User profiles for Yuanfu Lu
Yuanfu LuWeChat, Tencent Verified email at bupt.edu.cn Cited by 867 |
Meta-learning on heterogeneous information networks for cold-start recommendation
Cold-start recommendation has been a challenging problem due to sparse user-item
interactions for new users or items. Existing efforts have alleviated the cold-start issue to some …
interactions for new users or items. Existing efforts have alleviated the cold-start issue to some …
Mineral arsenicals in traditional medicines: orpiment, realgar, and arsenolite
J Liu, Y Lu, Q Wu, RA Goyer, MP Waalkes - Journal of pharmacology and …, 2008 - ASPET
Mineral arsenicals have long been used in traditional medicines for various diseases, yet
arsenic can be highly toxic and carcinogenic. Arsenic in traditional medicines typically comes …
arsenic can be highly toxic and carcinogenic. Arsenic in traditional medicines typically comes …
A review of plant leaf fungal diseases and its environment speciation
A Jain, S Sarsaiya, Q Wu, Y Lu, J Shi - Bioengineered, 2019 - Taylor & Francis
There is increasing difficulty in identifying new plant leaf diseases as a result of environmental
change. There is a need to identify the factors influencing the emergence and the …
change. There is a need to identify the factors influencing the emergence and the …
[HTML][HTML] Diurnal variation of hepatic antioxidant gene expression in mice
YQ Xu, D Zhang, T Jin, DJ Cai, Q Wu, Y Lu, J Liu… - 2012 - journals.plos.org
Background This study was aimed to examine circadian variations of hepatic antioxidant
components, including the Nrf2- pathway, the glutathione (GSH) system, antioxidant enzymes …
components, including the Nrf2- pathway, the glutathione (GSH) system, antioxidant enzymes …
Dynamic heterogeneous information network embedding with meta-path based proximity
Heterogeneous information network (HIN) embedding aims at learning the low-dimensional
representation of nodes while preserving structure and semantics in a HIN. Existing …
representation of nodes while preserving structure and semantics in a HIN. Existing …
Learning to pre-train graph neural networks
Graph neural networks (GNNs) have become the defacto standard for representation
learning on graphs, which derive effective node representations by recursively aggregating …
learning on graphs, which derive effective node representations by recursively aggregating …
Temporal network embedding with micro-and macro-dynamics
Network embedding aims to embed nodes into a low-dimensional space, while capturing
the network structures and properties. Although quite a few promising network embedding …
the network structures and properties. Although quite a few promising network embedding …
Relation structure-aware heterogeneous information network embedding
Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes
into a low-dimensional space. Although most existing HIN embedding methods consider …
into a low-dimensional space. Although most existing HIN embedding methods consider …
Alkaloids enriched extract from Dendrobium nobile Lindl. attenuates tau protein hyperphosphorylation and apoptosis induced by lipopolysaccharide in rat brain
S Yang, Q Gong, Q Wu, F Li, Y Lu, J Shi - Phytomedicine, 2014 - Elsevier
Neurofibrillary tangles, one of the characteristic pathological features of Alzheimer's disease
(AD), are composed of paired helical filaments mainly with hyperphosphorylated tau protein…
(AD), are composed of paired helical filaments mainly with hyperphosphorylated tau protein…
Few-shot link prediction in dynamic networks
Dynamic link prediction, which aims at forecasting future edges of a node in a dynamic
network, is an important problem in network science and has a wide range of real-world …
network, is an important problem in network science and has a wide range of real-world …