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检索条件"机构=Hubci Key Laboratory of Multimedia and Network Communication Engineering"
277 条 记 录,以下是11-20 订阅
排序:
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems  38
The Reliability of OKRidge Method in Solving Sparse Ridge Re...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Li, Xiyuan Wang, Youjun Liu, Weiwei School of Computer Science Wuhan University National Engineering Research Center for Multimedia Software Wuhan University Institute of Artificial Intelligence Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University
Sparse ridge regression problems play a significant role across various domains. To solve sparse ridge regression, [1] recently proposes an advanced algorithm, Scalable Optimal K-Sparse Ridge Regression (OKRidge), whi...
来源: 评论
A Boosting-Type Convergence Result for *** with Factorized Multi-Class Classifiers  38
A Boosting-Type Convergence Result for *** with Factorized M...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Zou, Xin Zhou, Zhengyu Xu, Jingyuan Liu, Weiwei School of Computer Science Wuhan University National Engineering Research Center for Multimedia Software Wuhan University Institute of Artificial Intelligence Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University
ADABOOST is a well-known algorithm in boosting. Schapire and Singer propose, an extension of ADABOOST, named ***, for multi-class classification problems. Kégl shows empirically that *** works better when the cla...
来源: 评论
Improving Acoustic Echo Cancellation by Mixing Speech Local and Global Features with Transformer  48
Improving Acoustic Echo Cancellation by Mixing Speech Local ...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Liu, Yajie Xu, Xinmeng Tu, Weiping Yang, Yuhong Xiao, Li Wuhan University National Engineering Research Center for Multimedia Software School of Computer Science China Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering 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
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
Learning from Imperfect Data: Towards Efficient Knowledge Di...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Zhong, Qihuang Chen, Kunfeng Ding, Liang Liu, Juhua Du, Bo Tao, Dacheng 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 China The University of Sydney Australia Nanyang Technological University Singapore
Large Language Models (LLMs) have shown promising performance in text-to-SQL, which involves translating natural language questions into SQL queries. However, current text-to-SQL LLMs are computationally expensive and... 详细信息
来源: 评论
Optimal Illumination Distance Metrics for Person Re-identification  21st
Optimal Illumination Distance Metrics for Person Re-identif...
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21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024
作者: Wang, Chao Wang, Zhongyuan Hu, Ruimin Wang, Xiaochen Zhou, Wen 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 University Wuhan China College of Information Engineering Nanjing University of Finance Economics Nanjing China
Person re-identification (Re-ID) has been widely used in public security and surveillance. Due to the influence of different shooting times and locations, can lead to lighting variations in the images captured by the ... 详细信息
来源: 评论
Cycle Self-Refinement for Multi-Source Domain Adaptation  38
Cycle Self-Refinement for Multi-Source Domain Adaptation
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38th AAAI Conference on Artificial Intelligence, AAAI 2024
作者: Zhou, Chaoyang Wang, Zengmao Du, Bo Luo, Yong School of Computer Science Wuhan University China National Engineering Research Center for Multimedia Software Wuhan University China Institute of Artificial Intelligence Wuhan University China Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China Hubei Luojia Laboratory China
Multi-source domain adaptation (MSDA) aims to transfer knowledge from multiple source domains to the unlabeled target domain. In this paper, we propose a cycle self-refinement domain adaptation method, which progressi... 详细信息
来源: 评论
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game  38
Error Analysis of Spherically Constrained Least Squares Refo...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Li, Xiyuan Liu, Weiwei School of Computer Science Wuhan University China National Engineering Research Center for Multimedia Software Wuhan University China Institute of Artificial Intelligence Wuhan University China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China
The Stackelberg prediction game (SPG) is a popular model for characterizing strategic interactions between a learner and an adversarial data provider. Although optimization problems in SPGs are often NP-hard, a notabl...
来源: 评论
Predictive Generation for Digital Twin Channel:Long-Batch Time-Frequency Construction
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China communications 2025年 第4期22卷 161-173页
作者: Che Chang Hu Jie Kang Honghui Rui Hua Lyu Xingzai Wang Bo School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE CorporationShenzhen 518055China
Wireless communication systems that incorporate digital twin(DT)alongside artificial intelligence(AI)are expected to transform 6G networks by providing advanced features for predictive modeling and decision *** key co... 详细信息
来源: 评论
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning  38
Parameter Disparities Dissection for Backdoor Defense in Het...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Huang, Wenke Ye, Mang Shi, Zekun Wan, Guancheng Li, He Du, Bo National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China Taikang Center for Life and Medical Sciences Wuhan University Wuhan China
Backdoor attacks pose a serious threat to federated systems, where malicious clients optimize on the triggered distribution to mislead the global model towards a predefined target. Existing backdoor defense methods ty...
来源: 评论
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference  38
FedSSP: Federated Graph Learning with Spectral Knowledge and...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Tan, Zihan Wan, Guancheng Huang, Wenke Ye, Mang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China Taikang Center for Life and Medical Sciences Wuhan University Wuhan China
Personalized Federated Graph Learning (pFGL) facilitates the decentralized training of Graph Neural networks (GNNs) without compromising privacy while accommodating personalized requirements for non-IID participants. ...
来源: 评论