About

Hi! My name is Danni Peng (彭丹昵).
I am currently a research scientist at the Institute of High Performance Computing (IHPC), A*STAR, Singapore. Before joining IHPC, I obtained my Ph.D. degree in Computer Science from Nanyang Technological University (NTU), under the supervision of Prof. Sinno Jialin Pan and sponsored by the Alibaba-NTU Talent Programme. Previously, I received my B.Eng. (Hons.) degree from National University of Singapore (NUS).
My research focuses on multi-task/multi-distribution learning scenarios, including meta-learning, continual learning, federated learning, and domain generalization.

Research

Publications

1. Clustered Task-Aware Meta-Learning by Learning from Learning Paths
[paper][code][bibtex]
Danni Peng, Sinno Jialin Pan
IEEE TPAMI 2023

2. Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
[paper]
Danni Peng, Sinno Jialin Pan
arXiv preprint 2022

3. Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
[paper][code][bibtex]
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
RecSys 2021

4. Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update
[paper][code][bibtex]
Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang
AAAI 2021 (Student Abstract)

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)