Ke Xu

Weakly-supervised Salient Instance Detection

Existing salient instance detection (SID) methods typically learn from p...
09/29/2020 ∙ by Xin Tian, et al. ∙ 0 ∙ share

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Off-Path TCP Exploits of the Mixed IPID Assignment

In this paper, we uncover a new off-path TCP hijacking attack that can b...
08/29/2020 ∙ by Xuewei Feng, et al. ∙ 0 ∙ share

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Towards Ground Truth Explainability on Tabular Data

In data science, there is a long history of using synthetic data for met...
07/20/2020 ∙ by Brian Barr, et al. ∙ 28 ∙ share

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BERT Loses Patience: Fast and Robust Inference with Early Exit

In this paper, we propose Patience-based Early Exit, a straightforward y...
06/07/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization

There is renewed interest in using advanced techniques to characterize a...
05/27/2020 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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Harvesting and Refining Question-Answer Pairs for Unsupervised QA

Question Answering (QA) has shown great success thanks to the availabili...
05/06/2020 ∙ by Zhongli Li, et al. ∙ 0 ∙ share

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Weak ties strengthen anger contagion in social media

Increasing evidence suggests that, similar to face-to-face communication...
05/05/2020 ∙ by Rui Fan, et al. ∙ 0 ∙ share

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Scheduled DropHead: A Regularization Method for Transformer Models

In this paper, we introduce DropHead, a structured dropout method specif...
04/28/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

The great success of Transformer-based models benefits from the powerful...
04/23/2020 ∙ by Yaru Hao, et al. ∙ 0 ∙ share

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Behavior variations and their implications for popularity promotions: From elites to mass in Weibo

The boom in social media with regard to producing and consuming informat...
04/12/2020 ∙ by Bowen Shi, et al. ∙ 0 ∙ share

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Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots

The vision of creating entirely-soft robots capable of performing comple...
03/08/2020 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

Automated evaluation of open domain natural language generation (NLG) mo...
02/12/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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Pseudo-Bidirectional Decoding for Local Sequence Transduction

Local sequence transduction (LST) tasks are sequence transduction tasks ...
01/31/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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Self-Adversarial Learning with Comparative Discrimination for Text Generation

Conventional Generative Adversarial Networks (GANs) for text generation ...
01/31/2020 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network

Detecting and masking cloud and cloud shadow from satellite remote sensi...
11/09/2019 ∙ by Ke Xu, et al. ∙ 18 ∙ share

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Improving Grammatical Error Correction with Machine Translation Pairs

We propose a novel data synthesis method to generate diverse error-corre...
11/07/2019 ∙ by Wangchunshu Zhou, et al. ∙ 0 ∙ share

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Online monitoring for safe pedestrian-vehicle interactions

As autonomous systems begin to operate amongst humans, methods for safe ...
10/12/2019 ∙ by Peter Du, et al. ∙ 0 ∙ share

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Where Is My Mirror?

Mirrors are everywhere in our daily lives. Existing computer vision syst...
08/24/2019 ∙ by Xin Yang, et al. ∙ 15 ∙ share

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DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

Recently, single-image super-resolution has made great progress owing to...
08/23/2019 ∙ by Xin Yang, et al. ∙ 23 ∙ share

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Visualizing and Understanding the Effectiveness of BERT

Language model pre-training, such as BERT, has achieved remarkable resul...
08/15/2019 ∙ by Yaru Hao, et al. ∙ 0 ∙ share

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MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network

IP protocol is the core of TCP/IP network layer. However, since IP addre...
08/01/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems

Detecting and analyzing potential anomalous performances in cloud comput...
07/30/2019 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks

The Internet has become the most important infrastructure of modern soci...
06/17/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

Removing rain streaks from a single image has been drawing considerable ...
04/02/2019 ∙ by Tianyu Wang, et al. ∙ 0 ∙ share

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Open-vocabulary Phrase Detection

Most existing work that grounds natural language phrases in images start...
11/17/2018 ∙ by Bryan A. Plummer, et al. ∙ 0 ∙ share

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Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT

Phrase search allows retrieval of documents containing an exact phrase, ...
09/21/2018 ∙ by Meng Shen, et al. ∙ 0 ∙ share

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Budget-aware Online Task Assignment in Spatial Crowdsourcing

The prevalence of mobile internet techniques stimulates the emergence of...
07/26/2018 ∙ by Jia-Xu Liu, et al. ∙ 0 ∙ share

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Robust Edge-Preserved Surface Mesh Polycube Deformation

The problem of polycube construction or deformation is an essential prob...
07/23/2018 ∙ by Hui Zhao, et al. ∙ 0 ∙ share

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Specialty-Aware Task Assignment in Spatial Crowdsourcing

With the rapid development of Mobile Internet, spatial crowdsourcing is ...
04/20/2018 ∙ by Tianshu Song, et al. ∙ 0 ∙ share

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Image Correction via Deep Reciprocating HDR Transformation

Image correction aims to adjust an input image into a visually pleasing ...
04/12/2018 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Diversified Top-k Partial MaxSAT Solving

We introduce a diversified top-k partial MaxSAT problem, a combination o...
05/31/2017 ∙ by Junping Zhou, et al. ∙ 0 ∙ share

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PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks

Convolutional neural networks (CNNs) have been widely employed in many a...
11/08/2016 ∙ by Dong Wang, et al. ∙ 0 ∙ share

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Learning Influence Functions from Incomplete Observations

We study the problem of learning influence functions under incomplete ob...
11/07/2016 ∙ by Xinran He, et al. ∙ 0 ∙ share

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Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts

The short text has been the prevalent format for information of Internet...
12/17/2014 ∙ by Yuan Zuo, et al. ∙ 0 ∙ share

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Phase Transitions in Knowledge Compilation: an Experimental Study

Phase transitions in many complex combinational problems have been widel...
04/05/2011 ∙ by Jian Gao, et al. ∙ 0 ∙ share

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Mining Compressed Repetitive Gapped Sequential Patterns Efficiently

Mining frequent sequential patterns from sequence databases has been a c...
06/04/2009 ∙ by Yongxin Tong, et al. ∙ 0 ∙ share

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The Prioritized Inductive Logic Programs

The limit behavior of inductive logic programs has not been explored, bu...
06/10/2002 ∙ by Shilong Ma, et al. ∙ 0 ∙ share

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Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints

In order to control the process of data mining and focus on the things o...
04/29/2002 ∙ by Qingguo Zheng, et al. ∙ 0 ∙ share

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When to Update the sequential patterns of stream data?

In this paper, we first define a difference measure between the old and ...
03/27/2002 ∙ by Qingguo Zheng, et al. ∙ 0 ∙ share

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The Algorithms of Updating Sequential Patterns

Because the data being mined in the temporal database will evolve with t...
03/27/2002 ∙ by Qingguo Zheng, et al. ∙ 0 ∙ share

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On the Average Similarity Degree between Solutions of Random k-SAT and Random CSPs

To study the structure of solutions for random k-SAT and random CSPs, th...
08/11/2000 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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The SAT Phase Transition

Phase transition is an important feature of SAT problem. For random k-SA...
05/22/2000 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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An Average Analysis of Backtracking on Random Constraint Satisfaction Problems

In this paper we propose a random CSP model, called Model GB, which is a...
05/09/2000 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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Exact Phase Transitions in Random Constraint Satisfaction Problems

In this paper we propose a new type of random CSP model, called Model RB...
04/16/2000 ∙ by Ke Xu, et al. ∙ 0 ∙ share

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Ke Xu

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