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.

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).

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).

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).

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).

Our edited proceedings of the CSMT2020 has been published by Springer LNEE.

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).

Our recent paper entitled “Computer Audition for Fighting the SARS-CoV-2 Corona Crisis — Introducing the Multi-task Speech Corpus for COVID-19” has been accepted by the IEEE Internet of Things Journal (IEEE IoTJ) (IF-2019: 9.936). We present the state-of-the-art compuert audition work for monitoiring the physical and mental health status of COVID-19 patients, which can contribute to the AI-enabled methods for fighting with the global pandemic.

I am successfully evaluated as the IEEE Senior Member.

Our recent paper entitled “Multi-Label Learning with Missing and Completely Unobserved Labels” has been accepted by the journal Data Mining and Knowledge Discovery (DAMI) (IF-2019: 2.629).