The King-Werner method for solving nonsymmetric algebraic Riccati equation. - Zhengda Huang; Xiangyin Kong; Weidong Hu (Appl. Math. Comput., 2010)

A way of updating the density function for the design of the drum. - Xiangyin Kong; Zhengda Huang (Comput. Math. Appl., 2013)

Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network. - Baoman Wang; Fei Yuan 002; Xiangyin Kong; Lan-Dian Hu; Yu-Dong Cai 001 (Comput. Math. Methods Medicine, 2015)

Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach. - Fei Yuan 002; You Zhou 005; Meng Wang; Jing Yang 009; Kai Wu; Changhong Lu; Xiangyin Kong; Yu-Dong Cai 001 (Comput. Math. Methods Medicine, 2015)

Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method. - You Zhou 005; Tao Huang 004; Guohua Huang; Ning Zhang 005; Xiangyin Kong; Yu-Dong Cai 001 (Neurocomputing, 2016)

Robust Contract Designs: Linear Contracts and Moral Hazard. - Yimin Yu; Xiangyin Kong (Oper. Res., 2020)

Optimal policy for inventory systems with capacity commitment and fixed ordering costs. - Xiangyin Kong; Huihui Wang; Xi Chen 008; Gengzhong Feng (Oper. Res. Lett., 2020)

Latent variable models in the era of industrial big data: Extension and beyond. - Xiangyin Kong; Xiaoyu Jiang; Bingxin Zhang; Jinsong Yuan; Zhiqiang Ge (Annu. Rev. Control., 2022)

Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Deep Learning of Latent Variable Models for Industrial Process Monitoring. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality. - Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge (IEEE CAA J. Autom. Sinica, 2023)

Optimal pricing strategy for content products under competition: Pay-as-you-want or fixed-price? - Hongyu Hou; Feng Wu; Xiangyin Kong (Comput. Ind. Eng., 2023)

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. - Yimeng He; Xiangyin Kong; Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2023)

Jailbreaking in closed two-sided platforms. - Yunhao Liu 002; Gengzhong Feng; Yangyang Sun; Xiangyin Kong (Inf. Manag., 2023)

Adversarial Attacks on Regression Systems via Gradient Optimization. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Why Does Perceived Humanness Predict AI Use Intention? The Mediating Roles of Perceived Values and Perceived Risk. - Tian Xia; Xiangyin Kong; Qiang Mai; Huijing Guo; Xiaoxiao Liu (WHICEB (2), 2024)

Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing. - Yimeng He; Le Yao; Xinmin Zhang; Xiangyin Kong; Zhihuan Song (CoRR, 2024)

Commentary on "Dynamic Incentives in Sales Force Compensation". - Xiangyin Kong; Qi Cheng; Yimin Yu (Mark. Sci., 2024)

Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification. - Xiaoyu Jiang; Xiangyin Kong; Junhua Zheng; Zhiqiang Ge; Xinmin Zhang; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes. - Yimeng He; Xinmin Zhang; Xiangyin Kong; Le Yao; Zhihuan Song (Neurocomputing, 2025)

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives. - Xiaoling Huang; Xiangyin Kong; Yan Yan; Zhiyuan Gao; Zihan Li; Chun Zhang; Kai Jin; Juan Ye (npj Digit. Medicine, 2025)

Advancing Industrial Data Augmentation in AIGC Era: From Foundations to Frontier Applications. - Xiaoyu Jiang; Chen Zheng; Yue Zhuo; Xiangyin Kong; Zhiqiang Ge; Zhihuan Song; Min Xie 001 (IEEE Trans. Instrum. Meas., 2025)

Deep Probabilistic Principal Component Analysis for Process Monitoring. - Xiangyin Kong; Yimeng He; Zhihuan Song; Tong Liu 014; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2025)

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples. - Xiangyin Kong; Xiaoyu Jiang; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Pattern Anal. Mach. Intell., 2025)