Search Results - Wang, Yezhen

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  1. 1
    A prognostic model of idiopathic pulmonary fibrosis constructed based on macrophage and mitochondria-related genes

    A prognostic model of idiopathic pulmonary fibrosis constructed based on macrophage and mitochondria-related genes by Bao, Yu, Yang, Shiyuan, Zhao, Hailan, Wang, Yezhen, Li, Ke, Liu, Xue, Zhang, Wei, Zhu, Xue

    Published in BMC pulmonary medicine
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  2. 2
    Perspective-Guided Convolution Networks for Crowd Counting

    Perspective-Guided Convolution Networks for Crowd Counting by Yan, Zhaoyi, Yuan, Yuchen, Zuo, Wangmeng, Tan, Xiao, Wang, Yezhen, Wen, Shilei, Ding, Errui

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  3. 3
    Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

    Energy-Based Open-World Uncertainty Modeling for Confidence Calibration by Wang, Yezhen, Li, Bo, Che, Tong, Zhou, Kaiyang, Liu, Ziwei, Li, Dongsheng

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  4. 4
    Dual Metric Discriminator for Open Set Video Domain Adaptation

    Dual Metric Discriminator for Open Set Video Domain Adaptation by Wang, Yatian, Song, Xiaolin, Wang, Yezhen, Xu, Pengfei, Hu, Runbo, Chai, Hua

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  5. 5
    Invariant Information Bottleneck for Domain Generalization

    Invariant Information Bottleneck for Domain Generalization by Li, Bo, Shen, Yifei, Wang, Yezhen, Zhu, Wenzhen, Reed, Colorado, Li, Dongsheng, Keutzer, Kurt, Zhao, Han

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  6. 6
    ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

    ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation by Zhao, Sicheng, Wang, Yezhen, Li, Bo, Wu, Bichen, Gao, Yang, Xu, Pengfei, Darrell, Trevor, Keutzer, Kurt

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  7. 7
    Deep Learning-based Multi-task Network for Intelligent Management of Garbage Deposit Points

    Deep Learning-based Multi-task Network for Intelligent Management of Garbage Deposit Points by Wang, Yezhen, Zheng, Haobin, Mao, Changjiang, Zhang, Jing, Ke, Xiao

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  8. 8
    Understanding Training-free Diffusion Guidance: Mechanisms and Limitations

    Understanding Training-free Diffusion Guidance: Mechanisms and Limitations by Shen, Yifei, Jiang, Xinyang, Wang, Yezhen, Yang, Yifan, Han, Dongqi, Li, Dongsheng

    Published in arXiv.org
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  9. 9
    Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

    Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs by Hu, Zheyuan, Yang, Zhouhao, Wang, Yezhen, Karniadakis, George Em, Kawaguchi, Kenji

    Published in arXiv.org
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  10. 10
    Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization

    Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization by Shen, Qianli, Wang, Yezhen, Yang, Zhouhao, Li, Xiang, Wang, Haonan, Zhang, Yang, Scarlett, Jonathan, Zhu, Zhanxing, Kawaguchi, Kenji

    Published in arXiv.org
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  11. 11
    Sparse Mixture-of-Experts are Domain Generalizable Learners

    Sparse Mixture-of-Experts are Domain Generalizable Learners by Li, Bo, Shen, Yifei, Yang, Jingkang, Wang, Yezhen, Ren, Jiawei, Tong Che, Zhang, Jun, Liu, Ziwei

    Published in arXiv.org
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  12. 12
    SPE: Symmetrical Prompt Enhancement for Fact Probing

    SPE: Symmetrical Prompt Enhancement for Fact Probing by Li, Yiyuan, Tong Che, Wang, Yezhen, Jiang, Zhengbao, Xiong, Caiming, Chaturvedi, Snigdha

    Published in arXiv.org
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  13. 13
    Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One

    Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One by Wang, Yezhen, Tong Che, Li, Bo, Song, Kaitao, Pei, Hengzhi, Bengio, Yoshua, Li, Dongsheng

    Published in arXiv.org
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  14. 14
    Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

    Energy-Based Open-World Uncertainty Modeling for Confidence Calibration by Wang, Yezhen, Li, Bo, Tong Che, Zhou, Kaiyang, Liu, Ziwei, Li, Dongsheng

    Published in arXiv.org
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  15. 15
    Invariant Information Bottleneck for Domain Generalization

    Invariant Information Bottleneck for Domain Generalization by Li, Bo, Shen, Yifei, Wang, Yezhen, Zhu, Wenzhen, Reed, Colorado J, Zhang, Jun, Li, Dongsheng, Keutzer, Kurt, Zhao, Han

    Published in arXiv.org
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  16. 16
    Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

    Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation by Li, Bo, Wang, Yezhen, Zhang, Shanghang, Li, Dongsheng, Darrell, Trevor, Keutzer, Kurt, Zhao, Han

    Published in arXiv.org
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  17. 17
    ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

    ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation by Zhao, Sicheng, Wang, Yezhen, Li, Bo, Wu, Bichen, Gao, Yang, Xu, Pengfei, Darrell, Trevor, Keutzer, Kurt

    Published in arXiv.org
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  18. 18
    Perspective-Guided Convolution Networks for Crowd Counting

    Perspective-Guided Convolution Networks for Crowd Counting by Yan, Zhaoyi, Yuan, Yuchen, Zuo, Wangmeng, Tan, Xiao, Wang, Yezhen, Wen, Shilei, Ding, Errui

    Published in arXiv.org
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  19. 19
    Rethinking Distributional Matching Based Domain Adaptation

    Rethinking Distributional Matching Based Domain Adaptation by Li, Bo, Wang, Yezhen, Tong Che, Zhang, Shanghang, Zhao, Sicheng, Xu, Pengfei, Zhou, Wei, Bengio, Yoshua, Keutzer, Kurt

    Published in arXiv.org
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  20. 20
    Fabrication of a Molybdenum Dioxide/Multi-Walled Carbon Nanotubes Nanocomposite as an Anodic Modification Material for High-Performance Microbial Fuel Cells

    Fabrication of a Molybdenum Dioxide/Multi-Walled Carbon Nanotubes Nanocomposite as an Anodic Modification Material for High-Performance Microbial Fuel Cells by Ma, Jianchun, Wang, Lifang, Zhang, Yezhen, Jia, Jianfeng

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