Colour Image Texture Analysis: Dependence on Colour Spaces. - Maneesha Singh; Markos Markou; Peng Wang 002 (ICPR (1), 2002)

Spatial Texture Analysis: A Comparative Study. - Maneesha Singh; Peng Wang 002 (ICPR (1), 2002)

Feature Selection for Face Recognition Based on Data Partitioning. - Peng Wang 002; Maneesha Singh; Markos Markou (ICPR (1), 2002)

Texture Algorithms: Performance Variability Across Data Sets. - Maneesha Singh; Peng Wang 002 (Cybern. Syst., 2003)

Explosives detection systems (EDS) for aviation security. - Peng Wang 002; Maneesha Singh (Signal Process., 2003)

A Comparison of Image Enhancement Techniques for Explosive Detection. - Maneesha Singh; Peng Wang 002 (ICPR (4), 2004)

A Comparison of Texture Teatures for the Classification of Rock Images. - Maneesha Singh; Akbar Javadi; Peng Wang 002 (IDEAL, 2004)

A Mixture of Experts Image Enhancement Scheme for CCTV Images. - Maneesha Singh; Peng Wang 002; Matthew Porter (IDEAL, 2004)

On the optimality of image processing pipeline. - Peng Wang 002; Maneesha Singh (Pattern Recognit., 2004)

A knowledge-based framework for image enhancement in aviation security. - Maneesha Singh; Peng Wang 002; Derek Partridge (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Multiple Particle Tracking for Live Cell Imaging with Green Fluorescent Protein (GFP) Tagged Videos. - Peng Wang 002; Harish Bhaskar; Jeremy Tavare; Gavin Welsh (ICAPR (2), 2005)

Image Enhancement Optimization for Hand-Luggage Screening at Airports. - Maneesha Singh; Peng Wang 002 (ICAPR (2), 2005)

Parameter Optimization for Image Segmentation Algorithms: A Systematic Approach. - Maneesha Singh; Peng Wang 002; Derek Partridge (ICAPR (2), 2005)

A dynamic classifier selection and combination approach to image region labelling. - Peng Wang 002; Maneesha Singh (Signal Process. Image Commun., 2005)

Partial Object Recognition for Improving Novelty Detection in Videos. - Maneesha Singh; Peng Wang 002; Markos Markou (IJCNN, 2006)

Visual Information Retrieval: Minerva Video Benchmark. - Wei Ren; Paul Weal; Maneesha Singh; Peng Wang 002 (SPPRA, 2006)

Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. - Peng Wang 002; Varun Kumar; Maneesha Singh (SPPRA, 2006)

Machine learning in bioinformatics: A brief survey and recommendations for practitioners. - Harish Bhaskar; David C. Hoyle; Peng Wang 002 (Comput. Biol. Medicine, 2006)

Neural network analysis of MINERVA scene image benchmark. - Markos Markou; Maneesha Singh; Peng Wang 002 (Neural Comput. Appl., 2006)

Live cell imaging: a computational perspective. - Harish Bhaskar; Peng Wang 002 (J. Real Time Image Process., 2007)

Recent developments in exponential random graph (p*) models for social networks. - Garry Robins; Tom A. B. Snijders; Peng Wang 002; Mark S. Handcock; Philippa Pattison (Soc. Networks, 2007)

A Novel Approach to Spatio-Temporal Video Analysis and Retrieval. - Peng Wang 002; Wei Ren; Maneesha Singh (MIRAGE, 2009)

Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks. - Garry Robins; Pip Pattison; Peng Wang 002 (Soc. Networks, 2009)

Exponential random graph (p∗) models for affiliation networks. - Peng Wang 002; Ken Sharpe; Garry Robins; Philippa Pattison (Soc. Networks, 2009)

Univariate and multivariate models of positive and negative networks: Liking, disliking, and bully-victim relationships. - Gijs Huitsing; Marijtje A. J. Van Duijn; Tom A. B. Snijders; Peng Wang 002; Miia Sainio; Christina Salmivalli; René Veenstra (Soc. Networks, 2012)

Exponential random graph models for affiliation networks. - Peng Wang 002 (2012)

The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports. - Kayo Fujimoto; Peng Wang 002; Thomas W. Valente (Netw. Sci., 2013)

Bayesian analysis for partially observed network data, missing ties, attributes and actors. - Johan H. Koskinen; Garry Robins; Peng Wang 002; Philippa Pattison (Soc. Networks, 2013)

Modelling a disease-relevant contact network of people who inject drugs. - David A. Rolls; Peng Wang 002; Rebecca Jenkinson; Philippa E. Pattison; Garry Robins; Rachel Sacks-Davis; Galina Daraganova; Margaret Hellard; Emma McBryde (Soc. Networks, 2013)

Exponential random graph model specifications for bipartite networks - A dependence hierarchy. - Peng Wang 002; Philippa Pattison; Garry Robins (Soc. Networks, 2013)

Exponential random graph models for multilevel networks. - Peng Wang 002; Garry Robins; Philippa Pattison; Emmanuel Lazega (Soc. Networks, 2013)

Board interlocking network and the design of executive compensation packages. - Ling Heng Henry Wong; André F. Gygax; Peng Wang 002 (Soc. Networks, 2015)

Snowball sampling for estimating exponential random graph models for large networks. - Alex D. Stivala; Johan H. Koskinen; David A. Rolls; Peng Wang 002; Garry Robins (Soc. Networks, 2016)

Social selection models for multilevel networks. - Peng Wang 002; Garry Robins; Philippa Pattison; Emmanuel Lazega (Soc. Networks, 2016)

External exposure, boundary-spanning, and opinion leadership in remote communities: A network experiment. - Petr Matous; Peng Wang 002 (Soc. Networks, 2019)

Using Sampled Network Data With The Autologistic Actor Attribute Model. - Alex D. Stivala; H. Colin Gallagher; David A. Rolls; Peng Wang 002; Garry L. Robins (CoRR, 2020)

Who benefits from network intervention programs? TERGM analysis across ten Philippine low-income communities. - Petr Matous; Peng Wang 002; Lincoln Lau (Soc. Networks, 2021)

Perceived friendship network of socially anxious adolescent girls. - Maedeh Aboutalebi Karkavandi; Peng Wang 002; Dean Lusher; Brock Bastian; Vicki McKenzie; Garry Robins (Soc. Networks, 2022)

Multilevel network interventions: Goals, actions, and outcomes. - Garry Robins; Dean Lusher; Chiara Broccatelli; David A. Bright; H. Colin Gallagher; Maedeh Aboutalebi Karkavandi; Petr Matous; James A. Coutinho; Peng Wang 002; Johan H. Koskinen; Bopha Roden; Giovanni Radhitio Putra Sadewo (Soc. Networks, 2023)

Network patterns of university-industry collaboration: A case study of the chemical sciences in Australia. - H. Colin Gallagher; Dean Lusher; Johan H. Koskinen; Bopha Roden; Peng Wang 002; Aaron Gosling; Anastasios Polyzos; Martina Stenzel; Sarah Hegarty; Thomas H. Spurling; Gregory W. Simpson (Scientometrics, 2023)

ALAAMEE: Open-source software for fitting autologistic actor attribute models. - Alex D. Stivala; Peng Wang 002; Alessandro Lomi (CoRR, 2024)

Exponential random graph models and pendant-triangle statistics. - Philippa E. Pattison; Garry L. Robins; Tom A. B. Snijders; Peng Wang 002 (Soc. Networks, 2024)

Improving exponential-family random graph models for bipartite networks. - Alex D. Stivala; Peng Wang 002; Alessandro Lomi (J. Complex Networks, 2025)