no code implementations • 2 Jan 2024 • Yunpeng Qu, Zhilin Lu, Rui Zeng, Jintao Wang, Jian Wang
Modulated signals exhibit long temporal dependencies, and extracting global features is crucial in identifying modulation schemes.
no code implementations • 3 Dec 2023 • Zhilin Lu, Rongpeng Li, Ming Lei, Chan Wang, Zhifeng Zhao, Honggang Zhang
In particular, to enable stable optimization via a nondifferentiable semantic metric, we regard sentence similarity as a reward and formulate this learning process as an RL problem.
2 code implementations • 1 Aug 2023 • Hengyu Zhang, Zhilin Lu, Xudong Zhang, Jintao Wang
In massive multiple-input multiple-output (MIMO) systems under the frequency division duplexing (FDD) mode, the user equipment (UE) needs to feed channel state information (CSI) back to the base station (BS).
1 code implementation • 15 Feb 2023 • Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang
Hybrid beamforming is widely recognized as an important technique for millimeter wave (mmWave) multiple input multiple output (MIMO) systems.
1 code implementation • 5 Feb 2023 • Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang
Channel state information (CSI) feedback is necessary for the frequency division duplexing (FDD) multiple input multiple output (MIMO) systems due to the channel non-reciprocity.
no code implementations • 16 Dec 2022 • Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e. g., theories, applications, metrics and implementations) in both academia and industry.
1 code implementation • 5 Nov 2022 • Xudong Zhang, Zhilin Lu, Rui Zeng, Jintao Wang
In this paper, we propose an adaptor-assisted quantization strategy for bit-level DL-based CSI feedback.
1 code implementation • 29 Oct 2022 • Zhilin Lu, Xudong Zhang, Rui Zeng, Jintao Wang
In this paper, a cost free distillation technique named codeword mimic (CM) is proposed to train better feedback networks with the practical lightweight encoder.
no code implementations • 19 Dec 2021 • Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
For example, we raise the top-1 accuracy of binarized ResNet26 from 57. 9% to 64. 0%.
1 code implementation • 16 Sep 2021 • Dengsheng Chen, Vince Tan, Zhilin Lu, Jie Hu
Federated Learning alleviates these problems by decentralizing model training, thereby removing the need for data transfer and aggregation.
1 code implementation • 1 May 2021 • Zhilin Lu, Xudong Zhang, Hongyi He, Jintao Wang, Jian Song
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better spectrum and energy efficiency in 5G system.
1 code implementation • CVPR 2021 • Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
Superpixel is generated by automatically clustering pixels in an image into hundreds of compact partitions, which is widely used to perceive the object contours for its excellent contour adherence.
no code implementations • 17 Jan 2021 • Zhilin Lu, Hongyi He, Zhengyang Duan, Jintao Wang, Jian Song
In frequency division duplexing (FDD) mode, it is necessary to send the channel state information (CSI) from user equipment to base station.
1 code implementation • 5 Nov 2020 • Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is essential for the base station to achieve high performance gain.
1 code implementation • 31 Oct 2019 • Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS).