User profiles for Lili Pan

Lili Pan

Associate Professor, University of Electronic Science and Technology of China
Verified email at uestc.edu.cn
Cited by 766

Organic contamination and remediation in the agricultural soils of China: A critical review

J Sun, L Pan, DCW Tsang, Y Zhan, L Zhu… - Science of the Total …, 2018 - Elsevier
Soil pollution is a global problem in both developed and developing countries. Countries
with rapidly developing economies such as China are faced with significant soil pollution …

FDA approval summary: selumetinib for plexiform neurofibroma

…, Y Shen, S Khasar, MA Goheer, WS Helms, L Pan… - Clinical Cancer …, 2021 - AACR
On April 10, 2020, the FDA approved selumetinib (KOSELUGO, AstraZeneca) for the treatment
of pediatric patients 2 years of age and older with neurofibromatosis type 1 who have …

Strategic design of amyloid-β species fluorescent probes for Alzheimer's disease

D Su, W Diao, J Li, L Pan, X Zhang… - ACS Chemical …, 2022 - ACS Publications
Alzheimer’s disease (AD) is a high mortality and high disability rates neurodegenerative
disease characterized by irreversible progression and poses a significant social and economic …

Tailoring defects in In2S3/Zn0. 3Cd0. 7S heterojunctions for efficient photocatalytic CO2 conversion

J Liu, Y Liu, L Li, X Ye, X Zheng, L Pan, W Ren… - Applied Surface …, 2023 - Elsevier
Defect engineering is a highly effective approach to regulate the electronic structure of the
catalyst surface, widely employed in the field of photocatalytic energy conversion. In this study, …

Contamination of phthalate esters, organochlorine pesticides and polybrominated diphenyl ethers in agricultural soils from the Yangtze River Delta of China

J Sun, L Pan, Y Zhan, H Lu, DCW Tsang, W Liu… - Science of the Total …, 2016 - Elsevier
To reveal the pollution status associated with rapid urbanization and economic growth,
extensive areas of agricultural soils (approximately 45,800 km 2 ) in the Yangtze River Delta of …

Semi-supervised deep embedded clustering

Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu - Neurocomputing, 2019 - Elsevier
Clustering is an important topic in machine learning and data mining. Recently, deep clustering,
which learns feature representations for clustering tasks using deep neural networks, …

Studying the role of dual vacancies over g-C3N4/Zn0. 3Cd0. 7S for photocatalytic CO2 reduction

J Liu, L Li, X Zheng, L Pan, W Ren, S Meng… - Separation and …, 2023 - Elsevier
Defect engineering as an important surface regulation method, is closely related to the
adsorption, activation and transformation of reactant molecules. To improve the efficiency of …

Deep embedded multi-view clustering with collaborative training

J Xu, Y Ren, G Li, L Pan, C Zhu, Z Xu - Information Sciences, 2021 - Elsevier
Multi-view clustering has attracted increasing attentions recently by utilizing information
from multiple views. However, existing multi-view clustering methods are either with high …

Self-supervised discriminative feature learning for deep multi-view clustering

J Xu, Y Ren, H Tang, Z Yang, L Pan… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Multi-view clustering is an important research topic due to its capability to utilize complementary
information from multiple views. However, there are few methods to consider the …

Deficiency of cathepsin S attenuates angiotensin II-induced abdominal aortic aneurysm formation in apolipoprotein E-deficient mice

Y Qin, X Cao, J Guo, Y Zhang, L Pan… - Cardiovascular …, 2012 - academic.oup.com
Aims Abdominal aortic aneurysm (AAA) is characterized by extensive aortic wall matrix
degradation that contributes to the remodelling and eventual rupture of the arterial wall. …