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Weiyang Jin

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2020 – today

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2024
[c1]
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  - conf/iclr/LiJWWL0L24
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Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024
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  - journals/corr/abs-2402-09240
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  - https://dblp.org/rec/journals/corr/abs-2402-09240
Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024)
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  - journals/corr/abs-2410-06373
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Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR abs/2410.06373 (2024)
2023
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  - journals/corr/abs-2304-05198
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Weiyang Jin:
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios. CoRR abs/2304.05198 (2023)
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  - journals/corr/abs-2310-03013
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Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023)

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