Controlling the distance to a Kemeny consensus without computing it. - Yunlong Jiao; Anna Korba; Eric Sibony (ICML, 2016)

Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. (Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein). - Yunlong Jiao (2017)

The Weighted Kendall and High-order Kernels for Permutations. - Yunlong Jiao; Jean-Philippe Vert (ICML, 2018)

The Kendall and Mallows Kernels for Permutations. - Yunlong Jiao; Jean-Philippe Vert (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Universal Neural Vocoding with Parallel Wavenet. - Yunlong Jiao; Adam Gabrys; Georgi Tinchev; Bartosz Putrycz; Daniel Korzekwa; Viacheslav Klimkov (ICASSP, 2021)

Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows. - Adam Gabrys; Yunlong Jiao; Viacheslav Klimkov; Daniel Korzekwa; Roberto Barra-Chicote (Interspeech, 2021)

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. - Fangyu Liu 001; Yunlong Jiao; Jordan Massiah; Emine Yilmaz; Serhii Havrylov (ICLR, 2022)

PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels. - Arushi Goel; Yunlong Jiao; Jordan Massiah (CoRR, 2022)

Just Mix Once: Worst-group Generalization by Group Interpolation. - Giorgio Giannone; Serhii Havrylov; Jordan Massiah; Emine Yilmaz; Yunlong Jiao (CoRR, 2022)

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. - Yue Feng 002; Yunlong Jiao; Animesh Prasad; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai (ACL (1), 2023)

Rethinking Semi-supervised Learning with Language Models. - Zhengxiang Shi; Francesco Tonolini; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai; Yunlong Jiao (ACL (Findings), 2023)

On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents. - Jordan Massiah; Emine Yilmaz; Yunlong Jiao; Gabriella Kazai (CIKM, 2023)

Robust Weak Supervision with Variational Auto-Encoders. - Francesco Tonolini; Nikolaos Aletras; Yunlong Jiao; Gabriella Kazai (ICML, 2023)