Towards Computation of Novel Ideas from Corpora of Scientific Text. - Haixia Liu 001; James Goulding; Tim J. Brailsford (ECML/PKDD (2), 2015)

Automatic idea generation and analysis using NLP and ML techniques. - Haixia Liu 001 (2019)

Towards Idea Mining: Problem-Solution Phrase Extraction from Text. - Haixia Liu 001; Tim J. Brailsford; James Goulding; Tomas Maul; Tao Tan; Debanjan Chaudhuri (ADMA (2), 2022)

A Generalised Dropout Mechanism for Distributed Systems. - Larry Bull; Haixia Liu 001 (Artif. Life, 2023)

ResNet18 Performance: Impact of Network Depth and Image Resolution on Image Classification. - Haixia Liu 001; Tim J. Brailsford; Larry Bull (ICAAI, 2024)

Examining Neural Networks Through Architectural Variation Analysis for Image Classification. - Haixia Liu 001; Tim J. Brailsford; Larry Bull; James Goulding; Gavin Smith (ICISS, 2024)

Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification. - Haixia Liu 001; Tim J. Brailsford; James Goulding; Gavin Smith; Larry Bull (CoRR, 2024)

On Cooperative Coevolution and Global Crossover. - Larry Bull; Haixia Liu 001 (IEEE Trans. Evol. Comput., 2024)

Exploring filter placement in convolutional layer topologies based on ResNet for image classification. - Haixia Liu 001; Tim J. Brailsford; Larry Bull (Mach. Vis. Appl., 2025)