Bin Wang

TEAM: We Need More Powerful Adversarial Examples for DNNs

Although deep neural networks (DNNs) have achieved success in many appli...
07/31/2020 ∙ by Yaguan Qian, et al. ∙ 5 ∙ share

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Admissible ways of merging p-values under arbitrary dependence

Methods of merging several p-values into a single p-value are important ...
07/28/2020 ∙ by Vladimir Vovk, et al. ∙ 0 ∙ share

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Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification

Deep convolutional neural networks have demonstrated promising performan...
07/03/2020 ∙ by Bin Wang, et al. ∙ 9 ∙ share

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Optimal convergence and long-time conservation of exponential integration for Schrödinger equations in a normal or highly oscillatory regime

In this paper, we formulate and analyse exponential integrations when ap...
07/01/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

Few-shot classification tends to struggle when it needs to adapt to dive...
06/23/2020 ∙ by Xin Cong, et al. ∙ 0 ∙ share

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Accelerating linear solvers for large-scale Stokes problems with C++ metaprogramming

Ability to solve large sparse linear systems of equations is very import...
06/10/2020 ∙ by Denis Demidov, et al. ∙ 0 ∙ share

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Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter

With the rapid development of mobile Internet technology and the widespr...
06/10/2020 ∙ by Qi Huang, et al. ∙ 0 ∙ share

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MeshODE: A Robust and Scalable Framework for Mesh Deformation

We present MeshODE, a scalable and robust framework for pairwise CAD mod...
05/23/2020 ∙ by Jingwei Huang, et al. ∙ 0 ∙ share

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Error estimates of some splitting schemes for charged-particle dynamics under strong magnetic field

In this work, we consider the error estimates of some splitting schemes ...
05/22/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

Generative adversarial imitation learning (GAIL) has shown promising res...
05/19/2020 ∙ by Cong Fei, et al. ∙ 9 ∙ share

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Attention-based Transducer for Online Speech Recognition

Recent studies reveal the potential of recurrent neural network transduc...
05/18/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Unified Multi-Criteria Chinese Word Segmentation with BERT

Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word bo...
04/13/2020 ∙ by Zhen Ke, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Bin Wang

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