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Boyang Yu

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Benchmarking Large Language Model Volatility

Nov 26, 2023
Boyang Yu

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Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects

Nov 21, 2023
Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi Schambra, Carlos Fernandez-Granda

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Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events

Jul 12, 2023
Boyang Yu, Nikolai Hartmann, Luca Schinnerl, Thomas Kuhr

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Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability

Apr 01, 2023
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou

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4D Facial Expression Diffusion Model

Mar 29, 2023
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo

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Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning

Nov 24, 2021
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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IMBENS: Ensemble Class-imbalanced Learning in Python

Nov 24, 2021
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

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Deep Probability Estimation

Nov 21, 2021
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

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