Publications
5. Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters
[paper]
Danni Peng, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
To appear in Proceedings of IEEE Conference on Artificial Intelligence (IEEE CAI), 2024
4. Clustered Task-Aware Meta-Learning by Learning from Learning Paths
[paper][code][bibtex]
Danni Peng, Sinno Jialin Pan
In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
3. Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
[paper]
Danni Peng, Sinno Jialin Pan
arXiv preprint, 2022
2. Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
[paper][code][bibtex]
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
In Proceedings of the 15th ACM Conference on Recommender Systems (RecSys), 2021
1. Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
[paper][code][bibtex]
Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Doctoral Thesis
Learning to Generalize to New Tasks/Domains with Limited Data
[link]
Services
Journal Reviewer
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
Artificial Intelligence (AIJ)
Conference Reviewer
The 40th International Conference on Machine Learning (ICML 2023)
The 11th International Conference on Learning Representations (ICLR 2023)
The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022)
Teaching
CZ4041/CE4041: Machine Learning, NTU (AY 2020-21 Sem 2, AY 2021-22 Sem 2)
CZ3005: Artificial Intelligence, NTU (AY 2020-21 Sem 1)
CZ1015/CE1015: Introduction to Data Science and Artificial Intelligence, NTU (AY 2019-20 Sem 2)