Search Results for author: Bo Yu

Found 9 papers, 1 papers with code

Autonomy 2.0: The Quest for Economies of Scale

no code implementations8 Jul 2023 Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu

With the advancement of robotics and AI technologies in the past decade, we have now entered the age of autonomous machines.

Autonomous Vehicles

Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History

no code implementations18 Apr 2023 Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong

Second, a probability matrix and a weight matrix are used to enhance the classification capacity by combining the RS and medical history data in the multi-modality data fusion module.

Specificity

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

1 code implementation18 Apr 2023 Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong

In this paper, we propose a Data and Knowledge Co-driving (D&K) model to replicate the process of cancer subtype classification on a histopathological slide like a pathologist.

Ensemble Learning

Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators

no code implementations5 Dec 2022 Abhishek Tyagi, Yiming Gan, Shaoshan Liu, Bo Yu, Paul Whatmough, Yuhao Zhu

As Deep Neural Networks (DNNs) are increasingly deployed in safety critical and privacy sensitive applications such as autonomous driving and biometric authentication, it is critical to understand the fault-tolerance nature of DNNs.

Autonomous Driving

Dataflow Accelerator Architecture for Autonomous Machine Computing

no code implementations15 Sep 2021 Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao

Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing.

Cloud Computing

An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform

no code implementations1 Apr 2021 Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu

In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target.

A Survey of FPGA-Based Robotic Computing

no code implementations13 Sep 2020 Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu

On the other hand, FPGA-based robotic accelerators are becoming increasingly competitive alternatives, especially in latency-critical and power-limited scenarios.

Autonomous Vehicles

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