Presented paper 'Memory Head for Pre-Trained Backbones in Continual Learning' at the 3rd Conference on Lifelong Learning Agents (CoLLAs) in July 2024
Paper 'Neural Time-Reversed Generalized Riccati Equation' accepted at AAAI 2024 (December 2023)
Paper 'Continual Learning with Pretrained Backbones by Tuning in the Input Space' accepted at IJCNN 2023 (June 2023)
Authored book chapter 'A Lagrangian framework for learning in graph neural networks' (January 2024)
Proposed Lagrangian Propagation Graph Neural Networks based on constraint optimization in the Lagrangian framework, eliminating the need for separate iterative state convergence
Contributed to SAILenv, a Unity3D-powered virtual environment with pixel-wise annotations, optical flow, depth, and a Python API for integration with learning frameworks