Solving Regression Problems Using Competitive Ensemble Models. - Yakov Frayman; Bernard F. Rolfe; Geoffrey I. Webb (Australian Joint Conference on Artificial Intelligence, 2002)

Energy Efficient, Fully-Connected Mesh Networks for High Speed Applications. - Samitha W. Ekanayake; Pubudu N. Pathirana; Bernard F. Rolfe; Marimuthu Palaniswami (VTC Spring, 2008)

Second-Order Cyclostationary Statistics-Based Blind Source Extraction From Convolutional Mixtures. - Yong Xiang 001; Dezhong Peng; Indivarie Ubhayaratne; Bernard Rolfe; Michael Pereira (IEEE Access, 2017)

Optimizing 3D Self-Supporting Topologies for Additive Manufacturing. - Yun-Fei Fu; Kazem Ghabraie; Bernard Rolfe; Yanan Wang; Ngai Sum Louis Chiu; Xiaodong Huang 003 (ICCMS, 2020)

SEMDOT: Smooth-edged material distribution for optimizing topology algorithm. - Yun-Fei Fu; Bernard Rolfe; Ngai Sum Louis Chiu; Yanan Wang; Xiaodong Huang 003; Kazem Ghabraie (Adv. Eng. Softw., 2020)

On Non-Penalization SEMDOT Using Discrete Variable Sensitivities. - Yun-Fei Fu; Kai Long; Bernard Rolfe (J. Optim. Theory Appl., 2023)

Random screening-based feature aggregation for point cloud denoising. - Weijia Wang; Wei Pan 010; Xiao Liu 004; Kui Su; Bernard Rolfe; Xuequan Lu (Comput. Graph., 2023)

Segmentation-driven feature-preserving mesh denoising. - Weijia Wang; Wei Pan 010; Chaofan Dai; Richard Dazeley; Lei Wei 002; Bernard Rolfe; Xuequan Lu (Vis. Comput., 2024)

Correction: On Non-Penalization SEMDOT Using Discrete Variable Sensitivities. - Yun-Fei Fu; Kai Long; Bernard Rolfe (J. Optim. Theory Appl., 2024)

Learning coupled Allen-Cahn and Cahn-Hilliard phase-field equations using Physics-informed neural operator(PINO). - Gaijinliu Gangmei; Santu Rana; Bernard Rolfe; Kishalay Mitra; Saswata Bhattacharyya (CoRR, 2025)