Hui Jiang

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York University

Professor, Ph.D., P.Eng. of Department of Electrical Engineering and Computer Science at York University

Match^2: A Matching over Matching Model for Similar Question Identification

Community Question Answering (CQA) has become a primary means for people...
06/21/2020 ∙ by Zizhen Wang, et al. ∙ 0 ∙ share

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On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks

In this paper, we have extended the well-established universal approxima...
02/10/2020 ∙ by Behnam Asadi, et al. ∙ 11 ∙ share

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Dual-FOFE-net Neural Models for Entity Linking with PageRank

This paper presents a simple and computationally efficient approach for ...
07/30/2019 ∙ by Feng Wei, et al. ∙ 0 ∙ share

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Bandlimiting Neural Networks Against Adversarial Attacks

In this paper, we study the adversarial attack and defence problem in de...
05/30/2019 ∙ by Yuping Lin, et al. ∙ 4 ∙ share

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Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs

Content-based news recommendation systems need to recommend news article...
05/24/2019 ∙ by Kevin Joseph, et al. ∙ 5 ∙ share

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Effective Context and Fragment Feature Usage for Named Entity Recognition

In this paper, we explore a new approach to named entity recognition (NE...
04/05/2019 ∙ by Nargiza Nosirova, et al. ∙ 0 ∙ share

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A Multi-task Learning Approach for Named Entity Recognition using Local Detection

Named entity recognition (NER) systems that perform well require task-re...
04/05/2019 ∙ by Nargiza Nosirova, et al. ∙ 0 ∙ share

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A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases

Question answering over knowledge base (KB-QA) has recently become a pop...
03/29/2019 ∙ by Dekun Wu, et al. ∙ 4 ∙ share

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Why Learning of Large-Scale Neural Networks Behaves Like Convex Optimization

In this paper, we present some theoretical work to explain why simple gr...
03/06/2019 ∙ by Hui Jiang, et al. ∙ 20 ∙ share

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Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation

In this paper, we present our method of using fixed-size ordinally forge...
02/23/2019 ∙ by Xi Zhu, et al. ∙ 4 ∙ share

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A New Perspective on Machine Learning: How to do Perfect Supervised Learning

In this work, we introduce the concept of bandlimiting into the theory o...
01/07/2019 ∙ by Hui Jiang, et al. ∙ 6 ∙ share

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DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks

The past few years have witnessed the fast development of different regu...
11/16/2018 ∙ by Hengyue Pan, et al. ∙ 24 ∙ share

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Exploring Machine Reading Comprehension with Explicit Knowledge

To apply general knowledge to machine reading comprehension (MRC), we pr...
09/10/2018 ∙ by Chao Wang, et al. ∙ 6 ∙ share

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Simplified Hierarchical Recurrent Encoder-Decoder for Building End-To-End Dialogue Systems

As a generative model for building end-to-end dialogue systems, Hierarch...
09/08/2018 ∙ by Chao Wang, et al. ∙ 0 ∙ share

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Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC

Grant-free transmission is considered as a promising technology to suppo...
07/21/2018 ∙ by Hui Jiang, et al. ∙ 0 ∙ share

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Using Neural Network for Identifying Clickbaits in Online News Media

Online news media sometimes use misleading headlines to lure users to op...
06/20/2018 ∙ by Amin Omidvar, et al. ∙ 0 ∙ share

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Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis

Small p-values are often required to be accurately estimated in large sc...
03/09/2018 ∙ by Yang Shi, et al. ∙ 0 ∙ share

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Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

The RepEval 2017 Shared Task aims to evaluate natural language understan...
08/04/2017 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

The last several years have seen intensive interest in exploring neural-...
03/14/2017 ∙ by Junbei Zhang, et al. ∙ 0 ∙ share

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Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...
11/13/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Neural Networks Models for Entity Discovery and Linking

This paper describes the USTC_NELSLIP systems submitted to the Trilingua...
11/11/2016 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection

In this paper, we study a novel approach for named entity recognition (N...
11/02/2016 ∙ by Mingbin Xu, et al. ∙ 0 ∙ share

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Distraction-Based Neural Networks for Document Summarization

Distributed representation learned with neural networks has recently sho...
10/26/2016 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation

Convolutional neural networks (CNNs) have yielded the excellent performa...
06/20/2016 ∙ by Hengyue Pan, et al. ∙ 0 ∙ share

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Higher Order Recurrent Neural Networks

In this paper, we study novel neural network structures to better model ...
04/30/2016 ∙ by Rohollah Soltani, et al. ∙ 0 ∙ share

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Probabilistic Reasoning via Deep Learning: Neural Association Models

In this paper, we propose a new deep learning approach, called neural as...
03/24/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Part-of-Speech Relevance Weights for Learning Word Embeddings

This paper proposes a model to learn word embeddings with weighted conte...
03/24/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Generating images with recurrent adversarial networks

Gatys et al. (2015) showed that optimizing pixels to match features in a...
02/16/2016 ∙ by Daniel Jiwoong Im, et al. ∙ 0 ∙ share

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A Deep Learning Based Fast Image Saliency Detection Algorithm

In this paper, we propose a fast deep learning method for object salienc...
02/01/2016 ∙ by Hengyue Pan, et al. ∙ 0 ∙ share

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Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency

In this paper, we propose a novel neural network structure, namely feedf...
12/28/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Feedforward Sequential Memory Neural Networks without Recurrent Feedback

We introduce a new structure for memory neural networks, called feedforw...
10/09/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

Financial news contains useful information on public companies and the m...
06/24/2015 ∙ by Yangtuo Peng, et al. ∙ 0 ∙ share

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A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models

In this paper, we propose the new fixed-size ordinally-forgetting encodi...
05/06/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Deep Learning for Object Saliency Detection and Image Segmentation

In this paper, we propose several novel deep learning methods for object...
05/05/2015 ∙ by Hengyue Pan, et al. ∙ 0 ∙ share

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Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks

In this paper, we propose a novel model for high-dimensional data, calle...
02/03/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Hui Jiang

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