A research team led by Prof. FAN Jianping and Prof. LI Ye from the Shenzhen Institutes of Advanced Technology proposed a new ECG analysis method based on deep learning to avoid unsatisfactory recognition accuracy of multiple arrhythmias.
Researchers from the Shenzhen Institutes of Advanced Technology proposed a multi-channel-based generative adversarial network (MGAN) with semi-supervision to automatically grade diabetic retinopathy.
Researchers from the Shenzhen Institutes of Advanced Technology proposed a product image recognition with guidance learning and noisy supervision, which showed advanced performance of daily product image recognition.
Researchers from the Shenzhen Institutes of Advanced Technology proposed a novel deep architecture using support matrix machine as its basic module and random shift as the stacking element. It showed better performance in classifying complex matrix-form electroencephalogram data.
A research team led by Prof. LI Huiyun from the Shenzhen Institutes of Advanced Technology introduced a simple deep reinforcement learning (DRL) algorithm with m-out-of-n bootstrap technique and aggregated multiple deep deterministic policy gradient (DDPG) algorithm structures.
Scientists from the Academy of Mathematics and Systems Science (AMSS), along with other collaborators, recently revealed that China's coal-fired power plants met ultra-low emission (ULE) standards ahead of schedule and also achieved substantial emission reductions between 2014 and 2017.
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