User profiles for Yuanfu Lu

Yuanfu Lu

WeChat, Tencent
Verified email at bupt.edu.cn
Cited by 867

Meta-learning on heterogeneous information networks for cold-start recommendation

Y Lu, Y Fang, C Shi - Proceedings of the 26th ACM SIGKDD international …, 2020 - dl.acm.org
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 …

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 …

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 …

[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 …

Dynamic heterogeneous information network embedding with meta-path based proximity

X Wang, Y Lu, C Shi, R Wang, P Cui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Heterogeneous information network (HIN) embedding aims at learning the low-dimensional
representation of nodes while preserving structure and semantics in a HIN. Existing …

Learning to pre-train graph neural networks

Y Lu, X Jiang, Y Fang, C Shi - Proceedings of the AAAI conference on …, 2021 - ojs.aaai.org
Graph neural networks (GNNs) have become the defacto standard for representation
learning on graphs, which derive effective node representations by recursively aggregating …

Temporal network embedding with micro-and macro-dynamics

Y Lu, X Wang, C Shi, PS Yu, Y Ye - Proceedings of the 28th ACM …, 2019 - dl.acm.org
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 …

Relation structure-aware heterogeneous information network embedding

Y Lu, C Shi, L Hu, Z Liu - Proceedings of the AAAI conference on …, 2019 - ojs.aaai.org
Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes
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…

Few-shot link prediction in dynamic networks

C Yang, C Wang, Y Lu, X Gong, C Shi… - Proceedings of the …, 2022 - dl.acm.org
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 …