Our paper entitled “MEDAS: An Open-source Platform as an Service to Help Break the Walls between Medicine and Informatics” has been accepted and published online by the journal Neural Computing and Applications (IF-2020: 5.606).
A Newly Edited eBook has been Published!
Our newly edited eBook named “Machine Learning for Non/Less-Invasive Methods in Health Informatics” has been successfully published by Frontiers.
My Official Website at BIT has been Released!
My official website at BIT has been released here.
A New Position at BIT!
I have been officially appointed as a (Full) Professor and PhD supervisor at Beijing Institute of Technology (北京理工大学), China. I am always happy to collaborate with excllent leading scientists.
A New Paper has been Accepted by IEEE T-TIS!
We have a new paper entitled “Learning Multimodal Representations for Drowsiness Detection” has been accepted by the prestigous journal IEEE Transactions on Intelligent Transportation Systems (IF-2020: 6.492).
A New Paper has been Published by IEEE SPM!
We have a new paper entitled “Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring” that has been published by the top journal IEEE Signal Processing Magazine (IF-2019: 11.350).
A New Paper has been Accepted by JMRT!
We have a new paper (collaborated with Assoc Prof Liang ZHANG@CQU) entitled “Molecular Dynamics Simulation and Machine Learning of Mechanical Response in Non-equiatomic FeCrNiCoMn High Entropy Alloy“ that has been accepted and published online by the Journal of Materials Research and Technology (IF-2019: 5.289).
A New Paper has been Accepted by Metals!
We have a new paper (collaborated with Assoc Prof Liang ZHANG@CQU) entitled “Prediction on Mechanical Properties of Non-Equiatomic High-Entropy Alloy by Atomistic Simulation and Machine Learning” that has been accepted and published by Metals (IF-2019: 2.224).
The Prococedings of CSMT2020 has been Published!
Our edited proceedings of the CSMT2020 has been published by Springer LNEE.
A New Paper has been Accepted by ESWA!
Our paper entitled “Learning Audio Sequence Representations for Acoustic Event Classification” has been accepted and published online by Expert Systems With Applications (IF-2019: 5.452).