Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Zhang Rongsheng"'
Autor:
Song Tianqiao, Zhang Xiong, Zhang You, Liang Dong, Yan Jiaoling, Yu Junjie, Yu Mina, Cao Huijuan, Yong Mingli, Pan Xiayan, Qi Zhongqiang, Du Yan, Zhang Rongsheng, Liu Yongfeng
Publikováno v:
Rice Science, Vol 28, Iss 6, Pp 567-578 (2021)
Transcription factors (TFs) orchestrate the regulation of cellular gene expression and thereby determine cell functionality. In this study, we analyzed the distribution of TFs containing domains, which named as ZnFTFs, both in ascomycete and basidiom
Externí odkaz:
https://doaj.org/article/4a306ce542be4db7842e031c9eb41bed
This paper investigates deep learning enabled beamforming design for ultra-dense wireless networks by integrating prior knowledge and graph neural network (GNN), named model-based GNN. A energy efficiency (EE) maximization problem is formulated subje
Externí odkaz:
http://arxiv.org/abs/2410.02289
Autor:
Yu Junjie, Yu Mina, Song Tianqiao, Cao Huijuan, Yong Mingli, Pan Xiayan, Qi Zhongqiang, Du Yan, Zhang Rongsheng, Yin Xiaole, Liang Dong, Liu Yongfeng
Publikováno v:
Rice Science, Vol 28, Iss 5, Pp 457-465 (2021)
Rice false smut, which is caused by Ustilaginoidea virens, is an emerging disease of rice spikelets in rice-growing areas worldwide. However, the infection mechanism of U. virens on rice spikelets is still unclear. Here, we characterized a suppressor
Externí odkaz:
https://doaj.org/article/0306f5e7332140849b171e173f161ddc
Autor:
Ma, Yuhang, Xu, Wenting, Tang, Jiji, Jin, Qinfeng, Zhang, Rongsheng, Zhao, Zeng, Fan, Changjie, Hu, Zhipeng
Customized image generation, which seeks to synthesize images with consistent characters, holds significant relevance for applications such as storytelling, portrait generation, and character design. However, previous approaches have encountered chal
Externí odkaz:
http://arxiv.org/abs/2406.16537
Autor:
Chen, Jing, Zhu, Xinyu, Yang, Cheng, Shi, Chufan, Xi, Yadong, Zhang, Yuxiang, Wang, Junjie, Pu, Jiashu, Zhang, Rongsheng, Yang, Yujiu, Feng, Tian
Generative AI has demonstrated unprecedented creativity in the field of computer vision, yet such phenomena have not been observed in natural language processing. In particular, large language models (LLMs) can hardly produce written works at the lev
Externí odkaz:
http://arxiv.org/abs/2406.11683
Dynamic Vehicle Routing Problem (DVRP), is an extension of the classic Vehicle Routing Problem (VRP), which is a fundamental problem in logistics and transportation. Typically, DVRPs involve two stakeholders: service providers that deliver services t
Externí odkaz:
http://arxiv.org/abs/2405.19184
Autor:
Zang, Chuanqi, Tang, Jiji, Zhang, Rongsheng, Zhao, Zeng, Lv, Tangjie, Pei, Mingtao, Liang, Wei
Storytelling aims to generate reasonable and vivid narratives based on an ordered image stream. The fidelity to the image story theme and the divergence of story plots attract readers to keep reading. Previous works iteratively improved the alignment
Externí odkaz:
http://arxiv.org/abs/2403.07301
Autor:
Pu, Jiashu, Wan, Yajing, Zhang, Yuru, Chen, Jing, Cheng, Ling, Shao, Qian, Chang, Yongzhu, Lv, Tangjie, Zhang, Rongsheng
Previous in-context learning (ICL) research has focused on tasks such as classification, machine translation, text2table, etc., while studies on whether ICL can improve human-like dialogue generation are scarce. Our work fills this gap by systematica
Externí odkaz:
http://arxiv.org/abs/2402.09954
Autor:
Zou, Siyu, Tang, Jiji, Zhou, Yiyi, He, Jing, Zhao, Chaoyi, Zhang, Rongsheng, Hu, Zhipeng, Sun, Xiaoshuai
Diffusion-based Image Editing (DIE) is an emerging research hot-spot, which often applies a semantic mask to control the target area for diffusion-based editing. However, most existing solutions obtain these masks via manual operations or off-line pr
Externí odkaz:
http://arxiv.org/abs/2401.07709
Autor:
Pu, Jiashu, Zhao, Shiwei, Cheng, Ling, Chang, Yongzhu, Wu, Runze, Lv, Tangjie, Zhang, Rongsheng
Although the pre-training followed by fine-tuning paradigm is used extensively in many fields, there is still some controversy surrounding the impact of pre-training on the fine-tuning process. Currently, experimental findings based on text and image
Externí odkaz:
http://arxiv.org/abs/2309.05256