Mingda Xu

According to our database, Mingda Xu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks.

Hantao Zhang, Weidong Guo, Yuhe Liu, Jiancheng Yang, Sathvik Bhagavan, Danli Shi, Mingda Xu, Pascal Fua

CoRR, May, 2026

Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation.

Boyu Cao, Lekai Qian, Dehan Li, Haoyu Gu, Mingda Xu, Qi Liu

CoRR, April, 2026

Gradient-based Nested Co-Design of Aerodynamic Shape and Control for Winged Robots.

Daniele Affinita, Mingda Xu, Benoît Valentin Gherardi, Pascal Fua

CoRR, March, 2026

Annealed Co-Generation: Disentangling Variables via Progressive Pairwise Modeling.

Hantao Zhang, Jieke Wu, Mingda Xu, Xiao Hu, Yingxuan You, Pascal Fua

CoRR, March, 2026

2025

PhysGen: Physically Grounded 3D Shape Generation for Industrial Design.

Yingxuan You, Chen Zhao, Hantao Zhang, Mingda Xu, Pascal Fua

CoRR, December, 2025

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

Xiaohan Zhang, Sitong Wang, Yushen Yan, Yi Yang, Mingda Xu, Qi Liu

CoRR, June, 2025

Multimodal Deep Learning Based on Ultrasound Images and Clinical Data for Better Ovarian Cancer Diagnosis.

Chang Su, Kuo Miao, Liwei Zhang, Xuemei Yu, Zhiyao Guo, Daoshuang Li, Mingda Xu, Qiming Zhang, Xiaoqiu Dong

J. Imaging Inform. Medicine, 2025

Enhancing Infectious Disease Forecasting via Epidemiology-Informed Adaptive Spatio-Temporal Graph Neural Networks.

Mingda Xu, Yang Liu, Sensen Guo, Yuxin Liu, Chao Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study.

Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Neural Networks for Protein-Protein Interactions - A Short Survey.

Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang

CoRR, 2024

2019

An Adaptive Weighted Multiscale Convolutional Neural Network for Rotating Machinery Fault Diagnosis Under Variable Operating Conditions.

Huihui Qiao, Taiyong Wang, Peng Wang, Lan Zhang, Mingda Xu

IEEE Access, 2019