Dr Nayyar Zaidi

STAFF PROFILE

Position

Senior Lecturer, Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Publications

Filter by

2024

Property graph representation learning for node classification

Shu Li, Nayyar Zaidi, Meijie Du, Zhou Zhou, Hongfei Zhang, Gang Li

(2024), Vol. 66, pp. 237-265, Knowledge and Information Systems, Berlin, Germany, C1

journal article

Robust visual question answering via semantic cross modal augmentation

A Mashrur, W Luo, N Zaidi, A Robles-Kelly

(2024), Vol. 238, Computer Vision and Image Understanding, C1

journal article

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

Dhananjay Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

(2024), pp. 1-24, International Journal of Production Research, London, Eng., C1

journal article
2023

Interpretable tabular data generation

Y Zhang, N Zaidi, J Zhou, G Li

(2023), Knowledge and Information Systems, C1

journal article

Aspect-based automated evaluation of dialogues

Arash Shabanpour, Ziwei Hou, Akbar Husnoo, Khanh Nguyen, John Yearwood, Nayyar Zaidi

(2023), Vol. 279, pp. 1-14, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

journal article

Improving neural network's robustness on tabular data with D-layers

H Xia, N Zaidi, Y Zhang, G Li

(2023), pp. 1-33, Data Mining and Knowledge Discovery, Berlin, Germany, C1

journal article

Conserving nature's chorus: Local and landscape features promoting frog species richness in farm dams

M Malerba, J Rowley, P Macreadie, J Frazer, N Wright, N Zaidi, A Nazari, D Thiruvady, D Driscoll

(2023), Vol. 286, Biological Conservation, C1

journal article

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble

J Miao, W Luo, N Zaidi, J Wang

(2023), pp. 761-768, HPCC/DSS/SmartCity/DependSys 2022 : Proceedings of the 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application Combined Conference, Hainan, China, E1

conference

Advancing Text Summarization through the Utilization of Arbitrary Aspect Learning

Hou Ziwei, Bahadorreza Ofoghi, Nayyar Zaidi, Mammadov Musa, Huda Shamsul, Yearwood John

(2023), pp. 22-33, MDAI 2023 : Proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence 2023, Umeå, Sweden, E1

conference

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets

Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Paul Montague, Kim Junae, Gang Li

(2023), pp. 147-158, PAKDD 2023 : Advances in knowledge discovery and data mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, proceedings, Osaka, Japan, E1

conference

Kernel-Based Feature Extraction for Time Series Clustering

Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Zhu Qingyi

(2023), pp. 276-283, KSEM 2023 : Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, Guangzhou, China, E1

conference
2022

Surrogate-assisted Population Based ACO for Resource Constrained Job Scheduling with Uncertainty

Dhananjay Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

(2022), pp. 1-16, Swarm and Evolutionary Computation, Amsterdam, The Netherlands, C1

journal article

On the use of Machine Learning methods in rock art research with application to automatic painted rock art identification

A Jalandoni, Y Zhang, N Zaidi

(2022), Vol. 144, pp. 105629-105629, Journal of Archaeological Science, C1

journal article

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data

Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Gang Li

(2022), Vol. LNAI 13281, pp. 367-379, PAKDD 2022 : Pacific Asia Conference : Proceedings of Advances in Knowledge Discovery and Data Mining 2022 conference, Chengdu, China, E1

conference

GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks

Y Zhang, N Zaidi, J Zhou, G Li

(2022), pp. 298-306, SIAM 2022 : Proceedings of SIAM Data Mining 2022 Conference, Virtual, E1

conference

Semantic multi-modal reprojection for robust visual question answering

Akib Mashrur, Wei Luo, Nayyar Zaidi, Antonio Robles-Kelly

(2022), DICTA 2022: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications 2022, Sydney, N.S.W., E1

conference
2021

Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network

Shu Li, Nayyar Zaidi, Qingyun Liu, Gang Li

(2021), Vol. 12712, pp. 434-446, PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Virtual Event, E1

conference

Robust Neural Regression via Uncertainty Learning

A Mashrur, W Luo, N Zaidi, A Robles-Kelly

(2021), pp. 1-6, IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, Shenzhen, China, E1

conference

GANBLR: A Tabular Data Generation Model

Y Zhang, N Zaidi, J Zhou, G Li

(2021), pp. 916-925, ICDM 2021 : Proceedings of the 2021 IEEE International Conference on Data Mining, Auckland, New Zealand, E1

conference
2020

Machine learning for financial risk management: A survey

A Mashrur, W Luo, N Zaidi, A Robles-Kelly

(2020), Vol. 8, pp. 203203-203223, IEEE Access, C1

journal article

On the effectiveness of discretizing quantitative attributes in linear classifiers

N Zaidi, Y Du, G Webb

(2020), Vol. 8, pp. 198856-198871, IEEE Access, C1

journal article
2019

Proximity Forest: an effective and scalable distance-based classifier for time series

B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, G Webb

(2019), Vol. 33, pp. 607-635, Data Mining and Knowledge Discovery, C1-1

journal article
2018

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

François Petitjean, Wray Buntine, Geoffrey Webb, Nayyar Zaidi

(2018), Vol. 107, pp. 1303-1331, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1-1

conference

Efficient and effective accelerated hierarchical higher-order logistic regression for large data quantities

