Nguyen Lu Dang Khoa

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 26

Top Topics

Recommender Systems

Anomaly Detection

Tensor Analysis

Top Venues

ACM Trans. Intell. Syst. Technol.

Publications

Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web (WWW) 26 (2) (2023)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
HeteGraph: graph learning in recommender systems via graph convolutional networks. Neural Comput. Appl. 35 (18) (2023)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, Nguyen Hoang Tran
Deep Conversational Recommender Systems: Challenges and Opportunities. Computer 55 (4) (2022)
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
Let Trajectories Speak Out the Traffic Bottlenecks. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Ayoub Alayoub, Samer Abed El Rahim, Samir Mustapha, Darine Salam, Ali Tehrani, Nguyen Lu Dang Khoa
The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data. WHISPERS (2022)
Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran, Nguyen Lu Dang Khoa
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. WISE (2) (2021)
Frances Cameron-Muller, Dilusha Weeraddana, Raghav Chalapathy, Nguyen Lu Dang Khoa
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting. PAKDD (1) (2021)
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR (2021)
Dilusha Weeraddana, Harini Hapuarachchi, Lakshitha Kumarapperuma, Nguyen Lu Dang Khoa, Chen Cai
Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis. PAKDD (2) (2020)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. CoRR (2020)
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai
Energy consumption forecasting using a stacked nonparametric Bayesian approach. CoRR (2020)
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
Robust Deep Learning Methods for Anomaly Detection. KDD (2020)
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai
Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach. ECML/PKDD (5) (2020)
Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen
Online Data Fusion Using Incremental Tensor Learning. PAKDD (1) (2019)
Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. CIKM (2019)
Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla
Incremental commute time and its online applications. Pattern Recognit. 88 (2019)
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen H. Tran, Quan Z. Sheng
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. CoRR (2019)
Prasad Cheema, Nguyen Lu Dang Khoa, Moray Kidd, Gareth A. Vio
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems. CoRR (2018)
Ali Anaissi, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa
A Tensor-Based Structural Damage Identification and Severity Assessment. Sensors 18 (1) (2018)
Ali Anaissi, Nguyen Lu Dang Khoa, Yang Wang
Automated parameter tuning in one-class support vector machine: an application for damage detection. Int. J. Data Sci. Anal. 6 (4) (2018)
Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehrisadat Makki Alamdari, Yang Wang
Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring. ACM Trans. Intell. Syst. Technol. 9 (6) (2018)
Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring. PAKDD (1) (2017)
Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract. CIKM (2017)
Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring. ICONIP (1) (2017)
Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. CIKM (2016)
Nguyen Lu Dang Khoa, Sanjay Chawla
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) (2016)
Nguyen Lu Dang Khoa, Sanjay Chawla
A scalable approach to spectral clustering with SDD solvers. J. Intell. Inf. Syst. 44 (2) (2015)
Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie
On Damage Identification in Civil Structures Using Tensor Analysis. PAKDD (1) (2015)
Nguyen Lu Dang Khoa, Sanjay Chawla
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. Discovery Science (2012)
Nguyen Lu Dang Khoa, Sanjay Chawla
Large Scale Spectral Clustering Using Approximate Commute Time Embedding CoRR (2011)
Nguyen Lu Dang Khoa, Sanjay Chawla
Online Anomaly Detection Systems Using Incremental Commute Time CoRR (2011)
Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi
Network Anomaly Detection Using a Commute Distance Based Approach. ICDM Workshops (2010)
Nguyen Lu Dang Khoa, Sanjay Chawla
Robust Outlier Detection Using Commute Time and Eigenspace Embedding. PAKDD (2) (2010)