Mengjun Wu

According to our database, Mengjun Wu authored at least 9 papers between 2016 and 2025.

Collaborative distances:

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

2025

ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying.

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Mengjun Wu, Weibang Jiang, Zhiwei Guo, Wei Zhang, Rui Liu, Shangen Zhang, Yong Li, Yi Ding, Cuntai Guan

CoRR, September, 2025

LGENet: disentangle anatomy and pathology features for late gadolinium enhancement image segmentation.

Mingjing Yang, Kangwen Yang, Mengjun Wu, Liqin Huang, Wangbin Ding, Lin Pan, Lei Yin

Medical Biol. Eng. Comput., August, 2025

DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications.

Sathya Krishnan Suresh, Mengjun Wu, Tushar Pranav, Engsiong Chng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Performance Evaluation and Application Field Analysis of Precise Point Positioning Based on Different Real-Time Augmentation Information.

Mengjun Wu, Le Wang, Wei Xie, Fan Yue, Bobin Cui

Remote. Sens., April, 2024

DiaSynth - Synthetic Dialogue Generation Framework.

Sathya Krishnan Suresh, Mengjun Wu, Tushar Pranav, Eng Siong Chng

CoRR, 2024

2022

Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network.

Mengjun Wu, Wangbin Ding, Mingjin Yang, Liqin Huang

CoRR, 2022

Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network.

Mengjun Wu, Wangbin Ding, Mingjing Yang, Liqin Huang

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Multi-organ Segmentation Based on 2.5D Semi-supervised Learning.

Hao Chen, Wen Zhang, Xiaochao Yan, Yanbin Chen, Xin Chen, Mengjun Wu, Lin Pan, Shaohua Zheng

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2016

Design of chemical space networks on the basis of Tversky similarity.

Mengjun Wu, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath

J. Comput. Aided Mol. Des., 2016