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ORCIDKhoa L. D. Nguyen
Person information
- affiliation: CSIRO, Data61, Sydney, NSW, Australia
- affiliation (PhD 2012): University of Sydney, NSW, Australia
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2020 – today
- 2023
[j9]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): 13047-13063 (2023)- [j8]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): 713-732 (2023) - 2022
- [j7]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): 30-39 (2022) - [j6]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): 8:1-8:21 (2022) - [c19]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: 1-6 - 2021
- [c18]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: 277-289 - [c17]Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa:
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. WISE (2) 2021: 237-251 - [i7]Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa:
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR abs/2107.12948 (2021) - 2020
- [c16]Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Khoa L. D. Nguyen:
HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. IJCNN 2020: 1-8 - [c15]Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla:
Robust Deep Learning Methods for Anomaly Detection. KDD 2020: 3507-3508 - [c14]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: 487-499 - [c13]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: 19-35 - [i6]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen Hoang Tran, Lina Yao, Nguyen Lu Dang Khoa:
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. CoRR abs/2004.13245 (2020) - [i5]Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai:
Energy consumption forecasting using a stacked nonparametric Bayesian approach. CoRR abs/2011.05519 (2020)
2010 – 2019
- 2019
- [j5]Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla:
Incremental commute time and its online applications. Pattern Recognit. 88: 101-112 (2019) - [c12]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: 2813-2821 - [c11]Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen:
Online Data Fusion Using Incremental Tensor Learning. PAKDD (1) 2019: 357-369 - [i4]Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen Hoang Tran, Quan Z. Sheng:
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. CoRR abs/1901.00415 (2019) - 2018
- [j4]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): 311-325 (2018) - [j3]Ali Anaissi, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa:
A Tensor-Based Structural Damage Identification and Severity Assessment. Sensors 18(1): 111 (2018) - [j2]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): 64:1-64:20 (2018) - [c10]Dai Hoang Tran, Zawar Hussain, Wei Zhang, Khoa L. D. Nguyen, Nguyen Hoang Tran, Quan Z. Sheng:
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. ACIS 2018: 66 - [p1]Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Ali Anaissi, Yang Wang:
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features. Human and Machine Learning 2018: 409-435 - [i3]Prasad Cheema, Nguyen Lu Dang Khoa, Moray Kidd, Gareth A. Vio:
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems. CoRR abs/1812.04845 (2018) - 2017
- [c9]Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang:
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract. CIKM 2017: 959-967 - [c8]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: 484-496 - [c7]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: 42-57 - 2016
- [c6]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: 1813-1822 - [c5]Nguyen Lu Dang Khoa, Sanjay Chawla:
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) 2016: 49-64 - 2015
- [j1]Nguyen Lu Dang Khoa, Sanjay Chawla:
A scalable approach to spectral clustering with SDD solvers. J. Intell. Inf. Syst. 44(2): 289-308 (2015) - [c4]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: 459-471 - 2012
- [c3]Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. Discovery Science 2012: 7-21 - 2011
- [i2]Nguyen Lu Dang Khoa, Sanjay Chawla:
Online Anomaly Detection Systems Using Incremental Commute Time. CoRR abs/1107.3894 (2011) - [i1]Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Approximate Commute Time Embedding. CoRR abs/1111.4541 (2011) - 2010
- [c2]Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi:
Network Anomaly Detection Using a Commute Distance Based Approach. ICDM Workshops 2010: 943-950 - [c1]Nguyen Lu Dang Khoa, Sanjay Chawla:
Robust Outlier Detection Using Commute Time and Eigenspace Embedding. PAKDD (2) 2010: 422-434
Coauthor Index
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