Xi'an Jiaotong-Liverpool University

research

∙ 03/10/2021

Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems

In this work, we generalize the reaction-diffusion equation in statistic...

Ping Guo, et al. ∙

research

∙ 11/08/2018

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

Correlation filter has been proven to be an effective tool for a number ...

Yanchun Xie, et al. ∙

research

∙ 11/19/2019

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

Weakly supervised semantic segmentation is a challenging task as it only...

Bingfeng Zhang, et al. ∙

research

∙ 01/14/2020

For2For: Learning to forecast from forecasts

This paper presents a time series forecasting framework which combines s...

Shi Zhao, et al. ∙

research

∙ 11/01/2021

PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild

Automatic nuclei segmentation and classification plays a vital role in d...

Kai Yao, et al. ∙

research

∙ 11/15/2019

On Model Robustness Against Adversarial Examples

We study the model robustness against adversarial examples, referred to ...

Shufei Zhang, et al. ∙

research

∙ 11/20/2019

Deep Minimax Probability Machine

Deep neural networks enjoy a powerful representation and have proven eff...

Lirong He, et al. ∙

research

∙ 04/16/2020

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...

Mingjie Sun, et al. ∙

research

∙ 12/20/2019

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

The growing momentum of instrumenting the Internet of Things (IoT) with ...

Dixing Xu, et al. ∙

research

∙ 07/16/2018

Manifold Adversarial Learning

The recently proposed adversarial training methods show the robustness t...

Shufei Zhang, et al. ∙

research

∙ 08/27/2019

Segmentation Mask Guided End-to-End Person Search

Person search aims to search for a target person among multiple images r...

Dingyuan Zheng, et al. ∙

research

∙ 12/28/2019

Hybrid Channel Based Pedestrian Detection

Pedestrian detection has achieved great improvements with the help of Co...

Fiseha B. Tesema, et al. ∙

research

∙ 12/06/2017

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...

Kyeong Soo Kim, et al. ∙

research

∙ 05/09/2017

Phonetic Temporal Neural Model for Language Identification

Deep neural models, particularly the LSTM-RNN model, have shown great po...

Zhiyuan Tang, et al. ∙

research

∙ 06/30/2017

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Financial portfolio management is the process of constant redistribution...

Zhengyao Jiang, et al. ∙

research

∙ 05/16/2017

IAN: The Individual Aggregation Network for Person Search

Person search in real-world scenarios is a new challenging computer vers...

Jimin Xiao, et al. ∙

research

∙ 04/03/2014

Enabling Automatic Certification of Online Auctions

We consider the problem of building up trust in a network of online auct...

Wei Bai, et al. ∙

research

∙ 11/19/2015

A Unified Gradient Regularization Family for Adversarial Examples

Adversarial examples are augmented data points generated by imperceptibl...

Chunchuan Lyu, et al. ∙

research

∙ 08/07/2017

Memory-augmented Neural Machine Translation

Neural machine translation (NMT) has achieved notable success in recent ...

Yang Feng, et al. ∙

research

∙ 09/16/2016

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 ...

Kyeong Soo Kim, et al. ∙

research

∙ 05/11/2018

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

The restricted maximum likelihood method enhances popularity of maximum ...

Shengxin Zhu, et al. ∙

research

∙ 06/29/2018

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

We introduce SemanticLock, a single factor graphical authentication solu...

Ilesanmi Olade, et al. ∙

research

∙ 08/31/2018

Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Blockchain technology is ushering in another break- out year, the challe...

Jia Kan, et al. ∙

research

∙ 10/13/2018

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...

Kyeong Soo Kim, et al. ∙

research

∙ 10/17/2018

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...

Zhenghang Zhong, et al. ∙

research

∙ 11/15/2018

Some Moderate Deviations for Ewens-Pitman Sampling Model

Ewens-Pitman model has been successfully applied to various fields inclu...

Youzhou Zhou, et al. ∙

research

∙ 02/25/2019

MTFS: Merkle Tree based File System

The blockchain technology has been changing ourdaily lives since the cry...

