Zobrazeno 1 - 10
of 1 220
pro vyhledávání: '"Wang, YongXin"'
Autor:
Wang, Yongxin, Cao, Meng, Lin, Haokun, Han, Mingfei, Ma, Liang, Jiang, Jin, Cheng, Yuhao, Liang, Xiaodan
Multimodal large language models (MLLMs) have achieved remarkable progress on various visual question answering and reasoning tasks leveraging instruction fine-tuning specific datasets. They can also learn from preference data annotated by human to e
Externí odkaz:
http://arxiv.org/abs/2412.04903
X-Ray microtomography of mercury intruded compacted clay: An insight into the geometry of macropores
Autor:
Yuan, Shengyang, Liu, Xianfeng, Wang, Yongxin, Delage, Pierre, Aimedieu, Patrick, Buzzi, Olivier
Publikováno v:
Applied Clay Science, 2022, 227, pp.106573
Soil properties, such as wetting collapse behavior and permeability, are strongly correlated to the soil microstructure. To date, several techniques including mercury intrusion porosimetry (MIP), can be used to characterize the microstructure of soil
Externí odkaz:
http://arxiv.org/abs/2407.21083
Autor:
Yun, Sukmin, Lin, Haokun, Thushara, Rusiru, Bhat, Mohammad Qazim, Wang, Yongxin, Jiang, Zutao, Deng, Mingkai, Wang, Jinhong, Tao, Tianhua, Li, Junbo, Li, Haonan, Nakov, Preslav, Baldwin, Timothy, Liu, Zhengzhong, Xing, Eric P., Liang, Xiaodan, Shen, Zhiqiang
Multimodal large language models (MLLMs) have shown impressive success across modalities such as image, video, and audio in a variety of understanding and generation tasks. However, current MLLMs are surprisingly poor at understanding webpage screens
Externí odkaz:
http://arxiv.org/abs/2406.20098
Autor:
Wu, Yuxue1 (AUTHOR) wyx0214@mail.nwpu.edu.cn, Wang, Yongxin1 (AUTHOR) yxwangcl@163.com, Lu, Yunmei1 (AUTHOR), Zhao, Chenxi1 (AUTHOR)
Publikováno v:
Materials (1996-1944). Dec2024, Vol. 17 Issue 24, p6112. 15p.
Autor:
Wang, Yongxin1 (AUTHOR) 2320600016@stu.hrbust.edu.cn, Jiang, He1 (AUTHOR) 2220600076@stu.hrbust.edu.cn, Sun, Yutong2 (AUTHOR) 2303010617@stu.hrbust.edu.cn, Xu, Longqi1 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6921. 19p.
Recently, deep cross-modal hashing has gained increasing attention. However, in many practical cases, data are distributed and cannot be collected due to privacy concerns, which greatly reduces the cross-modal hashing performance on each client. And
Externí odkaz:
http://arxiv.org/abs/2210.15678
Publikováno v:
In Journal of Colloid And Interface Science 15 January 2025 678 Part B:95-104
Publikováno v:
In Journal of Materials Research and Technology January-February 2025 34:1732-1743
Autor:
Jiang, Chuan, Liu, Zhijian, Wang, Yongxin, Yao, Guangpeng, He, Junzhou, Li, Shiyue, Rong, Rui, Liang, Zhenyu, Chu, Jiaqi, Liu, Jingwei
Publikováno v:
In Sustainable Cities and Society January 2025 118
Publikováno v:
In Applied Materials Today December 2024 41