Zobrazeno 1 - 10
of 19 437
pro vyhledávání: '"Liyong"'
Autor:
lo Liyong, Taban
Publikováno v:
Transition, 1966 Jan 01(24), 12-19.
Externí odkaz:
https://www.jstor.org/stable/2934504
The takeaway recommendation system is designed to recommend users' future takeaway purchases based on their historical purchase behaviors, thereby improving user satisfaction and increasing merchant sales. Existing methods focus on incorporating auxi
Externí odkaz:
http://arxiv.org/abs/2412.16502
Autor:
Yang, Yifan, Zhuo, Jianheng, Jin, Zengrui, Ma, Ziyang, Yang, Xiaoyu, Yao, Zengwei, Guo, Liyong, Kang, Wei, Kuang, Fangjun, Lin, Long, Povey, Daniel, Chen, Xie
Self-supervised learning (SSL) has achieved great success in speech-related tasks, driven by advancements in speech encoder architectures and the expansion of datasets. While Transformer and Conformer architectures have dominated SSL backbones, encod
Externí odkaz:
http://arxiv.org/abs/2411.17100
Publikováno v:
Water Supply, Vol 23, Iss 10, Pp 4357-4357 (2023)
Externí odkaz:
https://doaj.org/article/92d4798ede934d988f43587c76cf067e
Autor:
Yao, Zengwei, Kang, Wei, Yang, Xiaoyu, Kuang, Fangjun, Guo, Liyong, Zhu, Han, Jin, Zengrui, Li, Zhaoqing, Lin, Long, Povey, Daniel
Connectionist Temporal Classification (CTC) is a widely used method for automatic speech recognition (ASR), renowned for its simplicity and computational efficiency. However, it often falls short in recognition performance. In this work, we propose t
Externí odkaz:
http://arxiv.org/abs/2410.05101
Autor:
Jin, Zengrui, Yang, Yifan, Shi, Mohan, Kang, Wei, Yang, Xiaoyu, Yao, Zengwei, Kuang, Fangjun, Guo, Liyong, Meng, Lingwei, Lin, Long, Xu, Yong, Zhang, Shi-Xiong, Povey, Daniel
The evolving speech processing landscape is increasingly focused on complex scenarios like meetings or cocktail parties with multiple simultaneous speakers and far-field conditions. Existing methodologies for addressing these challenges fall into two
Externí odkaz:
http://arxiv.org/abs/2409.00819
Recently, LSS-based multi-view 3D object detection provides an economical and deployment-friendly solution for autonomous driving. However, all the existing LSS-based methods transform multi-view image features into a Cartesian Bird's-Eye-View(BEV) r
Externí odkaz:
http://arxiv.org/abs/2408.16200
Mathematical optimization is ubiquitous in modern applications. However, in practice, we often need to use nonlinear optimization models, for which the existing optimization tools such as Cplex or Gurobi may not be directly applicable and an (error-p
Externí odkaz:
http://arxiv.org/abs/2408.13487