Applying combinatorial test data generation to big data applications. - Nan Li 008; Yu Lei 001; Haider Riaz Khan; Jingshu Liu; Yun Guo (ASE, 2016)

Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms. - Jingshu Liu; Emmanuel Morin; Sebastián Peña Saldarriaga (COLING, 2018)

Deep EHR: Chronic Disease Prediction Using Medical Notes. - Jingshu Liu; Zachariah Zhang; Narges Razavian (MLHC, 2018)

Alignement de termes de longueur variable en corpus comparables spécialisés (Alignment of variable length terms in specialized comparable corpora). - Jingshu Liu; Emmanuel Morin; Sebastián Peña Saldarriaga (CORIA-TALN-RJC (TALN), 2018)

Efficient preference clustering via random fourier features. - Jingshu Liu; Li Wang; Jinglei Liu (Big Data Min. Anal., 2019)

An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation. - Jingshu Liu; Yuan Li (CoRR, 2019)

BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining. - Zachariah Zhang; Jingshu Liu; Narges Razavian (ClinicalNLP@EMNLP, 2020)

A Unified and Unsupervised Framework for Bilingual Phrase Alignment on Specialized Comparable Corpora. - Jingshu Liu; Emmanuel Morin; Sebastián Peña Saldarriaga; Joseph Lark (ECAI, 2020)

Visual Servoing with Deep Learning and Data Augmentation for Robotic Manipulation. - Jingshu Liu; Yuan Li (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Unsupervised cross-lingual representation modeling for variable length phrases. (Apprentissage de représentations cross-lingue d'expressions de longueur variable). - Jingshu Liu (2020)

Lingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task. - Melissa Ailem; Jingshu Liu; Raheel Qader (WMT@EMNLP, 2021)

Machine learning-based prediction of survival prognosis in cervical cancer. - Dongyan Ding; Tingyuan Lang; Dongling Zou; Jiawei Tan; Jia Chen; Lei Zhou; Dong Wang 024; Rong Li; Yunzhe Li 001; Jingshu Liu; Cui Ma; Qi Zhou (BMC Bioinform., 2021)

A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design. - Jingshu Liu; Patricia J. Allen; Luke Benz; Daniel Blickstein; Evon Okidi; Xiao Shi (CoRR, 2021)

Encouraging Neural Machine Translation to Satisfy Terminology Constraints. - Melissa Ailem; Jingshu Liu; Raheel Qader (TALN-RECITAL, 2022)

Lingua Custodia's Participation at the WMT 2022 Word-Level Auto-completion Shared Task. - Melissa Ailem; Jingshu Liu; Jean-Gabriel Barthelemy; Raheel Qader (WMT, 2022)

Lingua Custodia's Participation at the WMT 2023 Terminology Shared Task. - Jingshu Liu; Mariam Nakhlé; Gaëtan Caillout; Raheel Qader (WMT, 2023)

Attack resilient strategy for event-triggered distributed control scheme of multi-energy systems. - Jinglu Liu 001; Chen Wang; Jingshu Liu; Pengfei Xie (J. Frankl. Inst., 2023)

From unified phrase representation to bilingual phrase alignment in an unsupervised manner. - Jingshu Liu; Emmanuel Morin; Sebastián Peña Saldarriaga; Joseph Lark (Nat. Lang. Eng., 2023)

Améliorer la traduction au niveau du document grâce au sur-echantillage négatif et au masquage ciblé. - Gaëtan Caillaut; Mariam Nakhlé; Jingshu Liu; Raheel Qader (TALN (1), 2024)

Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task. - Gaëtan Caillaut; Mariam Nakhlé; Raheel Qader; Jingshu Liu; Jean-Gabriel Barthelemy (WMT, 2024)

Large Language Model Adaptation for Financial Sentiment Analysis. - Pau Rodriguez Inserte; Mariam Nakhlé; Raheel Qader; Gaëtan Caillaut; Jingshu Liu (CoRR, 2024)