Xi'an Jiaotong-Liverpool University

∙ Suzhou Shi , China ∙ 0 followers

Xi'an Jiaotong-Liverpool University is an international joint university based in Suzhou, Jiangsu, China.

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

Correlation filter has been proven to be an effective tool for a number ...
11/08/2018 ∙ by Yanchun Xie, et al. ∙ 28 ∙ share

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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...
11/19/2019 ∙ by Bingfeng Zhang, et al. ∙ 27 ∙ share

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For2For: Learning to forecast from forecasts

This paper presents a time series forecasting framework which combines s...
01/14/2020 ∙ by Shi Zhao, et al. ∙ 17 ∙ share

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On Model Robustness Against Adversarial Examples

We study the model robustness against adversarial examples, referred to ...
11/15/2019 ∙ by Shufei Zhang, et al. ∙ 13 ∙ share

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Deep Minimax Probability Machine

Deep neural networks enjoy a powerful representation and have proven eff...
11/20/2019 ∙ by Lirong He, et al. ∙ 13 ∙ share

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Fast Template Matching and Update for Video Object Tracking and Segmentation

In this paper, the main task we aim to tackle is the multi-instance semi...
04/16/2020 ∙ by Mingjie Sun, et al. ∙ 11 ∙ share

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Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation

The growing momentum of instrumenting the Internet of Things (IoT) with ...
12/20/2019 ∙ by Dixing Xu, et al. ∙ 9 ∙ share

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Manifold Adversarial Learning

The recently proposed adversarial training methods show the robustness t...
07/16/2018 ∙ by Shufei Zhang, et al. ∙ 8 ∙ share

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Segmentation Mask Guided End-to-End Person Search

Person search aims to search for a target person among multiple images r...
08/27/2019 ∙ by Dingyuan Zheng, et al. ∙ 7 ∙ share

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Hybrid Channel Based Pedestrian Detection

Pedestrian detection has achieved great improvements with the help of Co...
12/28/2019 ∙ by Fiseha B. Tesema, et al. ∙ 4 ∙ share

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A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting

One of the key technologies for future large-scale location-aware servic...
12/06/2017 ∙ by Kyeong Soo Kim, et al. ∙ 0 ∙ share

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Phonetic Temporal Neural Model for Language Identification

Deep neural models, particularly the LSTM-RNN model, have shown great po...
05/09/2017 ∙ by Zhiyuan Tang, et al. ∙ 0 ∙ share

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A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Financial portfolio management is the process of constant redistribution...
06/30/2017 ∙ by Zhengyao Jiang, et al. ∙ 0 ∙ share

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IAN: The Individual Aggregation Network for Person Search

Person search in real-world scenarios is a new challenging computer vers...
05/16/2017 ∙ by Jimin Xiao, et al. ∙ 0 ∙ share

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Enabling Automatic Certification of Online Auctions

We consider the problem of building up trust in a network of online auct...
04/03/2014 ∙ by Wei Bai, et al. ∙ 0 ∙ share

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A Unified Gradient Regularization Family for Adversarial Examples

Adversarial examples are augmented data points generated by imperceptibl...
11/19/2015 ∙ by Chunchuan Lyu, et al. ∙ 0 ∙ share

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Memory-augmented Neural Machine Translation

Neural machine translation (NMT) has achieved notable success in recent ...
08/07/2017 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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Stacked-VLAN-Based Modeling of Hybrid ISP Traffic Control Schemes and Service Plans Exploiting Excess Bandwidth in Shared Access Networks

The current practice of shaping subscriber traffic using a token bucket ...
09/16/2016 ∙ by Kyeong Soo Kim, et al. ∙ 0 ∙ share

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Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models

The restricted maximum likelihood method enhances popularity of maximum ...
05/11/2018 ∙ by Shengxin Zhu, et al. ∙ 0 ∙ share

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SemanticLock: An authentication method for mobile devices using semantically-linked images

