Yunlong Jiao
Cited by
Cited by
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
The Kendall and Mallows kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 1935-1944, 2015
Universal neural vocoding with parallel wavenet
Y Jiao, A Gabryś, G Tinchev, B Putrycz, D Korzekwa, V Klimkov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Controlling the distance to a kemeny consensus without computing it
Y Jiao, A Korba, E Sibony
International Conference on Machine Learning, 2971-2980, 2016
Trans-Encoder: Unsupervised sentence-pair modelling through self-and mutual-distillations
F Liu, Y Jiao, J Massiah, E Yilmaz, S Havrylov
arXiv preprint arXiv:2109.13059, 2021
The weighted kendall and high-order kernels for permutations
Y Jiao, JP Vert
International Conference on Machine Learning, 2314-2322, 2018
Kernel multitask regression for toxicogenetics
E Bernard, Y Jiao, E Scornet, V Stoven, T Walter, JP Vert
Molecular informatics 36 (10), 1700053, 2017
Signaling pathway activities improve prognosis for breast cancer
Y Jiao, MR Hidalgo, C Çubuk, A Amadoz, J Carbonell-Caballero, JP Vert, ...
BioRxiv, 132357, 2017
PARS: Pseudo-label aware robust sample selection for learning with noisy labels
A Goel, Y Jiao, J Massiah
arXiv preprint arXiv:2201.10836, 2022
Rethinking Semi-supervised Learning with Language Models
Z Shi, F Tonolini, N Aletras, E Yilmaz, G Kazai, Y Jiao
arXiv preprint arXiv:2305.13002, 2023
Just Mix Once: Mixing Samples with Implicit Group Distribution
G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
A Gabryś, Y Jiao, V Klimkov, D Korzekwa, R Barra-Chicote
arXiv preprint arXiv:2106.08649, 2021
Failure state prediction for automated analyzers for analyzing a biological sample
F Heinemann, S Kobel, S Dahlmanns, JP Vert, Y Jiao
US Patent App. 16/416,844, 2019
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
Y Feng, Y Jiao, A Prasad, N Aletras, E Yilmaz, G Kazai
arXiv preprint arXiv:2305.16798, 2023
Just Mix Once: Worst-group Generalization by Group Interpolation
G Giannone, S Havrylov, J Massiah, E Yilmaz, Y Jiao
arXiv preprint arXiv:2210.12195, 2022
Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer
Y Jiao
Université Paris sciences et lettres, 2017
Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein
Y Jiao
Paris Sciences et Lettres (ComUE), 2017
Weak Supervision Variational Auto-Encoder
F Tonolini, N Aletras, Y Jiao, G Kazai
Supplementary Material to “The Kendall and Mallows Kernels for Permutations”
Y Jiao, JP Vert
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