Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Chen, Haiqing"'
Existing fine-grained intensity regulation methods rely on explicit control through predicted emotion probabilities. However, these high-level semantic probabilities are often inaccurate and unsmooth at the phoneme level, leading to bias in learning.
Externí odkaz:
http://arxiv.org/abs/2307.00020
Existing neural methods have shown great potentials towards generating informative text from structured tabular data as well as maintaining high content fidelity. However, few of them shed light on generating personalized expressions, which often req
Externí odkaz:
http://arxiv.org/abs/2304.08911
Autor:
SHAO Yun, WANG Pengfei, AN Jiahui, MENG Ye, CHEN Haiqing, LIU Xuchen, LIU Zhandong, GAO Yang, MA Shoutian
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 6, Pp 1-9 (2024)
【Objective】 Winter wheat in Northern China is often rotated with other crops which are expected to have a legacy effect. This paper aims to study the effect of different tillage and preceding crops on soil nutrients, yield and water use efficienc
Externí odkaz:
https://doaj.org/article/4542ebbf21134f06a61f843bff8d4a46
A well-designed interactive human-like dialogue system is expected to take actions (e.g. smiling) and respond in a pattern similar to humans. However, due to the limitation of single-modality (only speech) or small volume of currently public datasets
Externí odkaz:
http://arxiv.org/abs/2212.05489
Autor:
ZHANG Zhao, HUANG Chao, FAN Yi, GUO Xiang, GU Songhua, CHE Hongbing, CHEN Haiqing, LIU Xuchen, LIU Zhandong
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 4, Pp 22-27 (2024)
【Objective】 Xinjiang in northwestern China is scarce in freshwater and commonly uses drip irrigation in its agricultural production. In this paper we study the effect of irrigation amount on growth, yield and water use efficiency (WUE) of spring
Externí odkaz:
https://doaj.org/article/d6f4eda8c6414b0b94195cb993ca7fcf
Autor:
Lu, Chengqiang, Zhang, Jianwei, Chu, Yunfei, Chen, Zhengyu, Zhou, Jingren, Wu, Fei, Chen, Haiqing, Yang, Hongxia
In the past few years, transformer-based pre-trained language models have achieved astounding success in both industry and academia. However, the large model size and high run-time latency are serious impediments to applying them in practice, especia
Externí odkaz:
http://arxiv.org/abs/2206.14366
Autor:
Chen, Haiqing, Liu, Xiaogang, Xiao, Qiuyun, Wu, Lang, Cheng, Minghui, Wang, Haidong, Wang, Xinle, Hu, Dongsheng, Sun, Zhiqing, Ma, Xiaodong
Publikováno v:
In Scientia Horticulturae 1 October 2024 336
Autor:
Lin, Xiao-Fan, Luo, Guoyu, Luo, Shucheng, Liu, Jiachun, Chan, Kan Kan, Chen, Haiqing, Zhou, Wei, Li, Zhengfu
Publikováno v:
In Teaching and Teacher Education October 2024 148
Autor:
Ning, Dongfeng, Chen, Haiqing, Qin, Anzhen, Gao, Yang, Zhang, Jiyang, Duan, Aiwang, Wang, Xingpeng, Liu, Zhandong
Publikováno v:
In Agricultural Water Management 1 August 2024 301
Autor:
Chen, Wenhui, Zheng, Hongxiang, Liao, Qiulan, Zeng, Shiqi, Bai, Rui, Shi, Jun, Jiang, Yunxia, Wang, Ting, Jia, Hongyang, Liang, Wei, Du, Wei, Chen, Haiqing
Publikováno v:
In Phytomedicine 25 July 2024 130