Zobrazeno 1 - 10
of 6 192
pro vyhledávání: '"Wang, Liming"'
Contextual bandits serve as a fundamental algorithmic framework for optimizing recommendation decisions online. Though extensive attention has been paid to tailoring contextual bandits for recommendation applications, the "herding effects" in user fe
Externí odkaz:
http://arxiv.org/abs/2408.14432
Autor:
Wang, Liming, Gong, Yuan, Dawalatabad, Nauman, Vilela, Marco, Placek, Katerina, Tracey, Brian, Gong, Yishu, Premasiri, Alan, Vieira, Fernando, Glass, James
Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), a neural network-based automatic predic
Externí odkaz:
http://arxiv.org/abs/2406.18625
Autor:
Ershov, Egor, Panshin, Artyom, Karasev, Oleg, Korchagin, Sergey, Lev, Shepelev, Startsev, Alexandr, Vladimirov, Daniil, Zaychenkova, Ekaterina, Banić, Nikola, Iarchuk, Dmitrii, Efimova, Maria, Timofte, Radu, Terekhin, Arseniy, Yue, Shuwei, Liu, Yuyang, Wei, Minchen, Xu, Lu, Zhang, Chao, Wang, Yasi, Kınlı, Furkan, Yılmaz, Doğa, Özcan, Barış, Kıraç, Furkan, Liu, Shuai, Xiao, Jingyuan, Feng, Chaoyu, Wang, Hao, Shao, Guangqi, Zhang, Yuqian, Huang, Yibin, Luo, Wei, Wang, Liming, Wang, Xiaotao, Lei, Lei, Zini, Simone, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Guo, Jin, Liu, Tianli, Wu, Mohao, Shao, Ben, Yang, Qirui, Li, Xianghui, Cheng, Qihua, Zhang, Fangpu, Xu, Zhiqiang, Yang, Jingyu, Yue, Huanjing
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images i
Externí odkaz:
http://arxiv.org/abs/2406.13007
Autor:
Ni, Junrui, Wang, Liming, Zhang, Yang, Qian, Kaizhi, Gao, Heting, Hasegawa-Johnson, Mark, Yoo, Chang D.
Recent advancements in supervised automatic speech recognition (ASR) have achieved remarkable performance, largely due to the growing availability of large transcribed speech corpora. However, most languages lack sufficient paired speech and text dat
Externí odkaz:
http://arxiv.org/abs/2406.08380
Our study focused on the Ge thickness and TDD impacts on Ge's photoluminescence (PL). The PL peak intensity of a bulk Ge sample (TDD = 6000 cm-2, n-doping = 1e16 cm-3) experiences a remarkable 32-fold increase as the thickness is reduced from 535 to
Externí odkaz:
http://arxiv.org/abs/2404.05663
We explore the potential manifestation of a hexaquark, the H particle, as a constituent within neutron stars. The H particle, characterized by a quark composition of $uuddss$, is constructed using the framework of Chromomagnetic Interaction (CMI). Sp
Externí odkaz:
http://arxiv.org/abs/2402.14288
Training unsupervised speech recognition systems presents challenges due to GAN-associated instability, misalignment between speech and text, and significant memory demands. To tackle these challenges, we introduce a novel ASR system, ESPUM. This sys
Externí odkaz:
http://arxiv.org/abs/2310.02382
Autor:
Tian, Long, Feng, Jingyi, Chen, Wenchao, Chai, Xiaoqiang, Wang, Liming, Liu, Xiyang, Chen, Bo
Transductive Few-Shot Learning (TFSL) has recently attracted increasing attention since it typically outperforms its inductive peer by leveraging statistics of query samples. However, previous TFSL methods usually encode uniform prior that all the cl
Externí odkaz:
http://arxiv.org/abs/2308.03047
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 4, Pp 83-94 (2024)
[Objective] To analyze the scale-dependent relationships between daily sediment yield and key environmental factors and to explore effective prediction method to cope with the prediction challenges caused by the complexity of sediment transport mecha
Externí odkaz:
https://doaj.org/article/84c663128df7477d8ad4065cdd323e37