User profiles for Jilin Hu
Jilin HuProfessor, East China Normal University Verified email at dase.ecnu.edu.cn Cited by 1044 |
Double cross‐linked biomimetic hyaluronic acid‐based hydrogels with thermo‐stimulated self‐contraction and tissue adhesiveness for accelerating post‐wound …
When skin trauma occurs, rapid achievement of the post‐wound closure is required to
prevent microbial invasion, inhibit scar formation and promote wound healing. To develop a …
prevent microbial invasion, inhibit scar formation and promote wound healing. To develop a …
Bio‐multifunctional hydrogel patches for repairing full‐thickness abdominal wall defects
…, Y Zhao, L Mei, K Sui, Q Zhou, J Hu - Advanced Functional …, 2021 - Wiley Online Library
Developing bio‐multifunctional patches with natural extracellular matrix‐like structures,
excellent high adhesion in the wet state, self‐healing ability, antibacterial activity, and favorable …
excellent high adhesion in the wet state, self‐healing ability, antibacterial activity, and favorable …
Spiders as excellent experimental models for investigation of heavy metal impacts on the environment: a review
H Yang, Y Peng, J Tian, J Wang, J Hu… - Environmental Earth …, 2016 - Springer
Heavy metals can accumulate in the bodies of spiders and affect their physiological and
ecological traits and/or show toxicological effects. Spiders are thus considered to be potential …
ecological traits and/or show toxicological effects. Spiders are thus considered to be potential …
Stochastic weight completion for road networks using graph convolutional networks
Innovations in transportation, such as mobility-on-demand services and autonomous driving,
call for high-resolution routing that relies on an accurate representation of travel time …
call for high-resolution routing that relies on an accurate representation of travel time …
Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks
Origin-destination (OD) matrices are used widely in transportation and logistics to record the
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
Identification of metastatic lymph nodes in MR imaging with faster region-based convolutional neural networks
…, W Xu, J Zhang, D Wang, Z Sun, Y Gao, X Zhang, J Hu… - Cancer research, 2018 - AACR
MRI is the gold standard for confirming a pelvic lymph node metastasis diagnosis. Traditionally,
medical radiologists have analyzed MRI image features of regional lymph nodes to …
medical radiologists have analyzed MRI image features of regional lymph nodes to …
Evolutionary clustering of moving objects
The widespread deployment of smartphones, net-worked in-vehicle devices with geo-positioning
capabilities, and vessel tracking technologies renders it feasible to collect the evolving …
capabilities, and vessel tracking technologies renders it feasible to collect the evolving …
PACE: a PAth-CEntric paradigm for stochastic path finding
With the growing volumes of vehicle trajectory data, it becomes increasingly possible to
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The current …
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The current …
Learning to route with sparse trajectory sets
Motivated by the increasing availability of vehicle trajectory data, we propose learn-to-route,
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph-…
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph-…
[PDF][PDF] Path cost distribution estimation using trajectory data
With the growing volumes of vehicle trajectory data, it becomes increasingly possible to
capture time-varying and uncertain travel costs in a road network, including travel time and fuel …
capture time-varying and uncertain travel costs in a road network, including travel time and fuel …