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ORCIDXiangyin Kong
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2020 – today
- 2024
[j18]Xiangyin Kong, Qi Cheng
, Yimin Yu:
Commentary on "Dynamic Incentives in Sales Force Compensation". Mark. Sci. 43(1): 229-231 (2024)- [j17]Xiaoyu Jiang, Xiangyin Kong, Junhua Zheng, Zhiqiang Ge, Xinmin Zhang, Zhihuan Song:
Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification. IEEE Trans. Ind. Informatics 20(12): 14297-14307 (2024) - [c1]Tian Xia, Xiangyin Kong, Qiang Mai, Huijing Guo, Xiaoxiao Liu:
Why Does Perceived Humanness Predict AI Use Intention? The Mediating Roles of Perceived Values and Perceived Risk. WHICEB (2) 2024: 84-94 - [i2]Yimeng He, Le Yao, Xinmin Zhang, Xiangyin Kong, Zhihuan Song:
Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing. CoRR abs/2407.05954 (2024) - 2023
- [j16]Hongyu Hou, Feng Wu, Xiangyin Kong:
Optimal pricing strategy for content products under competition: Pay-as-you-want or fixed-price? Comput. Ind. Eng. 181: 109298 (2023) - [j15]Yunhao Liu, Gengzhong Feng, Yangyang Sun, Xiangyin Kong:
Jailbreaking in closed two-sided platforms. Inf. Manag. 60(8): 103859 (2023) - [j14]Xiaoyu Jiang, Xiangyin Kong, Zhiqiang Ge:
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality. IEEE CAA J. Autom. Sinica 10(6): 1445-1461 (2023) - [j13]Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge:
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. IEEE Trans. Ind. Informatics 19(8): 8817-8828 (2023) - [j12]Xiangyin Kong, Zhiqiang Ge:
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8923-8937 (2023) - [j11]Xiangyin Kong, Zhiqiang Ge:
Adversarial Attacks on Regression Systems via Gradient Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7827-7839 (2023) - 2022
- [j10]Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge:
Latent variable models in the era of industrial big data: Extension and beyond. Annu. Rev. Control. 54: 167-199 (2022) - [j9]Xiangyin Kong, Zhiqiang Ge:
Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output. IEEE Trans. Ind. Informatics 18(4): 2443-2451 (2022) - [j8]Xiangyin Kong, Zhiqiang Ge:
Deep Learning of Latent Variable Models for Industrial Process Monitoring. IEEE Trans. Ind. Informatics 18(10): 6778-6788 (2022) - [i1]Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge:
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond. CoRR abs/2208.10847 (2022) - 2020
- [j7]Yimin Yu, Xiangyin Kong:
Robust Contract Designs: Linear Contracts and Moral Hazard. Oper. Res. 68(5): 1457-1473 (2020) - [j6]Xiangyin Kong, Huihui Wang, Xi Chen, Gengzhong Feng:
Optimal policy for inventory systems with capacity commitment and fixed ordering costs. Oper. Res. Lett. 48(1): 9-17 (2020)
2010 – 2019
- 2016
- [j5]You Zhou, Tao Huang, Guohua Huang, Ning Zhang, Xiangyin Kong, Yu-Dong Cai:
Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method. Neurocomputing 217: 53-62 (2016) - 2015
- [j4]Fei Yuan, You Zhou, Meng Wang, Jing Yang, Kai Wu, Changhong Lu, Xiangyin Kong, Yu-Dong Cai:
Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach. Comput. Math. Methods Medicine 2015: 462363:1-462363:12 (2015) - [j3]Baoman Wang, Fei Yuan, Xiangyin Kong, Lan-Dian Hu, Yu-Dong Cai:
Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network. Comput. Math. Methods Medicine 2015: 715639:1-715639:11 (2015) - 2013
- [j2]Xiangyin Kong, Zhengda Huang:
A way of updating the density function for the design of the drum. Comput. Math. Appl. 66(1): 62-80 (2013) - 2010
- [j1]Zhengda Huang, Xiangyin Kong, Weidong Hu:
The King-Werner method for solving nonsymmetric algebraic Riccati equation. Appl. Math. Comput. 216(6): 1790-1804 (2010)
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