Nano-scaled transistor reliability characterization at nano-second regime
Published in Science China Information Sciences
Erratum to: Self-adjustable hyper-graphs for video pose estimation based on spatial-temporal subspace construction
Published in Science China Information Sciences
Effects of non-fatal electrostatic discharge on the threshold voltage degradation in nano CMOS devices
Published in Science China Information Sciences
Large scale air pollution prediction with deep convolutional networks
Published in Science China Information Sciences
Although considerable success has been achieved in urban air quality prediction (AQP) with machine learning techniques, accurate and long-term prediction is still challenging. One of the key issues for existing AQP approaches is that air quality monitoring stations are sparsely distributed, typically with around ten monitoring stations per city. As...
Orbital angular momentum multiplexing communication system over atmospheric turbulence with K-best detection
Published in Science China Information Sciences
As the optical communication technology advances, vortex beam with orbital angular momentum (OAM) has gained wide attention due to its potential to significantly increase the channel capacity. Under the influence of atmospheric turbulence, there are still challenging problems in the OAM multiplexing system. To the best of our knowledge, in this pap...
EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search
Published in Science China Information Sciences
Neural architecture search (NAS) methods have been proposed to relieve human experts from tedious architecture engineering. However, most current methods are constrained in small-scale search owing to the issue of huge computational resource consumption. Meanwhile, the direct application of architectures searched on small datasets to large datasets...
Malware incident response (IR) informed by cyber threat intelligence (CTI)
Published in Science China Information Sciences
VNet: a versatile network to train real-time semantic segmentation models on a single GPU
Published in Science China Information Sciences
Learning real-time automata
Published in Science China Information Sciences
Real-time automata (RTAs) are a subclass of timed automata with only one clock which resets at each transition. In this paper, we present an active learning algorithm for deterministic real-time automata (DRTAs) in both continuous-time semantics and discrete-time semantics. For a target language recognized by a DRTA A\documentclass[12pt]{minimal} \...
Learning to focus: cascaded feature matching network for few-shot image recognition
Published in Science China Information Sciences
Generally, deep networks learn to recognize a category of objects by training on a large number of annotated images accurately. However, a meta-learning problem known as a low-shot image recognition task occurs when a few images with annotations are available for learning a recognition model for a single category. Consequently, the objects in testi...