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2018), pp. 459-467, SDM2018 : Proceedings of the 2018 SIAM International Conference on Data Mining, San Diego, California, E1-1

conference
2017

Efficient parameter learning of Bayesian network classifiers

N Zaidi, G Webb, M Carman, F Petitjean, W Buntine, M Hynes, H De Sterck

(2017), Vol. 106, pp. 1289-1329, Machine Learning, C1-1

journal article

A fast trust-region Newton method for softmax logistic regression

Nayyar Zaidi, Zaidi Webb

(2017), pp. 705-713, SDM 2017 : Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, E1-1

conference
2016

ALR n: accelerated higher-order logistic regression

N Zaidi, G Webb, M Carman, F Petitjean, J Cerquides

(2016), Vol. 104, pp. 151-194, Machine Learning, Riva del Garda, ITALY, C1-1

journal article

Scalable learning of Bayesian network classifiers

A Martínez, G Webb, S Chen, N Zaidi

(2016), Vol. 17, Journal of Machine Learning Research, C1-1

journal article

Artificial neural network: Deep or broad? An empirical study

Nayyar Zaidi, Nian Liu

(2016), Vol. 9992, pp. 535-541, AI 2016: Advances in Artificial Intelligence 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings, Hobart, Tasmania, E1-1

conference

Preconditioning an artificial neural network using naive bayes

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2016), Vol. 9651, pp. 341-353, PAKDD 2016 : Advances in knowledge discovery and data mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings., Auckland, New Zealand, E1-1

conference
2014

Naive-bayes inspired effective pre-conditioner for speeding-up logistic regression

Nayyar Zaidi, Mark Carman, Jesus Cerquides, Geoffrey Webb

(2014), pp. 1097-1102, ICDM 2014 : Proceedings of the 14th IEEE International Conference on Data Mining, Shenzhen, China, E1-1

conference
2013

Alleviating naive bayes attribute independence assumption by attribute weighting

Nayyar Zaidi, Jesus Cerquides, Mark Carman, Geoff Webb

(2013), Vol. 14, pp. 1947-1988, Journal of machine learning research, Cambridge, Mass., C1-1

journal article

Fast and efficient single pass bayesian learning

Nayyar Zaidi, Geoff Webb

(2013), Vol. 7818, pp. 149-160, PAKDD 2013 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 17th Pacific-Asia Conference, Gold Coast, Qld. Part 1, Gold Coast, Qld., E1-1

conference
2010

Local adaptive SVM for object recognition

N Zaidi, D Squire

(2010), pp. 196-201, Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010, E1-1

conference

SVMs and data dependent distance metric

N Zaidi, D Squire

(2010), International Conference Image and Vision Computing New Zealand, E1-1

conference

Database normalization as a by-product of minimum message length inference

D Dowe, N Zaidi

(2010), Vol. 6464 LNAI, pp. 82-91, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Univ S Australia, Adelaide, AUSTRALIA, E1-1

conference

BoostML: An adaptive metric learning for nearest neighbor classification

N Zaidi, D Squire, D Suter

(2010), Vol. 6118 LNAI, pp. 142-149, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hyderabad, INDIA, E1-1

conference

A gradient-based metric learning algorithm for k-NN classifiers

N Zaidi, D Squire, D Suter

(2010), Vol. 6464 LNAI, pp. 194-203, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Univ S Australia, Adelaide, AUSTRALIA, E1-1

conference
2008

Object detection using a cascade of classifiers

N Zaidi, D Suter

(2008), pp. 600-605, Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, E1-1

conference

Confidence rated boosting algorithm for generic object detection

N Zaidi, D Suter

(2008), pp. 3221-3224, Proceedings - International Conference on Pattern Recognition, FL, Tampa, E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

Discretization Inspired Defence Methods for Adversarial Attacks on Cyber Security Domain Data.

Dr Nayyar Zaidi

Department of Defence

  • 2022: $30,000

Other Funding Sources

The Application of Artificial Intelligence for Satellite Enterprise Management.

Prof Jinho Choi, Dr Nayyar Zaidi, Dr Jihong Park

Cooperative Research Centres (CRC) Projects Program, Department of Industry, Innovation and Science.

  • 2022: $19,312
  • 2021: $75,000

Augmenting Cyber Defence Capability (ACDC).

Prof Gang Li, Dr Luxing Yang, Dr Nayyar Zaidi, Dr Ye Zhu, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Robin Ram Mohan Doss, Dr Thanh Thi Nguyen

Cyber Security Research Centre Limited

  • 2023: $156,000
  • 2022: $32,199

Supervisions

Associate Supervisor
2024

Akib Mashrur

Thesis entitled: Towards a Robust Deep Learning Framework for Uncertainty Quantification

Doctor of Philosophy (Information Technology), School of Information Technology

2023

Shu Li

Thesis entitled: Detection and Prevention of Harmful Information Propagation in Cyberspace

Doctor of Philosophy (Information Technology), School of Information Technology

2021

Muhmmad Abbas Kazim Al-Khiza'ay

Thesis entitled: Personalized Review Selection Using Micro-Reviews in Social Networks

Doctor of Philosophy (Information Technology), School of Information Technology