27 citations · 67 across the 14 of their papers we have counts for
14 papers
Video Person Re-identification using Attribute-enhanced Features
Tianrui Chai, Zhiyuan Chen, Annan Li +3
Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, suc…
Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
Zhiyuan Chen, Howe Seng Goh, Kai Ling Sin +3
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large…
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning
Jia Wei Chong, Zhiyuan Chen, Mei Shin Oh
Service manual documents are crucial to the engineering company as they provide guidelines and knowledge to service engineers. However, it has become inconvenient and inefficient f…
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification
Ee Fey Goh, ZhiYuan Chen, Wei Xiang Lim
The conventional spatial convolution layers in the Convolutional Neural Networks (CNNs) are computationally expensive at the point where the training time could take days unless th…
IDEAL: Independent Domain Embedding Augmentation Learning
Zhiyuan Chen, Guang Yao, Wennan Ma +1
Many efforts have been devoted to designing sampling, mining, and weighting strategies in high-level deep metric learning (DML) loss objectives. However, little attention has been…
Incremental learning with online SVMs on LiDAR sensory data
Le Dinh Van Khoa, Zhiyuan Chen
The pipelines transmission system is one of the growing aspects, which has existed for a long time in the energy industry. The cost of in-pipe exploration for maintaining service a…
Unsupervised Real Time Prediction of Faults Using the Support Vector Machine
Zhiyuan Chen, Isa Dino, Nik Ahmad Akram
This paper aims at improving the classification accuracy of a Support Vector Machine (SVM) classifier with Sequential Minimal Optimization (SMO) training algorithm in order to prop…
Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
Chen ZhiYuan, Olugbenro. O. Selere, Nicholas Lu Chee Seng
This paper aims at improving the classification accuracy of a Support Vector Machine (SVM) classifier with Sequential Minimal Optimization (SMO) training algorithm in order to prop…
A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System
Wei Xiang Lim, Zhiyuan Chen, Amr Ahmed +2
Diabetes is a global epidemic and it is increasing at an alarming rate. The International Diabetes Federation (IDF) projected that the total number of people with diabetes globally…
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification
Zhiyuan Chen, Annan Li, Shilu Jiang +1
Video-based person re-identification (Re-ID) is an important computer vision task. The batch-hard triplet loss frequently used in video-based person Re-ID suffers from the Distance…
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection
Kasra Babaei, ZhiYuan Chen, Tomas Maul
This paper proposes an autoencoder (AE) that is used for improving the performance of once-class classifiers for the purpose of detecting anomalies. Traditional one-class classifie…
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Kasra Babaei, ZhiYuan Chen, Tomas Maul
Outlier detection (also known as anomaly detection or deviation detection) is a process of detecting data points in which their patterns deviate significantly from others. It is co…
A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
Zhiyuan Chen, Annan Li, Yunhong Wang
In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach. The challenge mainly lies in spatial and temporal modeling and how to integr…
Lifelong Learning for Sentiment Classification
Zhiyuan Chen, Nianzu Ma, Bing Liu
This paper proposes a novel lifelong learning (LL) approach to sentiment classification. LL mimics the human continuous learning process, i.e., retaining the knowledge learned from…