Lock, Linear Lambda-Paramodulation in Operator Fuzzy Logic. - Xuhua Liu (IJCAI, 1989)

lambda-Resolution and interpretation of -implication in fuzzy operator logic. - Xuhua Liu; Kwang-Ya Fang; Jeffrey J. P. Tsai; Thomas J. Weigert (Inf. Sci., 1991)

Reasoning under uncertainty in fuzzy operator logic. - Jeffrey J. P. Tsai; Thomas J. Weigert; Xuhua Liu (IEEE Trans. Syst. Man Cybern., 1991)

A Computational Theory of Knowledge Discovery and Revision. - Aizhong Li; Xuhua Liu (SEKE, 1993)

Fuzzy Operator Logic and Fuzzy Resolution. - Thomas J. Weigert; Jeffrey J. P. Tsai; Xuhua Liu (J. Autom. Reason., 1993)

Generalized resolution and NC-resolution. - Xuhua Liu; Jigui Sun (J. Comput. Sci. Technol., 1994)

The Rationality and Decidability of Fuzzy Implications. - Xiaochun Cheng; Yunfei Jiang; Xuhua Liu (IJCAI, 1995)

The global properties of valid formulas in modal logic K. - Jigui Sun; Xiaochun Cheng; Xuhua Liu (J. Comput. Sci. Technol., 1996)

Local Neural Networks of Space-Time Predicting Modeling for Lattice Data in GIS. - Haiqi Wang; Jinfeng Wang 001; Xuhua Liu (ISNN (2), 2006)

Testing Homogeneity of Inverse Gaussian Scale Parameters Based on Generalized Likelihood Ratio. - Xuhua Liu; Daojiang He (Commun. Stat. Simul. Comput., 2013)

Near-infrared spectrum discriminant analysis based on information extraction by using the elastic net. - Xuhua Liu; Wanhui Chen; Yi Zheng; Luda Zhang; Xiongkui He; Shungeng Min (ICNC, 2015)

Least squares generalized inferences in unbalanced two-component normal mixed linear model. - Xuhua Liu; Xingzhong Xu; Jan Hannig (Comput. Stat., 2016)

Multiscale method based on spline regression for comparing multiple nonparametric curves. - Na Li; Xuhua Liu (ICNC-FSKD, 2017)

A new generalized confidence interval for the among-group variance in the heteroscedastic one-way random effects model. - Xuhua Liu; Na Li; Yuqin Hu (Commun. Stat. Simul. Comput., 2017)

Generalized fiducial inference in the multiple regression model with measurement errors. - Liang Yan; Xiaofang Dong; Xuhua Liu; Xingzhong Xu (Commun. Stat. Simul. Comput., 2020)

A rough margin-based multi-task ν-twin support vector machine for pattern classification. - Ran An; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2021)

Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification. - Ting Wang; Yitian Xu; Xuhua Liu (Appl. Intell., 2023)

CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images. - Hang Yang; Liyang Wang; Yitian Xu; Xuhua Liu (Int. J. Mach. Learn. Cybern., 2023)

A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution. - Yuxin Li; Xuhua Liu; Xueyan Jia; Tao Jiang; Jianghao Wu 005; Qianlong Zhang; Junhuai Li; Xiangning Li; Anan Li (Bioinform., 2023)

Multi-task twin bounded support vector machine and its safe screening rule. - Ran An; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2023)

Cross-Domain Few-Shot Fine-Grained Classification Based on Local-Global Semantic Consistency and Earth Mover's Distance. - Tong Chen; Jianming Liu; Haitao Wei; Xuhua Liu; Chunyang Li (ICIC (5), 2024)

Research on the Effects of Voltage Support Functions on Islanding Detection Effectiveness of Distributed Energy Resources. - Yuyang Liu; Te Li; Xuhua Liu; Shuliang Zhu; Xiaojie Shi; Lei Lin (IECON, 2024)

PRIS: Practical robust invertible network for image steganography. - Hang Yang; Yitian Xu; Xuhua Liu; Xiaodong Ma (Eng. Appl. Artif. Intell., 2024)

Multiple instance learning from similarity-confidence bags. - Xuan Zhang; Yitian Xu; Xuhua Liu (Pattern Recognit., 2024)

Multiple instance learning with noisy labels based on symmetry loss. - Xuan Zhang; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2025)

DKiS: Decay weight invertible image steganography with private key. - Hang Yang; Yitian Xu; Xuhua Liu (Neural Networks, 2025)