Aojun Lu

According to our database1, Aojun Lu authored at least 11 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training.
CoRR, February, 2026

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving.
CoRR, January, 2026

Adapt Before Continual Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning.
CoRR, August, 2025

Position: Continual Learning Benefits from An Evolving Population over An Unified Model.
CoRR, February, 2025

Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Make Continual Learning Stronger via C-Flat.
CoRR, 2024

Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models.
CoRR, 2024

Make Continual Learning Stronger via C-Flat.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Neural Networks for Continual Learning: An Architectural Perspective.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024


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