Suchergebnisse: Verfasser :: Library Catalog

1

Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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2

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach Autoría: Zhang, Hao, Lin, Qingfeng, Li, Yang, Cheng, Lei, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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3

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems Autoría: Ren, Zeyi, Lin, Qingfeng, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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4

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network Autoría: Jin, Yichen, Li, Zongze, Ren, Zeyi, Lin, Qingfeng, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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5

Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks Autoría: Xu, Bokai, Zhang, Jiayi, Lin, Qingfeng, Xiao, Huahua, Wu, Yik-Chung, Ai, Bo

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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6

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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7

Unveiling the Power of Complex-Valued Transformers in Wireless Communications Autoría: Leng, Yang, Lin, Qingfeng, Yung, Long-Yin, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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8

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO Autoría: Lei, Jingreng, Li, Yang, Wang, Ziyue, Lin, Qingfeng, Liu, Ya-Feng, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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9

A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Zhu, Hancheng, Cheng, Bingyang, Wu, Yik-Chung, Zhang, Rui

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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10

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lin, Qingfeng, Ren, Zeyi, Tang, Ming, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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11

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Ye, Rongguang, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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12

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications Autoría: Lei, Jingreng, Li, Yang, Ren, Zeyi, Lin, Qingfeng, Wang, Ziyue, Liu, Ya-Feng, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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13

Deep Unfolding with Kernel-based Quantization in MIMO Detection Autoría: Ren, Zeyi, Lei, Jingreng, Jin, Yichen, Hua, Ermo, Lin, Qingfeng, Zhang, Chen, Zhou, Bowen, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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14

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Lei, Jingreng, Wang, Shuai, Ye, Rongguang, Zhu, Guangxu, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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15

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lei, Jingreng, Wang, Shuai, Lin, Qingfeng, Tang, Ming, Wu, Yik-Chung

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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16

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Xu, Sheng, Ye, Rongguang, Leng, Yang, Wang, Shuai, Li, Guofa, Chen, Zhenyu, Zhu, Guangxu, Wu, Yik-Chung

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Wu, Yik-Chung

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach Autoría: Zhang, Hao, Lin, Qingfeng, Li, Yang, Cheng, Lei, Wu, Yik-Chung

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems Autoría: Ren, Zeyi, Lin, Qingfeng, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network Autoría: Jin, Yichen, Li, Zongze, Ren, Zeyi, Lin, Qingfeng, Wu, Yik-Chung

Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks Autoría: Xu, Bokai, Zhang, Jiayi, Lin, Qingfeng, Xiao, Huahua, Wu, Yik-Chung, Ai, Bo

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Unveiling the Power of Complex-Valued Transformers in Wireless Communications Autoría: Leng, Yang, Lin, Qingfeng, Yung, Long-Yin, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO Autoría: Lei, Jingreng, Li, Yang, Wang, Ziyue, Lin, Qingfeng, Liu, Ya-Feng, Wu, Yik-Chung

A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Zhu, Hancheng, Cheng, Bingyang, Wu, Yik-Chung, Zhang, Rui

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lin, Qingfeng, Ren, Zeyi, Tang, Ming, Wu, Yik-Chung

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Ye, Rongguang, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications Autoría: Lei, Jingreng, Li, Yang, Ren, Zeyi, Lin, Qingfeng, Wang, Ziyue, Liu, Ya-Feng, Wu, Yik-Chung

Deep Unfolding with Kernel-based Quantization in MIMO Detection Autoría: Ren, Zeyi, Lei, Jingreng, Jin, Yichen, Hua, Ermo, Lin, Qingfeng, Zhang, Chen, Zhou, Bowen, Wu, Yik-Chung

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Lei, Jingreng, Wang, Shuai, Ye, Rongguang, Zhu, Guangxu, Wu, Yik-Chung

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lei, Jingreng, Wang, Shuai, Lin, Qingfeng, Tang, Ming, Wu, Yik-Chung

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Xu, Sheng, Ye, Rongguang, Leng, Yang, Wang, Shuai, Li, Guofa, Chen, Zhenyu, Zhu, Guangxu, Wu, Yik-Chung

Suchergebnisse - Lin, Qingfeng

Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Wu, Yik-Chung

Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach Autoría: Zhang, Hao, Lin, Qingfeng, Li, Yang, Cheng, Lei, Wu, Yik-Chung

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems Autoría: Ren, Zeyi, Lin, Qingfeng, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network Autoría: Jin, Yichen, Li, Zongze, Ren, Zeyi, Lin, Qingfeng, Wu, Yik-Chung

Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks Autoría: Xu, Bokai, Zhang, Jiayi, Lin, Qingfeng, Xiao, Huahua, Wu, Yik-Chung, Ai, Bo

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Unveiling the Power of Complex-Valued Transformers in Wireless Communications Autoría: Leng, Yang, Lin, Qingfeng, Yung, Long-Yin, Lei, Jingreng, Li, Yang, Wu, Yik-Chung

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO Autoría: Lei, Jingreng, Li, Yang, Wang, Ziyue, Lin, Qingfeng, Liu, Ya-Feng, Wu, Yik-Chung

A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems Autoría: Jin, Yichen, Lin, Qingfeng, Li, Yang, Zhu, Hancheng, Cheng, Bingyang, Wu, Yik-Chung, Zhang, Rui

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lin, Qingfeng, Ren, Zeyi, Tang, Ming, Wu, Yik-Chung

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Ye, Rongguang, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications Autoría: Lei, Jingreng, Li, Yang, Ren, Zeyi, Lin, Qingfeng, Wang, Ziyue, Liu, Ya-Feng, Wu, Yik-Chung

Deep Unfolding with Kernel-based Quantization in MIMO Detection Autoría: Ren, Zeyi, Lei, Jingreng, Jin, Yichen, Hua, Ermo, Lin, Qingfeng, Zhang, Chen, Zhou, Bowen, Wu, Yik-Chung

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Lei, Jingreng, Wang, Shuai, Ye, Rongguang, Zhu, Guangxu, Wu, Yik-Chung

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization Autoría: Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lei, Jingreng, Wang, Shuai, Lin, Qingfeng, Tang, Ming, Wu, Yik-Chung

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Autoría: Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Xu, Sheng, Ye, Rongguang, Leng, Yang, Wang, Shuai, Li, Guofa, Chen, Zhenyu, Zhu, Guangxu, Wu, Yik-Chung

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