Improving shallow neural network by compressing deep neural network. - Marcus de Carvalho; Mahardhika Pratama (SSCI, 2018)

ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama; Marcus de Carvalho; Renchunzi Xie; Edwin Lughofer; Jie Lu 001 (CIKM, 2019)

Reinforced Continual Learning for Graphs. - Appan Rakaraddi; Siew-Kei Lam; Mahardhika Pratama; Marcus de Carvalho (CIKM, 2022)

Class-Incremental Learning via Knowledge Amalgamation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Yajuan Sun (ECML/PKDD (3), 2022)

ACDC: Online unsupervised cross-domain adaptation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Edward Kien Yee Yapp (Knowl. Based Syst., 2022)

Autonomous Cross Domain Adaptation Under Extreme Label Scarcity. - Weiwei Weng; Mahardhika Pratama; Choiru Za'in; Marcus de Carvalho; Appan Rakaraddi; Andri Ashfahani; Edward Kien Yee Yapp (IEEE Trans. Neural Networks Learn. Syst., 2023)

Towards Cross-Domain Continual Learning. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Haoyan Chua; Edward Kien Yee Yapp (ICDE, 2024)

Graph Mining under Data scarcity. - Appan Rakaraddi; Siew-Kei Lam; Mahardhika Pratama; Marcus de Carvalho (IJCNN, 2024)