Jixiong Liu

According to our database, Jixiong Liu authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods.

Jixiong Liu, Yoan Chabot, Raphaël Troncy, Viet-Phi Huynh, Thomas Labbé, Pierre Monnin

J. Web Semant., April, 2023

Semantic Annotations for Tabular Data Using Embeddings: Application to Datasets Indexing and Table Augmentation. (Production d'annotations sémantiques pour des jeux de données tabulaires à partir de plongements pour l'indexation et la recommandation).

Jixiong Liu

PhD thesis, 2023

Des données tabulaires aux graphes de connaissances : état de l'art des méthodes d'interprétations sémantique de tables.

Jixiong Liu, Viet-Phi Huynh, Yoan Chabot, Raphaël Troncy

Proceedings of the 34es Journées francophones d'Ingénierie des Connaissances, 2023

2022

Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation.

Jixiong Liu, Viet-Phi Huynh, Yoan Chabot, Raphaël Troncy

Proceedings of the Semantic Web - ISWC 2022, 2022

From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH.

Viet-Phi Huynh, Yoan Chabot, Thomas Labbé, Jixiong Liu, Raphaël Troncy

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2022

DAGOBAH UI: A New Hope for Semantic Table Interpretation.

Christophe Sarthou-Camy, Guillaume Jourdain, Yoan Chabot, Pierre Monnin, Frédéric Deuzé, Viet-Phi Huynh, Jixiong Liu, Thomas Labbé, Raphaël Troncy

Proceedings of the Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29, 2022

ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation.

Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation Of Tabular Data.

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

A Framework for Automatically Interpreting Tabular Data at Orange.

Yoan Chabot, Frédéric Deuzé, Viet-Phi Huynh, Thomas Labbé, Jixiong Liu, Pierre Monnin, Raphaël Troncy

Proceedings of the ISWC 2021 Posters, 2021

2020

CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation.

Jixiong Liu, Weike Pan, Zhong Ming

Knowl. Based Syst., 2020

<i>k</i>-Reciprocal nearest neighbors algorithm for one-class collaborative filtering.

Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming

Neurocomputing, 2020

DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data.

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Thomas Labbé, Pierre Monnin, Raphaël Troncy

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

DAGOBAH : Un système d'annotation sémantique de données tabulaires indépendant du contexte.

Yoan Chabot, Thomas Labbé, Jixiong Liu, Raphaël Troncy

Proceedings of the IC 2020 : 31es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 31st French Knowledge Engineering Conference), Angers, France, June 29, 2020

2019

DAGOBAH: An End-to-End Context-Free Tabular Data Semantic Annotation System.

Yoan Chabot, Thomas Labbé, Jixiong Liu, Raphaël Troncy

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, 2019

2017

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation.

Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming

Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017