Cheng Liu | DeepAI

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Featured Co-authors

Lei Zhang
366 publications
Li Li
178 publications
Ying Wang
84 publications
Yongpeng Wu
76 publications
Yiannis Aloimonos
53 publications
Tao Luo
51 publications
Kwang-Ting Cheng
51 publications
Zhen Gao
50 publications
Julian Cheng
41 publications
Bingsheng He
39 publications
Min Lin
38 publications

∙ 08/22/2023

DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs

Mixed-precision neural networks (MPNNs) that enable the use of just enou...

0 Erjing Luo, et al. ∙

∙ 08/15/2023

Whale Detection Enhancement through Synthetic Satellite Images

With a number of marine populations in rapid decline, collecting and ana...

0 Akshaj Gaur, et al. ∙

∙ 08/08/2023

A Deep-Learning Method Using Auto-encoder and Generative Adversarial Network for Anomaly Detection on Ancient Stone Stele Surfaces

Accurate detection of natural deterioration and man-made damage on the s...

0 Yikun Liu, et al. ∙

∙ 08/08/2023

ChatSim: Underwater Simulation with Natural Language Prompting

Robots are becoming an essential part of many operations including marin...

0 Aadi Palnitkar, et al. ∙

∙ 06/20/2023

Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving

The reliability of deep learning accelerators (DLAs) used in autonomous ...

0 Haitong Huang, et al. ∙

∙ 06/20/2023

MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing

To ensure resilient neural network processing on even unreliable hardwar...

0 Haitong Huang, et al. ∙

∙ 10/26/2022

SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water

Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile a...

0 Xiaomin Lin, et al. ∙

∙ 10/12/2022

Statistical Modeling of Soft Error Influence on Neural Networks

Soft errors in large VLSI circuits pose dramatic influence on computing-...

0 Haitong Huang, et al. ∙

∙ 04/05/2022

Fault-Tolerant Deep Learning: A Hierarchical Perspective

With the rapid advancements of deep learning in the past decade, it can ...

0 Cheng Liu, et al. ∙

∙ 03/28/2022

Adaptive Risk Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning

Enabling robots with the capability of assessing risk and making risk-aw...

0 Cheng Liu, et al. ∙

∙ 02/17/2022

Winograd Convolution: A Perspective from Fault Tolerance

Winograd convolution is originally proposed to reduce the computing over...

0 Xinghua Xue, et al. ∙

∙ 12/06/2021

A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion

This study proposes a novel general dataset-free self-supervised learnin...

7 Yuanjie Gu, et al. ∙

∙ 10/12/2021

Deep Fusion Prior for Multi-Focus Image Super Resolution Fusion

This paper unifies the multi-focus images fusion (MFIF) and blind super ...

15 Yuanjie Gu, et al. ∙

∙ 08/11/2021

Taming Process Variations in CNFET for Efficient Last Level Cache Design

Carbon nanotube field-effect transistors (CNFET) emerge as a promising a...

0 Dawen Xu, et al. ∙

∙ 07/07/2021

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

AIoT processors fabricated with newer technology nodes suffer rising sof...

0 Dawen Xu, et al. ∙

∙ 07/06/2021

Energy-Efficient Accelerator Design for Deformable Convolution Networks

Deformable convolution networks (DCNs) proposed to address the image rec...

0 Dawen Xu, et al. ∙

∙ 06/09/2021

HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning

Hardware faults on the regular 2-D computing array of a typical deep lea...

0 Cheng Liu, et al. ∙

∙ 10/13/2019

On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone

This paper investigates the physical-layer security for a random indoor ...

0 Jin-Yuan Wang, et al. ∙

∙ 02/26/2019

A Survey on Graph Processing Accelerators: Challenges and Opportunities

Graph is a well known data structure to represent the associated relatio...

0 Chuangyi Gui, et al. ∙

∙ 12/19/2018

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

In this paper, we consider efficiently learning the structural informati...

0 Jinyuan Chang, et al. ∙

∙ 07/26/2018

Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis

This paper investigates the physical-layer security for an indoor visibl...

0 Jin-Yuan Wang, et al. ∙

∙ 06/21/2016

A Soft Processor Overlay with Tightly-coupled FPGA Accelerator

FPGA overlays are commonly implemented as coarse-grained reconfigurable ...

0 Ho-Cheung Ng, et al. ∙

∙ 08/27/2015

Automatic Nested Loop Acceleration on FPGAs Using Soft CGRA Overlay

Offloading compute intensive nested loops to execute on FPGA accelerator...

0 Cheng Liu, et al. ∙

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