments
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IEEE Transactions on Consumer Electronics 2024年
作者: Xu, Xu Fu, Chong Dalian University of Technology School of Software Dalian116621 China Northeastern University School of Computer Science and Engineering Shenyang110004 China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China Ministry of Education Engineering Research Center of Security Technology of Complex Network System Shenyang110004 China
Imagined speech production is critical for brain-computer interface systems. It is able to provide the communication ability for patients with language impairments. Nowadays, many studies have developed algorithms for... 详细信息
来源: 评论
Galliot: Path Merging Based Betweenness Centrality Algorithm on GPU  42
Galliot: Path Merging Based Betweenness Centrality Algorithm...
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42nd IEEE International Conference on computer Communications, INFOCOM 2023
作者: Zheng, Zhigao Zhao, Chen Xie, Peichen Dum, Bo School of Computer Science Wuhan University Wuhan 430072 China National Engineering Research Center for Multimedia Software Wuhan University Wuhan 430072 Chin. Institute of Artificial Intelligence Wuhan University Wuhan 430072 Chin. Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan 430072 China Hubei Luojia Laboratory Wuhan 430072 China
Betweenness centrality (BC) is widely used to measure a vertex's significance by using the frequency of a vertex appearing in the shortest path between other vertices. However, most recent algorithms in BC computa... 详细信息
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Semantic-Aware Pseudo-Labeling for Unsupervised Meta-Learning
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年 第7期PP卷 PP页
作者: Ouyang, Tianran Dong, Xingping Ye, Mang Du, Bo Shao, Ling Shen, Jianbing Wuhan University School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan430072 China University of Chinese Academy of Sciences UCAS-Terminus AI Lab Beijing China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science China
In unsupervised meta-learning, the clustering-based pseudo-labeling approach is an attractive framework, since it is model-agnostic, allowing it to synergize with supervised algorithms to learn from unlabeled data. Ho... 详细信息
来源: 评论
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
arXiv
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arXiv 2024年
作者: Zhong, Qihuang Wang, Kang Xu, Ziyang Liu, Juhua Ding, Liang Du, Bo School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan430072 China School of Computer Science University of Sydney Sydney2006 Australia
Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, as it usually su... 详细信息
来源: 评论
Boosting Semi-Supervised Object Detection in Remote Sensing Images with Active Teaching
arXiv
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arXiv 2024年
作者: Zhang, Boxuan Wang, Zengmao Du, Bo The School of Computer Science Wuhan University Wuhan430072 China The National Engineering Research Center for Multimedia Software School of Computer Science Institute of Artificial Intelligence The Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan430072 China
The lack of object-level annotations poses a significant challenge for object detection in remote sensing images. To address this issue, active learning and semi-supervised learning techniques have been proposed to en... 详细信息
来源: 评论
Improving Acoustic Echo Cancellation by Mixing Speech Local and Global Features with Transformer
Improving Acoustic Echo Cancellation by Mixing Speech Local ...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yajie Liu Xinmeng Xu Weiping Tu Yuhong Yang Li Xiao School of Computer Science National Engineering Research Center for Multimedia Software Wuhan University China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China
We propose MiT-Net, a novel mix-transformer neural network with a pyramid encoder operating in the time domain, for the task of acoustic echo cancellation. The MiT-Net formulates acoustic echo cancellation as a superv... 详细信息
来源: 评论
Bi-Causal: Group Activity Recognition via Bidirectional Causality
Bi-Causal: Group Activity Recognition via Bidirectional Caus...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Youliang Zhang Wenxuan Liu Danni Xu Zhuo Zhou Zheng Wang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University of Technology National University of Singapore
Current approaches in Group Activity Recognition (GAR) predominantly emphasize Human Relations (HRs) while often neglecting the impact of Human-Object Inter-actions (HOIs). This study prioritizes the consideration of ... 详细信息
来源: 评论
Multi-speaker Direction of Arrival Estimation Using Audio and Visual Modalities with Convolutional Neural network
Multi-speaker Direction of Arrival Estimation Using Audio an...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Yulin Wu Ruimin Hu Xiaochen Wang National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China
In reality, audible and visible sound sources are closely aligned, and they can help humans locate sources exactly. To exploit the complementarity between audio and visual data in multi-speaker direction of arrival (D...
来源: 评论
HAPG-SAQAM: Human Auditory Perception Guided Spatial Audio Quality Assessment Metric
HAPG-SAQAM: Human Auditory Perception Guided Spatial Audio Q...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yuanming Zheng Jiaxuan Yao Xiangyu Deng Yuhong Yang Ruiqi Liao Weiping Tu Cedar Lin National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan China Guangdong OPPO Mobile Telecommunications Corp. China
Spatial audio quality evaluation is essential for applications like virtual and augmented reality, where accurate sound reproduction enhances user immersion. While subjective listening tests are the gold standard, the... 详细信息
来源: 评论