Zobrazeno 1 - 10
of 2 400
pro vyhledávání: '"Wei, Kun"'
Autor:
Zhang, Wei-Yang, Dong, Feng-Lian, Wei, Zhi-Wei, Wang, Yan-Ru, Xu, Ze-Jin, Chen, Wei-Kun, Dai, Yu-Hong
The distributed recursion (DR) algorithm is an effective method for solving the pooling problem that arises in many applications. It is based on the well-known P-formulation of the pooling problem, which involves the flow and quality variables; and i
Externí odkaz:
http://arxiv.org/abs/2411.09554
Recent advancements in integrating Large Language Models (LLM) with automatic speech recognition (ASR) have performed remarkably in general domains. While supervised fine-tuning (SFT) of all model parameters is often employed to adapt pre-trained LLM
Externí odkaz:
http://arxiv.org/abs/2409.19878
In this paper, we consider the network slicing (NS) problem which attempts to map multiple customized virtual network requests (also called services) to a common shared network infrastructure and manage network resources to meet diverse quality of se
Externí odkaz:
http://arxiv.org/abs/2409.13943
Autor:
Xue, Hongfei, Ren, Wei, Geng, Xuelong, Wei, Kun, Li, Longhao, Shao, Qijie, Yang, Linju, Diao, Kai, Xie, Lei
Integrating audio encoders with LLMs through connectors has enabled these models to process and comprehend audio modalities, significantly enhancing speech-to-text tasks, including automatic speech recognition (ASR) and automatic speech translation (
Externí odkaz:
http://arxiv.org/abs/2409.11214
This paper considers the generalized maximal covering location problem (GMCLP) which establishes a fixed number of facilities to maximize the weighted sum of the covered customers, allowing customers' weights to be positive or negative. The GMCLP can
Externí odkaz:
http://arxiv.org/abs/2409.09834
Autor:
Shi, Mohan, Jin, Zengrui, Xu, Yaoxun, Xu, Yong, Zhang, Shi-Xiong, Wei, Kun, Shao, Yiwen, Zhang, Chunlei, Yu, Dong
Recognizing overlapping speech from multiple speakers in conversational scenarios is one of the most challenging problem for automatic speech recognition (ASR). Serialized output training (SOT) is a classic method to address multi-talker ASR, with th
Externí odkaz:
http://arxiv.org/abs/2408.17431
As communication systems advance towards the future 6G era, the incorporation of large-scale antenna arrays in base stations (BSs) presents challenges such as increased hardware costs and energy consumption. To address these issues, the use of one-bi
Externí odkaz:
http://arxiv.org/abs/2407.11079
We consider the chance-constrained program (CCP) with random right-hand side under a finite discrete distribution. It is known that the standard mixed integer linear programming (MILP) reformulation of the CCP is generally difficult to solve by gener
Externí odkaz:
http://arxiv.org/abs/2406.10472
In the paper, we consider the competitive facility location problem with limited choice rule (CFLPLCR), which attempts to open a subset of facilities to maximize the net profit of a newcomer company, requiring customers to patronize only a limited nu
Externí odkaz:
http://arxiv.org/abs/2406.05775
Autor:
Mu, Bingshen, Li, Yangze, Shao, Qijie, Wei, Kun, Wan, Xucheng, Zheng, Naijun, Zhou, Huan, Xie, Lei
Despite notable advancements in automatic speech recognition (ASR), performance tends to degrade when faced with adverse conditions. Generative error correction (GER) leverages the exceptional text comprehension capabilities of large language models
Externí odkaz:
http://arxiv.org/abs/2405.03152