Task-Agnostic Continual Learning Using Base-Child Classifiers. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Qiao ZhongZheng; Ponnuthurai N. Suganthan; Savitha Ramasamy; Arulmurugan Ambikapathi (ICIP, 2021)

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. - Qiao ZhongZheng; Minghui Hu 001; Xudong Jiang 001; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2023)

Online Continual Learning for Control of Mobile Robots. - Andriy Sarabakha; Qiao ZhongZheng; Savitha Ramasamy; Ponnuthurai Nagaratnam Suganthan (IJCNN, 2023)

Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. - Zhongzheng Qiao; Xuan Huy Pham; Savitha Ramasamy; Xudong Jiang 001; Erdal Kayacan; Andriy Sarabakha (IJCNN, 2024)

Class-incremental Learning for Time Series: Benchmark and Evaluation. - Zhongzheng Qiao; Quang Pham; Zhen Cao; Hoang H. Le; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (KDD, 2024)

CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification. - Romain Meunier; Farah Benamara; Véronique Moriceau; Zhongzheng Qiao; Savitha Ramasamy (ACL (1), 2025)

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. - Zhongzheng Qiao; Chenghao Liu; Yiming Zhang; Ming Jin 005; Quang Pham; Qingsong Wen; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (CoRR, 2025)