On the road to 6G: Visions, requirements, key technologies, and testbeds

CX Wang, X You, X Gao, X Zhu, Z Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …

A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?

C Zhang, C Zhang, S Zheng, Y Qiao, C Li… - ar** single-cell data to reference atlases by transfer learning
M Lotfollahi, M Naghipourfar, MD Luecken… - Nature …, 2022 - nature.com
Large single-cell atlases are now routinely generated to serve as references for analysis of
smaller-scale studies. Yet learning from reference data is complicated by batch effects …

[HTML][HTML] Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends

W Khan, A Daud, K Khan, S Muhammad… - Natural Language …, 2023 - Elsevier
In the recent past, more than 5 years or so, Deep Learning (DL) especially the large
language models (LLMs) has generated extensive studies out of a distinctly average …

Semantic communication systems for speech transmission

Z Weng, Z Qin - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …

A unifying review of deep and shallow anomaly detection

L Ruff, JR Kauffmann, RA Vandermeulen… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …

A brief review of domain adaptation

A Farahani, S Voghoei, K Rasheed… - Advances in data science …, 2021 - Springer
Classical machine learning assumes that the training and test sets come from the same
distributions. Therefore, a model learned from the labeled training data is expected to …

Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition

B Zhang, H Lv, P Guo, Q Shao, C Yang… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of
10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about …