Jia Kan, et al. ∙

research

∙ 05/02/2019

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...

Xintao Huan, et al. ∙

research

∙ 04/30/2019

Semi-Unsupervised Lifelong Learning for Sentiment Classification

Lifelong machine learning is a novel machine learning paradigm which con...

Xianbin Hong, et al. ∙

research

∙ 05/23/2019

On generalized Piterbarg-Berman function

This paper aims to evaluate the Piterbarg-Berman function given by PB_α^...

Chengxiu Ling, et al. ∙

research

∙ 06/03/2019

Hierarchical Auxiliary Learning

Conventional application of convolutional neural networks (CNNs) for ima...

Jaehoon Cha, et al. ∙

research

∙ 06/21/2019

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

Message bundling is an effective way to reduce the energy consumption fo...

Xintao Huan, et al. ∙

research

∙ 09/09/2019

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

Research in Mobile Location-Based Crowdsourcing is hindered by a marked ...

Irwyn Sadien, et al. ∙

research

∙ 12/11/2019

Towards Better Forecasting by Fusing Near and Distant Future Visions

Multivariate time series forecasting is an important yet challenging pro...

Jiezhu Cheng, et al. ∙

research

∙ 04/07/2020

Deep Normalization for Speaker Vectors

Deep speaker embedding has demonstrated state-of-the-art performance in ...

Yunqi Cai, et al. ∙

research

∙ 05/24/2020

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

In this study, a novel Distributed Representation of News (DRNews) model...

Ye Ma, et al. ∙

research

∙ 07/29/2020

Evaluation of Sampling Methods for Scatterplots

Given a scatterplot with tens of thousands of points or even more, a nat...

Jun Yuan, et al. ∙

research

∙ 12/08/2020

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

Sparse labels have been attracting much attention in recent years. Howev...

Siyue Yu, et al. ∙

research

∙ 02/26/2021

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...

John Dunham, et al. ∙

research

∙ 04/28/2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity

The AdaBelief algorithm demonstrates superior generalization ability to ...

Yangfan Zhou, et al. ∙

research

∙ 06/08/2021

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation is receiving great attention due...

Bingfeng Zhang, et al. ∙

research

∙ 07/09/2021

Fast Pixel-Matching for Video Object Segmentation

Video object segmentation, aiming to segment the foreground objects give...

Siyue Yu, et al. ∙

research

∙ 07/12/2021

Monoscopic vs. Stereoscopic Views and Display Types in the Teleoperation of Unmanned Ground Vehicles for Object Avoidance

Virtual reality (VR) head-mounted displays (HMD) have recently been used...

Yiming Luo, et al. ∙

research

∙ 07/23/2021

AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training

We consider unsupervised cell nuclei segmentation in this paper. Exploit...

Kai Yao, et al. ∙

research

∙ 08/03/2021

Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation

We focus on tackling weakly supervised semantic segmentation with scribb...

Bingfeng Zhang, et al. ∙

research

∙ 08/12/2021

Exploring Head-based Mode-Switching in Virtual Reality

Mode-switching supports multilevel operations using a limited number of ...

Rongkai Shi, et al. ∙

research

∙ 08/21/2021

Using Trajectory Compression Rate to Predict Changes in Cybersickness in Virtual Reality Games

Identifying cybersickness in virtual reality (VR) applications such as g...

Diego Monteiro, et al. ∙

research

∙ 09/08/2021

VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce

Video moderation, which refers to remove deviant or explicit content fro...

Tan Tang, et al. ∙

research

∙ 09/29/2021

RelicVR: A Virtual Reality Game for Active Exploration of Archaeological Relics

Digitalization is changing how people visit museums and explore the arti...

Yilin Liu, et al. ∙

research

∙ 10/08/2021

Effect of Visual Cues on Pointing Tasks in Co-located Augmented Reality Collaboration

Visual cues are essential in computer-mediated communication. It is espe...

Lei Chen, et al. ∙

Xi'an Jiaotong-Liverpool University

Featured Researchers