Existence of positive boundary blow-up solutions for quasilinear elliptic equations via sub and supersolutions. - Zuodong Yang; Bing Xu; Mingzhu Wu (Appl. Math. Comput., 2007)

Existence of boundary blow-up solutions for a class of quasilinear elliptic systems with critical case. - Mingzhu Wu; Zuodong Yang (Appl. Math. Comput., 2008)

Site selection in Mount Tianmu Nature Reserve based on the landscape pattern analysis of small watersheds. - Mingzhu Wu; Kun Zhang (Geoinformatics, 2015)

Improving QA Generalization by Concurrent Modeling of Multiple Biases. - Mingzhu Wu; Nafise Sadat Moosavi; Andreas Rücklé; Iryna Gurevych (EMNLP (Findings), 2020)

Coreference Reasoning in Machine Reading Comprehension. - Mingzhu Wu; Nafise Sadat Moosavi; Dan Roth; Iryna Gurevych (ACL/IJCNLP (1), 2021)

Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System. - Mingzhu Wu; Feibo Jiang; Junyan Liu; Yubo Peng (IEEE Access, 2022)

IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network. - Li Dong 009; Feibo Jiang; Xiaolong Li 004; Mingzhu Wu (Expert Syst. Appl., 2022)

DeepBrain: Enabling Fine-Grained Brain-Robot Interaction through Human-Centered Learning of Coarse EEG Signals from Low-Cost Devices. - Di Wu 002; Jinhui Ouyang; Ningyi Dai; Mingzhu Wu; Haodan Tan; Hanhui Deng; Yongmei Fan; Dakuo Wang; Zhanpeng Jin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction. - Jinhui Ouyang; Mingzhu Wu; Xinglin Li; Hanhui Deng; Di Wu 002 (CoRR, 2024)

StyleWe: Towards Style Fusion in Generative Fashion Design with Efficient Federated AI. - Di Wu 002; Mingzhu Wu; Yeye Li; Jianan Jiang; Xinglin Li; Hanhui Deng; Can Liu 003; Yi Li (Proc. ACM Hum. Comput. Interact., 2024)

NeuroBCI: Multi-Brain to Multi-Robot Interaction Through EEG-Adaptive Neural Networks and Semantic Communications. - Jinhui Ouyang; Mingzhu Wu; Xinglin Li; Hanhui Deng; Zhanpeng Jin; Di Wu 002 (IEEE Trans. Mob. Comput., 2024)

FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design. - Mingzhu Wu; Jianan Jiang; Xinglin Li; Hanhui Deng; Di Wu 002 (CoRR, 2025)