Publications

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

Recurrent neural networks (RNNs) have been widely adopted in research areas concerned with sequential data, such as text, audio, and video. However, RNNs consisting of sigma cel...

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

Observational epidemiological studies are prone to confounding, reverse causation and various biases and have generated findings that have proved to be unreliable indicators of ...

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

A performance comparison of multi-hop wireless ad hoc network routing protocols

Article Free Access Share on A performance comparison of multi-hop wireless ad hoc network routing protocols Authors: Josh Broch Computer Science Department, Carnegie Mellon Uni...

Modeling Relational Data with Graph Convolutional Networks

LINE

This paper studies the problem of embedding very large information networks\ninto low-dimensional vector spaces, which is useful in many tasks such as\nvisualization, node class...

NeRF

We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using ...

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has b...

Quantum theory, the Church–Turing principle and the universal quantum computer

It is argued that underlying the Church–Turing hypothesis there is an implicit physical assertion. Here, this assertion is presented explicitly as a physical principle: ‘every f...

Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China

Cardiac injury is a common condition among hospitalized patients with COVID-19 in Wuhan, China, and it is associated with higher risk of in-hospital mortality.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts o...