IEEE

A Sparse Deep Neural Network Inference Accelerator

Abstract: This paper proposes a sparse Deep Neural Network (DNN) inference accelerator architecture that can be used for a reconfigurable edge computing platform that improves computational efficiency ...
IEEE

MotifGT-DTI: Pivotal Motif-Based Graph Transformer Model Improves Drug–Target Interaction Prediction

Abstract: Predicting drug–target interactions (DTIs) plays an essential role in drug discovery and drug repurposing. Although significant performance improvements have been achieved in DTI prediction, ...
IEEE

A Trust Model for Human-Machine Interaction in Virtual Reality

Abstract: Human trust in machines is critical for effective human-machine interaction in virtual reality (VR). Prior work defined a three-layered framework of such trust but also indicated two ...
IEEE

An Adaptive Feature Interaction Learning Model for QoS Prediction With Multi-Source Context

Abstract: The increasingly dynamic and diversified cloud service network environment poses many challenges to the QoS prediction in the field of service recommendation. How to predict the quality of ...