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Chapter and Conference Paper
OADA: An Online Data Augmentation Method for Raw Histopathology Images
Deep learning-based automatic medical diagnosis is intensively studied in recent years. Abundant clinical raw records can be utilized, but we demonstrate that mixed and unknown magnification scales and stainin...
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Article
Collaborative deep learning across multiple data centers
Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. I...
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Chapter and Conference Paper
Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network
Acoustic scene classification is an intricate problem for a machine. As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results. In this paper, we explore the use of ...
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Chapter and Conference Paper
Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network
Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years. However, it remains challenging and falls short of accuracy and ef...
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Chapter and Conference Paper
HDID: An Efficient Hybrid Docker Image Distribution System for Datacenters
Docker, a container-based virtualization technology, is widely used in datacenters. To increase the speed of booting containers, the storage and the distribution of Docker images have received much research ef...
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Article
An online service-oriented performance profiling tool for cloud computing systems
The growing scale and complexity of component interactions in cloud computing systems post great challenges for operators to understand the characteristics of system performance. Profiling has long been proved...
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Article
Effect of Carbon Nanotube Addition on Strength of Aluminum Welds Prepared by Ultrasound Welding
A multiwall carbon nanotube (MWCNT)-reinforced aluminum matrix composite was fabricated by ultrasonic metal welding. The composite microstructure was investigated using a scanning electron microscope, transmis...
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Article
Localizing root causes of performance anomalies in cloud computing systems by analyzing request trace logs
It is hard to localize the primary cause of performance anomalies in cloud computing systems because of the complexity of interactions between components. The hidden connections in the huge number of request e...