We introduce SemanticLock, a single factor graphical authentication solu...
06/29/2018 ∙ by Ilesanmi Olade, et al. ∙ 0 ∙ share

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Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Blockchain technology is ushering in another break- out year, the challe...
08/31/2018 ∙ by Jia Kan, et al. ∙ 0 ∙ share

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Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on

In this paper, we propose hybrid building/floor classification and floor...
10/13/2018 ∙ by Kyeong Soo Kim, et al. ∙ 0 ∙ share

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XJTLUIndoorLoc: A New Fingerprinting Database for Indoor Localization and Trajectory Estimation Based on Wi-Fi RSS and Geomagnetic Field

In this paper, we present a new location fingerprinting database compris...
10/17/2018 ∙ by Zhenghang Zhong, et al. ∙ 0 ∙ share

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Some Moderate Deviations for Ewens-Pitman Sampling Model

Ewens-Pitman model has been successfully applied to various fields inclu...
11/15/2018 ∙ by Youzhou Zhou, et al. ∙ 0 ∙ share

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MTFS: Merkle Tree based File System

The blockchain technology has been changing ourdaily lives since the cry...
02/25/2019 ∙ by Jia Kan, et al. ∙ 0 ∙ share

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On the Practical Implementation of Propagation Delay and Clock Skew Compensated High-Precision Time Synchronization Schemes with Resource-Constrained Sensor Nodes in Multi-Hop

In wireless sensor networks (WSNs), implementing a high-precision time s...
05/02/2019 ∙ by Xintao Huan, et al. ∙ 0 ∙ share

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Semi-Unsupervised Lifelong Learning for Sentiment Classification

Lifelong machine learning is a novel machine learning paradigm which con...
04/30/2019 ∙ by Xianbin Hong, et al. ∙ 0 ∙ share

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On generalized Piterbarg-Berman function

This paper aims to evaluate the Piterbarg-Berman function given by PB_α^...
05/23/2019 ∙ by Chengxiu Ling, et al. ∙ 0 ∙ share

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Hierarchical Auxiliary Learning

Conventional application of convolutional neural networks (CNNs) for ima...
06/03/2019 ∙ by Jaehoon Cha, et al. ∙ 0 ∙ share

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Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks

Message bundling is an effective way to reduce the energy consumption fo...
06/21/2019 ∙ by Xintao Huan, et al. ∙ 0 ∙ share

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Lessons Learned from Developing a Microservice Based Mobile Location-Based Crowdsourcing Platform

Research in Mobile Location-Based Crowdsourcing is hindered by a marked ...
09/09/2019 ∙ by Irwyn Sadien, et al. ∙ 0 ∙ share

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Towards Better Forecasting by Fusing Near and Distant Future Visions

Multivariate time series forecasting is an important yet challenging pro...
12/11/2019 ∙ by Jiezhu Cheng, et al. ∙ 0 ∙ share

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Deep Normalization for Speaker Vectors

Deep speaker embedding has demonstrated state-of-the-art performance in ...
04/07/2020 ∙ by Yunqi Cai, et al. ∙ 0 ∙ share

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A Novel Distributed Representation of News (DRNews) for Stock Market Predictions

In this study, a novel Distributed Representation of News (DRNews) model...
05/24/2020 ∙ by Ye Ma, et al. ∙ 0 ∙ share

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Evaluation of Sampling Methods for Scatterplots

Given a scatterplot with tens of thousands of points or even more, a nat...
07/29/2020 ∙ by Jun Yuan, et al. ∙ 0 ∙ share

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Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence

Sparse labels have been attracting much attention in recent years. Howev...
12/08/2020 ∙ by Siyue Yu, et al. ∙ 0 ∙ share

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Casual and Hardcore Player Traits and Gratifications of Pokémon GO, Harry Potter: Wizards Unite, Ingress

Location-based games (LBG) impose virtual spaces on top of physical loca...
02/26/2021 ∙ by John Dunham, et al. ∙ 0 ∙ share

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Xi'an Jiaotong-Liverpool University

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