Self-supervised Continual Learning for Object Recognition in Image Sequences. - Ruiqi Dai; Mathieu Lefort; Frédéric Armetta; Mathieu Guillermin; Stefan Duffner (ICONIP (5), 2021)

Novelty detection for unsupervised continual learning in image sequences. - Ruiqi Dai; Mathieu Lefort; Frédéric Armetta; Mathieu Guillermin; Stefan Duffner (ICTAI, 2021)

Continual class-incremental learning for autonomous object recognition in image sequences. (Apprentissage incrémental de classe continu pour la reconnaissance autonome d'objets dans des séquences d'images). - Ruiqi Dai (2022)

High-Fidelity S-Parameter Prediction Using Transfer Learning Based Encoder-Decoder Model. - Ruiqi Dai; Yuhao Xu; Jiarui Qiu; Hanzhi Ma; Er-Ping Li 001 (EMC Compo, 2024)

Low-Frequency Model Prediction of Acoustic Impedance Based on Spatiotemporal Gated Recurrent Unit Fusion Network. - Ruiqi Dai; Danping Cao; Qiang Liu (IEEE Trans. Geosci. Remote. Sens., 2025)