Bin Wang

Global Adaptive Generative Adjustment

Many traditional signal recovery approaches can behave well basing on th...
11/02/2019 ∙ by Bin Wang, et al. ∙ 14 ∙ share

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From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images

Leaf image recognition techniques have been actively researched for plan...
10/11/2019 ∙ by Bin Wang, et al. ∙ 10 ∙ share

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Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks

Deep Convolutional Neural Networks (CNNs) have been widely used in image...
07/29/2019 ∙ by Bin Wang, et al. ∙ 8 ∙ share

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Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

Click prediction is one of the fundamental problems in sponsored search....
04/23/2014 ∙ by Yuyu Zhang, et al. ∙ 0 ∙ share

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Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

In the field of connectomics, neuroscientists seek to identify cortical ...
03/24/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Learning neural trans-dimensional random field language models with noise-contrastive estimation

Trans-dimensional random field language models (TRF LMs) where sentences...
10/30/2017 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Language modeling with Neural trans-dimensional random fields

Trans-dimensional random field language models (TRF LMs) have recently b...
07/23/2017 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Model Interpolation with Trans-dimensional Random Field Language Models for Speech Recognition

The dominant language models (LMs) such as n-gram and neural network (NN...
03/30/2016 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Embedding knowledge graphs (KGs) into continuous vector spaces is a focu...
11/30/2017 ∙ by Shu Guo, et al. ∙ 0 ∙ share

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Electric Vehicle Driver Clustering using Statistical Model and Machine Learning

Electric Vehicle (EV) is playing a significant role in the distribution ...
02/12/2018 ∙ by Yingqi Xiong, et al. ∙ 0 ∙ share

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Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017

We present our winning solution for the WSDM Cup 2017 triple scoring tas...
12/22/2017 ∙ by Boyang Ding, et al. ∙ 0 ∙ share

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Approximate Analytical Solutions of Power Flow Equations Based on Multi-Dimensional Holomorphic Embedding Method

It is well known that closed-form analytical solutions for AC power flow...
06/20/2017 ∙ by Chengxi Liu, et al. ∙ 0 ∙ share

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Improving Knowledge Graph Embedding Using Simple Constraints

Embedding knowledge graphs (KGs) into continuous vector spaces is a focu...
05/07/2018 ∙ by Boyang Ding, et al. ∙ 0 ∙ share

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Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification

Convolutional neural networks (CNNs) are one of the most effective deep ...
03/17/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation

Aspect term extraction is one of the important subtasks in aspect-based ...
05/21/2018 ∙ by Huaishao Luo, et al. ∙ 0 ∙ share

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Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation

A new whole-sentence language model - neural trans-dimensional random fi...
07/03/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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A Hybrid DE Approach to Designing CNN for Image Classification

Convolutional Neural Networks (CNNs) have demonstrated their superiority...
08/20/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding

Although embedded vector representations of words offer impressive perfo...
08/20/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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ExaGridPF: A Parallel Power Flow Solver for Transmission and Unbalanced Distribution Systems

This paper investigates parallelization strategies for solving power flo...
11/28/2017 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification

A novel graph-to-tree conversion mechanism called the deep-tree generati...
09/04/2018 ∙ by Fenxiao Chen, et al. ∙ 0 ∙ share

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Compatible Matrices of Spearman's Rank Correlation

In this paper, we provide a negative answer to a long-standing open prob...
10/08/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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A privacy-preserving, decentralized and functional Bitcoin e-voting protocol

Bitcoin, as a decentralized digital currency, has caused extensive resea...
09/22/2018 ∙ by Zijian Bao, et al. ∙ 0 ∙ share

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Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English

Recent research has shown that attention-based sequence-tosequence model...
10/31/2018 ∙ by Yan Yin, et al. ∙ 0 ∙ share

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Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition

Human emotion recognition is an important direction in the field of biom...
11/08/2018 ∙ by Shenglan Liu, et al. ∙ 0 ∙ share

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A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification

Convolutional Neural Networks (CNNs) have demonstrated their superiority...
08/20/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach

This paper concerns with the production of synthetic phasor measurement ...
12/07/2018 ∙ by Xiangtian Zheng, et al. ∙ 0 ∙ share

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Lockcoin: a secure and privacy-preserving mix service for bitcoin anonymity

We propose Lockcoin, a secure and privacy-preserving mix service for bit...
11/11/2018 ∙ by Zijian Bao, et al. ∙ 0 ∙ share

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Deep Prediction Interval for Weather Forecasting

Currently there exists a gap between deep learning and the techniques re...
12/22/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting

This paper uses the weather forecasting as an application background to ...
12/22/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Evaluating Word Embedding Models: Methods and Experimental Results

Extensive evaluation on a large number of word embedding models for lang...
01/28/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification

In recent years, convolutional neural networks (CNNs) have become deeper...
03/21/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data

The accuracy and fidelity of deformation simulations are highly dependen...
08/15/2018 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks

Image classification is a difficult machine learning task, where Convolu...
03/10/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning

Benefiting from the excellent ability of neural networks on learning sem...
06/20/2019 ∙ by Mengge Xue, et al. ∙ 0 ∙ share

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A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field

A modification of the standard Boris algorithm, called filtered Boris al...
07/17/2019 ∙ by Ernst Hairer, et al. ∙ 0 ∙ share

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Graph Representation Learning: A Survey

Research on graph representation learning has received a lot of attentio...
09/03/2019 ∙ by Fenxiao Chen, et al. ∙ 0 ∙ share

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A game method for improving the interpretability of convolution neural network

Real artificial intelligence always has been focused on by many machine ...
10/21/2019 ∙ by Jinwei Zhao, et al. ∙ 0 ∙ share

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Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks

Recent studies have shown convolution neural networks (CNNs) for image r...
10/27/2019 ∙ by Ya-guan Qian, et al. ∙ 0 ∙ share

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On the Strong Equivalences for LPMLN Programs

LPMLN is a powerful knowledge representation and reasoning tool that com...
09/09/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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On the Strong Equivalences of LPMLN Programs

By incorporating the methods of Answer Set Programming (ASP) and Markov ...
09/18/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples

Although deep neural networks (DNNs) have achieved successful applicatio...
01/23/2020 ∙ by Ya-guan Qian, et al. ∙ 0 ∙ share

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From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study

Virtual worlds have become global platforms connecting millions of peopl...
01/08/2020 ∙ by Bingqing Shen, et al. ∙ 0 ∙ share

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Efficient Sentence Embedding via Semantic Subspace Analysis

A novel sentence embedding method built upon semantic subspace analysis,...
02/22/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity

In this paper, we present a new traffic engineering (TE) software framew...
01/16/2020 ∙ by Mohammed Salman, et al. ∙ 0 ∙ share

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Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching

Learning semantic correspondence between image and text is significant a...
09/25/2019 ∙ by Chunxiao Liu, et al. ∙ 0 ∙ share

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SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

Sentence embedding is an important research topic in natural language pr...
02/16/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Feature-Driven Super-Resolution for Object Detection

Although some convolutional neural networks (CNNs) based super-resolutio...
04/01/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Graph Structured Network for Image-Text Matching

Image-text matching has received growing interest since it bridges visio...
04/01/2020 ∙ by Chunxiao Liu, et al. ∙ 0 ∙ share

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Learning Elastic Constitutive Material and Damping Models

The fidelity of a deformation simulation is highly dependent upon the un...
09/03/2019 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Bin Wang

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