b'Bin Wang'

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

The main challenge of dynamic texture synthesis lies in how to maintain ...
04/13/2021 ∙ by Kaitai Zhang, et al. ∙ 0 ∙ share

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Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN

GAN-based neural vocoders, such as Parallel WaveGAN and MelGAN have attr...
03/26/2021 ∙ by Congyi Wang, et al. ∙ 0 ∙ share

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Progressive residual learning for single image dehazing

The recent physical model-free dehazing methods have achieved state-of-t...
03/14/2021 ∙ by Yudong Liang, et al. ∙ 0 ∙ share

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BLOCKEYE: Hunting For DeFi Attacks on Blockchain

Decentralized finance, i.e., DeFi, has become the most popular type of a...
03/04/2021 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Task-adaptive Neural Process for User Cold-Start Recommendation

User cold-start recommendation is a long-standing challenge for recommen...
02/26/2021 ∙ by Xixun Lin, et al. ∙ 0 ∙ share

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Progressive Depth Learning for Single Image Dehazing

The formulation of the hazy image is mainly dominated by the reflected l...
02/21/2021 ∙ by Yudong Liang, et al. ∙ 7 ∙ share

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Towards Speeding up Adversarial Training in Latent Spaces

Adversarial training is wildly considered as the most effective way to d...
02/01/2021 ∙ by Yaguan Qian, et al. ∙ 0 ∙ share

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Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning

The majority of Chinese characters are monophonic, i.e.their pronunciati...
02/01/2021 ∙ by Yi Shi, et al. ∙ 0 ∙ share

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Boosting performance for software defined networks from traffic engineering perspective

Paths selection algorithms and rate adaptation objective functions are u...
01/15/2021 ∙ by Mohammed I. Salman, et al. ∙ 0 ∙ share

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GraphHop: An Enhanced Label Propagation Method for Node Classification

A scalable semi-supervised node classification method on graph-structure...
01/07/2021 ∙ by Tian Xie, et al. ∙ 0 ∙ share

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Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

Most Visual Question Answering (VQA) models suffer from the language pri...
12/17/2020 ∙ by Xi Zhu, et al. ∙ 0 ∙ share

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Bipartite Graph Embedding via Mutual Information Maximization

Bipartite graph embedding has recently attracted much attention due to t...
12/10/2020 ∙ by Jiangxia Cao, et al. ∙ 0 ∙ share

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Few-Shot Event Detection with Prototypical Amortized Conditional Random Field

Event Detection, a fundamental task of Information Extraction, tends to ...
12/04/2020 ∙ by Xin Cong, et al. ∙ 0 ∙ share

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Towards Imperceptible Adversarial Image Patches Based on Network Explanations

The vulnerability of deep neural networks (DNNs) for adversarial example...
12/02/2020 ∙ by Yaguan Qian, et al. ∙ 0 ∙ share

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Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework

The optimal charging infrastructure planning problem over a large geospa...
11/17/2020 ∙ by Wanshi Hong, et al. ∙ 0 ∙ share

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A Syntactic Approach to Studying Strongly Equivalent Logic Programs

In the field of Answer Set Programming (ASP), two logic programs are str...
11/09/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Pre-trained Model for Chinese Word Segmentation with Meta Learning

Recent researches show that pre-trained models such as BERT (Devlin et a...
10/23/2020 ∙ by Zhen Ke, et al. ∙ 0 ∙ share

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Graph Geometry Interaction Learning

While numerous approaches have been developed to embed graphs into eithe...
10/23/2020 ∙ by Shichao Zhu, et al. ∙ 0 ∙ share

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SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

Segmenting arbitrary 3D objects into constituent parts that are structur...
10/22/2020 ∙ by Cheng Lin, et al. ∙ 0 ∙ share

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Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

Non-autoregressive models generate target words in a parallel way, which...
10/19/2020 ∙ by Pan Xie, et al. ∙ 0 ∙ share

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Coarse-to-Fine Pre-training for Named Entity Recognition

More recently, Named Entity Recognition hasachieved great advances aided...
10/16/2020 ∙ by Mengge Xue, et al. ∙ 0 ∙ share

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Uniformly accurate structure-preserving algorithms for nonlinear Hamiltonian systems with highly oscillatory solution

Uniformly accurate algorithms and structure-preserving algorithms consti...
10/13/2020 ∙ by Bin Wang, et al. ∙ 0 ∙ share

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Focus-Constrained Attention Mechanism for CVAE-based Response Generation

To model diverse responses for a given post, one promising way is to int...
09/25/2020 ∙ by Zhi Cui, et al. ∙ 0 ∙ share

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Inductive Learning on Commonsense Knowledge Graph Completion

Commonsense knowledge graph (CKG) is a special type of knowledge graph (...
09/19/2020 ∙ by Bin Wang, et al. ∙ 29 ∙ share

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EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks

With the boom of edge intelligence, its vulnerability to adversarial att...
09/19/2020 ∙ by Yaguan Qian, et al. ∙ 9 ∙ share

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A novel combination of theoretical analysis and data-driven method for reconstruction of structural defects

Ultrasonic guided wave technology has played a significant role in the f...
09/14/2020 ∙ by Qi Li, et al. ∙ 0 ∙ share

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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 Stokes problems with C++ metaprogramming

The efficient solution of large sparse saddle point systems is very impo...
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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Bin Wang

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