Search Results - Lin Bo

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  1. 1
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    Deep Learning Method for Computing Committor Functions with Adaptive Sampling by Lin, Bo, Ren, Weiqing

    Published 2024
    Fuente: arXiv
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  2. 2
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    Sparse identification of quasipotentials via a combined data-driven method by Lin, Bo, Belardinelli, Pierpaolo

    Published 2024
    Fuente: arXiv
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  3. 3
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    A Lawson-time-splitting extended Fourier pseudospectral method for the Gross-Pitaevskii equation with time-dependent low regularity potential by Lin, Bo, Ma, Ying, Wang, Chushan

    Published 2024
    Fuente: arXiv
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  4. 4
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    Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning by Lin, Bo, Zhong, Yangzheng, Ren, Weiqing

    Published 2024
    Fuente: arXiv
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  5. 5
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    Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction by Lin, Bo-Yi, Lin, Kai Chun

    Published 2024
    Fuente: arXiv
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  6. 6
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    Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles by Lin, Kai Chun, Lin, Bo-Yi

    Published 2024
    Fuente: arXiv
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  7. 7
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    Bulk photovoltaic effects in the Haldane model by Lin, Bo-Xin, Hsu, Hsiu-Chuan

    Published 2025
    Fuente: arXiv
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  8. 8
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    HEATACO: Heatmap-Guided Ant Colony Decoding for Large-Scale Travelling Salesman Problems by Lin, Bo-Cheng, Mei, Yi, Zhang, Mengjie

    Published 2026
    Fuente: arXiv
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  9. 9
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    Machine Learning for Two-Stage Graph Sparsification for the Travelling Salesman Problem by Lin, Bo-Cheng, Mei, Yi, Zhang, Mengjie

    Published 2026
    Fuente: arXiv
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  10. 10
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    Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design by Chan, Timothy C. Y., Lin, Bo, Saxe, Shoshanna

    Published 2022
    Fuente: arXiv
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  11. 11
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    AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing by Lin, Bo, Saxe, Shoshanna, Chan, Timothy C. Y.

    Published 2023
    Fuente: arXiv
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  12. 12
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    An extended Fourier pseudospectral method for the Gross-Pitaevskii equation with low regularity potential by Bao, Weizhu, Lin, Bo, Ma, Ying, Wang, Chushan

    Published 2023
    Fuente: arXiv
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  13. 13
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    Conformal Inverse Optimization by Lin, Bo, Delage, Erick, Chan, Timothy C. Y.

    Published 2024
    Fuente: arXiv
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  14. 14
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    Time-dependent Regularized 13-Moment Equations with Onsager Boundary Conditions in the Linear Regime by Lin, Bo, Wang, Haoxuan, Yang, Siyao, Cai, Zhenning

    Published 2024
    Fuente: arXiv
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  15. 15
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    There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates by Lin, Bo, Wang, Shangwen, Chen, Liqian, Mao, Xiaoguang

    Published 2024
    Fuente: arXiv
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  16. 16
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    Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation by Lin, Bo, Wang, Shangwen, Chen, Liqian, Mao, Xiaoguang

    Published 2025
    Fuente: arXiv
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  17. 17
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    Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation by Li, Tian, Lin, Bo, Wang, Shangwen, Tan, Yusong

    Published 2025
    Fuente: arXiv
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  18. 18
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    Global well-posedness of the linearized R13 moment equations with Onsager boundary conditions by Hu, Shuang, Lin, Bo, Liu, Huini, Cai, Zhenning

    Published 2026
    Fuente: arXiv
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  19. 19
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    Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC by Lin, Bo, Zhao, Chuanbin, Gao, Feifei, Li, Geoffrey Ye

    Published 2024
    Fuente: arXiv
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  20. 20
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    Tropical Fréchet Means: a polyhedral approach to exact optimization by Ferry, Kamillo, Lin, Bo, Améndola, Carlos, Monod, Anthea, Yoshida, Ruriko

    Published 2025
    Fuente: arXiv
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