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Yilin Lyu
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2020 – today
- 2023
- [j3]Yilin Lyu, Liping Jing, Jiaqi Wang, Mingzhe Guo, Xinyue Wang, Jian Yu:
Siamese transformer with hierarchical concept embedding for fine-grained image recognition. Sci. China Inf. Sci. 66(3) (2023) - [j2]Xinyue Wang, Liping Jing
, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu
, Jian Yu, Tieyong Zeng
:
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2897-2912 (2023) - [c7]Yilin Lyu, Xin Liu, Mingyang Song
, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. IJCAI 2023: 4028-4036 - [c6]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. NeurIPS 2023 - [c5]Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu:
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) 2023: 421-437 - [c4]Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song
, Liping Jing, Tieyong Zeng, Jian Yu:
vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) 2023: 454-470 - [i3]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. CoRR abs/2304.14618 (2023) - [i2]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. CoRR abs/2310.08855 (2023) - 2022
- [c3]Mingzhe Guo, Zhipeng Zhang, Heng Fan
, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. IJCAI 2022: 927-934 - [i1]Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. CoRR abs/2201.02526 (2022) - 2021
- [j1]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo
, Tieyong Zeng:
Smooth Soft-Balance Discriminative Analysis for imbalanced data. Knowl. Based Syst. 228: 106604 (2021) - 2020
- [c2]Xinyue Wang, Yilin Lyu, Liping Jing:
Deep Generative Model for Robust Imbalance Classification. CVPR 2020: 14112-14121
2010 – 2019
- 2018
- [c1]Yilin Lyu, Wei Jiang, Yaniun Lin, Laszlo Voros, Miao Zhang, Boris Mueller, Borys Mychalczak, Yulin Song:
Motion-Blind Blur Removal for CT Images with Wasserstein Generative Adversarial Networks. CISP-BMEI 2018: 1-5
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