I am a final-year Ph.D. student at the School of Computing, National University of Singapore. Previously, I obtained my B.S. in Software Engineering from Huazhong University of Science and Technology.

I am interested in the following research topics. Any practical ideas aiming to advance AGI from similar aspects are also welcomed. Feel free to reach out and have a chat!

Research interests

I am currently striving to (understand, interpret, improve) the (generalization, optimization, efficiency) of

• Transferable machine learning: Meta-learning, Domain generalization, Imbalanced learning, etc.
• General techniques for LLMs: Pre-training, Scaling, Planning, etc.

Selected Publications | Full papers

(* indicates equal contribution)

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness [Paper] [Poster]
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
12th International Conference on Learning Representations, ICLR 2024 (Spotlight, acceptance rate 5%)

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective [Codes] [Paper] [Slides] [Video] [Spotlight]
Yingtian Zou*, Vikas Verma*, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
39th Conference on Uncertainty in Artificial Intelligence, UAI 2023 (Best Student Paper)

Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate [Paper] [Slides]
Yingtian Zou, Fusheng Liu, Qianxiao Li
10th International Conference on Learning Representations, ICLR 2022

Panet: Few-shot image semantic segmentation with prototype alignment [Codes] [Paper] [Video]
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
proceedings of the IEEE/CVF international conference on computer vision, ICCV 2019 (Oral, acceptance rate 4.3%)

Awards

UAI Best Student Paper Award, 2023

Google Travel Grant, ICLR 2024

Academic Services

Conference Reviewers: IJCAI 2024, AAAI 2020/2021/2023, NeurIPS 2023, ICML 2023/2024, ICLR 2022/2024

Journal Reviewers: TPAMI, Pattern Recognition, IEEE Access