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Yingtian Zou
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2020 – today
- 2024
- [c7]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR 2024 - [i8]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR abs/2403.06392 (2024) - [i7]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. CoRR abs/2405.08586 (2024) - 2023
- [c6]Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi:
MixupE: Understanding and improving Mixup from directional derivative perspective. UAI 2023: 2597-2607 - 2022
- [j1]Xiaoguang Tu
, Yingtian Zou, Jian Zhao
, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang
, Guodong Guo
, Zhifeng Li
, Wei Liu
, Jiashi Feng
:
Image-to-Video Generation via 3D Facial Dynamics. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1805-1819 (2022) - [c5]Yingtian Zou, Fusheng Liu
, Qianxiao Li:
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate. ICLR 2022 - 2021
- [c4]Min Min Chan, Amanda Yun Rui Lam
, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee:
Recurrent Temporal Point Process Network for First and Repeated Clinical Events. ICTAI 2021: 153-160 - [c3]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [i6]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. CoRR abs/2105.14678 (2021)
2010 – 2019
- 2019
- [c2]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV 2019: 9196-9205 - [i5]Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. CoRR abs/1901.01649 (2019) - [i4]Yingtian Zou, Jiashi Feng:
Hierarchical Meta Learning. CoRR abs/1904.09081 (2019) - [i3]Yuan Hu, Yingtian Zou, Jiashi Feng:
Panoptic Edge Detection. CoRR abs/1906.00590 (2019) - [i2]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR abs/1908.06391 (2019) - 2018
- [c1]Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. ACCV (6) 2018: 277-292 - [i1]Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou:
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification. CoRR abs/1807.05799 (2018)
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