1.2k citations · 1.7k across the 33 of their papers we have counts for
33 papers
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Hui Jiang, Yunlu Xu, Zhanzhan Cheng +5
Text recognition is a popular topic for its broad applications. In this work, we excavate the implicit task, character counting within the traditional text recognition, without add…
On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks
Behnam Asadi, Hui Jiang
In this paper, we have extended the well-established universal approximator theory to neural networks that use the unbounded ReLU activation function and a nonlinear softmax output…
Dual-FOFE-net Neural Models for Entity Linking with PageRank
Feng Wei, Uyen Trang Nguyen, Hui Jiang
This paper presents a simple and computationally efficient approach for entity linking (EL), compared with recurrent neural networks (RNNs) or convolutional neural networks (CNNs),…
Bandlimiting Neural Networks Against Adversarial Attacks
Yuping Lin, Kasra Ahmadi K. A., Hui Jiang
In this paper, we study the adversarial attack and defence problem in deep learning from the perspective of Fourier analysis. We first explicitly compute the Fourier transform of d…
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs
Kevin Joseph, Hui Jiang
Content-based news recommendation systems need to recommend news articles based on the topics and content of articles without using user specific information. Many news articles de…
Effective Context and Fragment Feature Usage for Named Entity Recognition
Nargiza Nosirova, Mingbin Xu, Hui Jiang
In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improv…