Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Huang Tianhao"'
Deep learning models for NLP tasks are prone to variants of privacy attacks. To prevent privacy leakage, researchers have investigated word-level perturbations, relying on the formal guarantees of differential privacy (DP) in the embedding space. How
Externí odkaz:
http://arxiv.org/abs/2410.08027
Currently, attention mechanisms have garnered increasing attention in Graph Neural Networks (GNNs), such as Graph Attention Networks (GATs) and Graph Transformers (GTs). It is not only due to the commendable boost in performance they offer but also i
Externí odkaz:
http://arxiv.org/abs/2410.06950
Autor:
LIU Yawen, LU Jiahui, NI Chen, HUANG Jie, HUANG Tianhao, SHEN Nan, DONG Yulin, SHI Meilin, HU Junfeng
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 48, Iss 7, Pp 659-666 (2021)
Objective To explore whether inhibiting autophagy can enhance the sensitivity of photothermal treatment under mild photothermal conditions. Methods CQ@PLGA@PDA NPs were prepared by an improved double emulsification method and a PDA-based surface modi
Externí odkaz:
https://doaj.org/article/09737c1a3c204769b5501aa5e60ca0c9
Concept Bottleneck Models (CBMs) have garnered increasing attention due to their ability to provide concept-based explanations for black-box deep learning models while achieving high final prediction accuracy using human-like concepts. However, the t
Externí odkaz:
http://arxiv.org/abs/2406.18992
Publikováno v:
Science and Engineering of Composite Materials, Vol 26, Iss 1, Pp 301-307 (2019)
Chrysotile asbestos has excellent physical and chemical properties, but its high biotoxicity is very damaging to human health, due to its durability, high aspect ratio, and the exist of iron. By simple chemical treatment of chrysotile asbestos, silic
Externí odkaz:
https://doaj.org/article/5c07ff2dbc964e34ace77254a756faec
Autor:
Ali, Muhammad Asif, Li, Zhengping, Yang, Shu, Cheng, Keyuan, Cao, Yang, Huang, Tianhao, Hu, Guimin, Lyu, Weimin, Hu, Lijie, Yu, Lu, Wang, Di
Large Language Models (LLMs) have shown exceptional abilities for multiple different natural language processing tasks. While prompting is a crucial tool for LLM inference, we observe that there is a significant cost associated with exceedingly lengt
Externí odkaz:
http://arxiv.org/abs/2404.00489
Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users' current check-in trajectories. The recommendation performance of this task is contingent upon a comprehensive understanding of users' persona
Externí odkaz:
http://arxiv.org/abs/2403.12100
Autor:
Xu, Cheng, Hou, Xiaofeng, Liu, Jiacheng, Li, Chao, Huang, Tianhao, Zhu, Xiaozhi, Niu, Mo, Sun, Lingyu, Tang, Peng, Xu, Tongqiao, Cheng, Kwang-Ting, Guo, Minyi
The explosive growth of various types of big data and advances in AI technologies have catalyzed a new type of workloads called multi-modal DNNs. Multi-modal DNNs are capable of interpreting and reasoning about information from multiple modalities, m
Externí odkaz:
http://arxiv.org/abs/2212.01241
Publikováno v:
In Ocean Engineering 1 October 2024 309 Part 1