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Junjie Yang

Postdoc
Sorbonne University & Califrais
junjie.yang (at) sorbonne-universite.fr


Publications

  1. Preprint
    Hierarchical Time Series Forecasting with Operator-Valued Kernels
    Junjie Yang, Adeline Fermanian, Claire Boyer, Gérard Biau
    Preprint
    PDF

  2. Preprint
    Learning Differentiable Surrogate Losses for Structured Prediction
    Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc
    Preprint
    PDF

  3. NeurIPS 2024
    Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
    Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
    The Thirty-Eighth Annual Conference on Neural Information Processing Systems
    PDF Code

  4. ECML PKDD 2024
    Deep Sketched Output Kernel Regression for Structured Prediction
    Tamim El Ahmad*, Junjie Yang*, Pierre Laforgue, Florence d'Alché-Buc
    Joint European Conference on Machine Learning and Knowledge Discovery in Databases
    PDF Code Slides

  5. TMLR
    Exploiting Edge Features in Graph-based Learning with Fused Network Gromov-Wasserstein Distance
    Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc
    Transactions on Machine Learning Research
    PDF Code Slides Poster BibTex

  6. AAAI-21 SDU Workshop
    Multi-span Style Extraction for Generative Reading Comprehension
    Junjie Yang, Zhuosheng Zhang, Hai Zhao
    The AAAI-21 Workshop on Scientific Document Understanding
    PDF Code

  7. AAAI-21
    Retrospective Reader for Machine Reading Comprehension
    Zhuosheng Zhang, Junjie Yang, Hai Zhao
    The Thirty-Fifth AAAI Conference on Artificial Intelligence
    PDF Code


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