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Yu, Fuyang (author), Wang, Zhen (author), Li, Dongyuan (author), Zhu, P. (author), Liang, Xiaohui (author), Wang, Xiaochuan (author), Okumura, Manabu (author)
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on the interaction between textual information and 2D images, lacking research on 3D data, especially point clouds at scene level,...
conference paper 2024
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Li, Wenting (author), Yang, Jiahong (author), Cheng, Haibo (author), Wang, Ping (author), Liang, K. (author)
Modeling password distributions is a fundamental problem in password security, benefiting the research and applications on password guessing, password strength meters, honey password vaults, etc. As one of the best segment-based password models, WordPCFG has been proposed to capture individual semantic segments (called words) in passwords....
conference paper 2023
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Liang, Xuhui (author), Dong, Hua (author), Li, Zhenming (author), van Zijl, Marc Brito (author), Ye, Guang (author)
This paper investigated the feasibility of using biomass fly ash (BFA) to prepare alkaliactivated slag and fly ash paste. The reference mixture was alkali-activated slag and coal fly ash (CFA) paste with a slag-to-coal fly ash ratio of 50/50. In other mixtures, coal fly ash was replaced at 40% and 100% with BFA, respectively. The results showed...
conference paper 2021
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Liang, X. (author), Dong, H. (author), Li, Z. (author), van Zijl, Marc Brito (author), Ye, G. (author)
This paper investigated the feasibility of using biomass fly ash (BFA) to prepare alkaliactivated slag and fly ash paste. The reference mixture was alkali-activated slag and coal fly ash (CFA) paste with a slag-to-coal fly ash ratio of 50/50. In other mixtures, coal fly ash was replaced at 40% and 100% with BFA, respectively. The results showed...
conference paper 2021
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