Search Results for author: Tian Liu

Found 10 papers, 0 papers with code

Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO

no code implementations9 Aug 2021 Shunbo Zhang, Shun Zhang, Jianpeng Ma, Tian Liu, Octavia A. Dobre

We design a latent ordinary differential equation (ODE)-based network under the variational auto-encoder (VAE) framework to learn the mapping function from the partial uplink channels to the full downlink ones at the BS side.

FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications

no code implementations28 Jun 2020 Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen

Along with the proliferation of Artificial Intelligence (AI) and Internet of Things (IoT) techniques, various kinds of adversarial attacks are increasingly emerging to fool Deep Neural Networks (DNNs) used by Industrial IoT (IIoT) applications.

Federated Learning

Machine Learning in Quantitative PET Imaging

no code implementations18 Jan 2020 Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang

This paper reviewed the machine learning-based studies for quantitative positron emission tomography (PET).

Deep Learning in Medical Image Registration: A Review

no code implementations27 Dec 2019 Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang

Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of development in medical image registration using deep learning.

Image Registration Medical Image Registration

Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent

no code implementations17 Dec 2019 Tian Liu, Li-Chun Wang, Shaofan Wang

Fusing low level and high level features is a widely used strategy to provide details that might be missing during convolution and pooling.

Adversarial FDI Attack against AC State Estimation with ANN

no code implementations26 Jun 2019 Tian Liu, Tao Shu

Artificial neural network (ANN) provides superior accuracy for nonlinear alternating current (AC) state estimation (SE) in smart grid over traditional methods.

A New Probabilistic Algorithm for Approximate Model Counting

no code implementations13 Jun 2017 Cunjing Ge, Feifei Ma, Tian Liu, Jian Zhang

Constrained counting is important in domains ranging from artificial intelligence to software analysis.

Cannot find the paper you are looking for? You can Submit a new open access paper.