Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhenrui Yue"'
Publikováno v:
Metabolic Engineering Communications, Vol 19, Iss , Pp e00248- (2024)
Plastic waste has caused a global environmental crisis. Biocatalytic depolymerization mediated by enzymes has emerged as an efficient and sustainable alternative for plastic treatment and recycling. However, it is challenging and time-consuming to di
Externí odkaz:
https://doaj.org/article/88bd095518a24a92b006c748d7f33417
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49948ef7f97fcf64157b0b25281040d
https://doi.org/10.1145/3543507.3583871
https://doi.org/10.1145/3543507.3583871
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fbc870cb96e5adc164a547ebb6fbd00
https://doi.org/10.1109/bigdata55660.2022.10021090
https://doi.org/10.1109/bigdata55660.2022.10021090
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30cf3428ca5917b8d623cc1454829513
https://doi.org/10.1109/asonam55673.2022.10068587
https://doi.org/10.1109/asonam55673.2022.10068587
In many applications with real-world consequences, it is crucial to develop reliable uncertainty estimation for the predictions made by the AI decision systems. Targeting at the goal of estimating uncertainty, various deep neural network (DNN) based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dd0802c87af57088f729e9739c16a1e
http://arxiv.org/abs/2210.02191
http://arxiv.org/abs/2210.02191
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
In this paper, we study an explainable COVID-19 misinformation detection problem where the goal is to accurately identify COVID-19 misleading posts on social media and explain the posts with natural language explanations (NLEs). Our problem is motiva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19662b64651f9166f26b5714704d7cf9
https://doi.org/10.24963/ijcai.2022/706
https://doi.org/10.24963/ijcai.2022/706
Publikováno v:
Knowledge-Based Systems. 264:110356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41cc573a3ac418d7978fee4db56177c4
https://doi.org/10.1016/j.knosys.2023.110356
https://doi.org/10.1016/j.knosys.2023.110356
While sequential recommender systems achieve significant improvements on capturing user dynamics, we argue that sequential recommenders are vulnerable against substitution-based profile pollution attacks. To demonstrate our hypothesis, we propose a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845982ed9596447388609ae3dca4c2c6
Publikováno v:
RecSys
We investigate whether model extraction can be used to "steal" the weights of sequential recommender systems, and the potential threats posed to victims of such attacks. This type of risk has attracted attention in image and text classification, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf8cb82499d045fdccaad0b6f393c99
Publikováno v:
NILM@SenSys
Non-intrusive load monitoring (NILM) based energy disaggregation is the decomposition of a system's energy into the consumption of its individual appliances. Previous work on deep learning NILM algorithms has shown great potential in the field of ene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95488e394ce599adcdfa231c8b64b7da
https://doi.org/10.1145/3427771.3429390
https://doi.org/10.1145/3427771.3429390