Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes. - Jie Bai; Li Jia 001; Shaomin Liu; Ziwei Xu 002; Guangcheng Hu; Mingjia Zhu; Lisheng Song (IEEE Geosci. Remote. Sens. Lett., 2015)

Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain. - Eric Ke Wang; Zicong Chen; Mingjia Zhu; Siu-Ming Yiu; Chien-Ming Chen 001; Mohammad Mehedi Hassan; Stefano Izzo; Giancarlo Fortino (IEEE Trans. Ind. Informatics, 2023)

Hybrid strategy in multiperiod mean-variance framework. - Xiangyu Cui; Duan Li 002; Yun Shi; Mingjia Zhu (Optim. Lett., 2023)

Score-Based Counterfactual Generation for Interpretable Medical Image Classification and Lesion Localization. - Eric Ke Wang; Zicong Chen; Mingjia Zhu; Zhetao Li; Jian Weng 001; Tianlong Gu (IEEE Trans. Medical Imaging, 2024)

A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability. - Eric Ke Wang; Mingjia Zhu; Zicong Chen; Jian Weng 001; Ming Li 049; Siu-Ming Yiu; Weiping Ding 001; Tianlong Gu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Using Causal Inference to Explore Government Policy Impact on Computer Usage. - Mingjia Zhu; Lechuan Wang; Julien Sebot; Bijan Arbab; Babak Salimi; Alexander Cloninger (CoRR, 2025)

SeqNovo: De Novo Peptide Sequencing Prediction in IoMT via Seq2Seq. - Eric Ke Wang; Mingjia Zhu; Wadii Boulila; Maha Driss; Thippa Reddy Gadekallu; Chien-Ming Chen 001; Lei Wang 005; Saru Kumari; Siu-Ming Yiu (IEEE J. Biomed. Health Informatics, 2025)