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Junjie Yang

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End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching

Feb 23, 2024
Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

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Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization

Feb 22, 2024
Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang

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A Large-scale Empirical Study on Improving the Fairness of Deep Learning Models

Jan 08, 2024
Junjie Yang, Jiajun Jiang, Zeyu Sun, Junjie Chen

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Rethinking PGD Attack: Is Sign Function Necessary?

Dec 03, 2023
Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang

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Meta ControlNet: Enhancing Task Adaptation via Meta Learning

Dec 03, 2023
Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang

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EyeLS: Shadow-Guided Instrument Landing System for Intraocular Target Approaching in Robotic Eye Surgery

Nov 15, 2023
Junjie Yang, Zhihao Zhao, Siyuan Shen, Daniel Zapp, Mathias Maier, Kai Huang, Nassir Navab, M. Ali Nasseri

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Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance

Sep 28, 2023
Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc

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M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

Feb 28, 2023
Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

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Learning to Generalize Provably in Learning to Optimize

Feb 22, 2023
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

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The Brain-Inspired Cooperative Shared Control for Brain-Machine Interface

Oct 18, 2022
Shengjie Zheng, Ling Liu, Junjie Yang, Lang Qian, Gang Gao, Xin Chen, Wenqi Jin, Chunshan Deng, Xiaojian Li

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