no code implementations • IWSLT (EMNLP) 2018 • Yuguang Wang, Liangliang Shi, Linyu Wei, Weifeng Zhu, Jinkun Chen, Zhichao Wang, Shixue Wen, Wei Chen, Yanfeng Wang, Jia Jia
Our final average result on speech translation is 31. 02 BLEU.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 10 Dec 2023 • Junyi Yang, Weifeng Zhu, Shu Sun, Xiaofeng Li, Xingqin Lin, Meixia Tao
This letter considers the transceiver design in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems for high-quality data transmission.
no code implementations • 23 Aug 2023 • Junyi Yang, Weifeng Zhu, Meixia Tao, Shu Sun
Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to overcome the severe propagation loss.
no code implementations • 19 Apr 2023 • Weifeng Zhu, Meixia Tao, Xiaojun Yuan, Fan Xu, Yunfeng Guan
This paper investigates the problem of activity detection and channel estimation in cooperative multi-cell massive access systems with temporally correlated activity, where all access points (APs) are connected to a central unit via fronthaul links.
no code implementations • 8 Sep 2022 • Junyi Yang, Weifeng Zhu, Meixia Tao
In this work, we propose a novel deep learning based hierarchical beam alignment method that learns two tiers of probing codebooks (PCs) and uses their measurements to predict the optimal beam in a coarse-to-fine searching manner.
no code implementations • 16 May 2022 • Weifeng Zhu, Meixia Tao, Yunfeng Guan
This letter considers temporal-correlated massive access, where each device, once activated, is likely to transmit continuously over several consecutive frames.
1 code implementation • 29 Nov 2020 • Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo
The experiments on three popular datasets show that the average attack success rate of the proposed attack on any victim node in the graph reaches 83% when using only 3 attack nodes and 6 fake nodes.