Mingjie Tian

According to our database, Mingjie Tian authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

Guiding ontology translation with hubness-aware translation memory.

Mingjie Tian, Fausto Giunchiglia, Rui Song, Hao Xu

Expert Syst. Appl., 2025

2024

Multi-Task Self-Supervised Learning for Medical Image Segmentation.

Bo Wang, Hang Zhao, Xiongfei Li, Mingjie Tian, Bo Huang, Feiyang Yang

Proceedings of the IEEE International Conference on Acoustics, 2024

Patch-Level Knowledge Distillation and Regularization for Missing Modality Medical Image Segmentation.

Ruilin Wang, Xiongfei Li, Mingjie Tian, Feiyang Yang, Xiaoli Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification.

Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Ontology Translation Through Cross-Lingual Agreement.

Mingjie Tian, Fausto Giunchiglia, Rui Song, Xing Chen, Hao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Ontology Translation from Disentangled Semantic and Language Representations.

Mingjie Tian, Fausto Giunchiglia, Hao Xu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Graph topology enhancement for text classification.

Rui Song, Fausto Giunchiglia, Ke Zhao, Mingjie Tian, Hao Xu

Appl. Intell., 2022

2021

Optimization of Land Resource Information Management System Based on Internet of Things.

Taizheng Chen, Zhun Chen, Mingjie Tian, Xi Wang

Wirel. Commun. Mob. Comput., 2021

2018

Identifying Word Translations in Scientific Literature Based on Labeled Bilingual Topic Model and Co-occurrence Features.

Mingjie Tian, Yahui Zhao, Rongyi Cui

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018