Kenli Li

Research interests

Publications

• Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

  Nature Machine Intelligence · 2022 · https://doi.org/10.1038/s42256-022-00557-6

• Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

  IEEE Transactions on Industrial Informatics · 2021 · https://doi.org/10.1109/tii.2021.3069470

• Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

  ACM Transactions on Knowledge Discovery from Data · 2020 · https://doi.org/10.1145/3385414

• Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning

  Journal of Proteome Research · 2020 · https://doi.org/10.1021/acs.jproteome.0c00316

• A scheduling scheme in the cloud computing environment using deep Q-learning

  Information Sciences · 2019 · https://doi.org/10.1016/j.ins.2019.10.035

• Multiple convolutional neural networks for multivariate time series prediction

  Neurocomputing · 2019 · https://doi.org/10.1016/j.neucom.2019.05.023

• Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

  Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · https://doi.org/10.1609/aaai.v33i01.3301485

• Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing

  IEEE Transactions on Industrial Informatics · 2019 · https://doi.org/10.1109/tii.2019.2909473

• iProX: an integrated proteome resource

  Nucleic Acids Research · 2018 · https://doi.org/10.1093/nar/gky869

• A hybrid deep learning CNN–ELM for age and gender classification

  Neurocomputing · 2017 · https://doi.org/10.1016/j.neucom.2017.08.062

• Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

  IEEE Transactions on Geoscience and Remote Sensing · 2017 · https://doi.org/10.1109/tgrs.2017.2710145

• A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment

  IEEE Transactions on Parallel and Distributed Systems · 2016 · https://doi.org/10.1109/tpds.2016.2603511

• An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

  Journal of Grid Computing · 2015 · https://doi.org/10.1007/s10723-015-9334-y

• A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

  Information Sciences · 2014 · https://doi.org/10.1016/j.ins.2014.02.122

• A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

  Information Sciences · 2014 · https://doi.org/10.1016/j.ins.2014.02.122

• Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling

  IEEE Transactions on Parallel and Distributed Systems · 2014 · https://doi.org/10.1109/tpds.2014.2308221

• Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

  IEEE Transactions on Parallel and Distributed Systems · 2013 · https://doi.org/10.1109/tpds.2013.270

• vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines

  IEEE Transactions on Computers · 2011 · https://doi.org/10.1109/tc.2011.112

Current projects

No projects listed.