HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Electron., 2015)

Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans Autom. Sci. Eng., 2017)

Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2017)

Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2017)

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring. - Jinlin Zhu; Yuan Yao 002; Furong Gao (IEEE Access, 2018)

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song; Furong Gao (Annu. Rev. Control., 2018)

Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IFAC J. Syst. Control., 2018)

Similar Batch Process Monitoring With Orthogonal Subspace Alignment. - Jinlin Zhu; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Batch Process Modeling and Monitoring With Local Outlier Factor. - Jinlin Zhu; Youqing Wang; Donghua Zhou; Furong Gao (IEEE Trans. Control. Syst. Technol., 2019)

Real-time Traffic Incident Detection Using an Autoencoder Model. - Huan Yang; Yu Wang 095; Han Zhao; Jinlin Zhu; Danwei Wang (ITSC, 2020)

AI-GAN: Attack-Inspired Generation of Adversarial Examples. - Tao Bai; Jun Zhao 007; Jinlin Zhu; Shoudong Han; Jiefeng Chen 001; Bo Li 026 (CoRR, 2020)

Dynamic Bayesian network for robust latent variable modeling and fault classification. - Junhua Zheng; Jinlin Zhu; Guangjie Chen; Zhihuan Song; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2020)

Distributed task allocation method based on self-awareness of autonomous robots. - Zaijun Wang; Jinlin Zhu; XiaoPing Guo; YunTing Ma; Zifan Li (J. Supercomput., 2020)

AI-GAN: Attack-Inspired Generation of Adversarial Examples. - Tao Bai; Jun Zhao 007; Jinlin Zhu; Shoudong Han; Jiefeng Chen 001; Bo Li 026; Alex C. Kot (ICIP, 2021)

Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method. - Tao Bai; Jun Zhao 007; Jinlin Zhu; Shoudong Han; Jiefeng Chen 001; Bo Li 026; Alex C. Kot (CoRR, 2021)

Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes. - Jinlin Zhu; Muyun Jiang; Guohao Peng; Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2021)

Dual-Domain-Based Adversarial Defense With Conditional VAE and Bayesian Network. - Jinlin Zhu; Guohao Peng; Danwei Wang (IEEE Trans. Ind. Informatics, 2021)

Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method. - Tao Bai; Jun Zhao 007; Jinlin Zhu; Shoudong Han; Jiefeng Chen 001; Bo Li 026; Alex ChiChung Kot (IEEE Internet Things J., 2022)

Fault Detection and Diagnosis in Industrial Processes with Variational Autoencoder: A Comprehensive Study. - Jinlin Zhu; Muyun Jiang; Zhong Liu (Sensors, 2022)

Process monitoring using recurrent Kalman variational auto-encoder for general complex dynamic processes. - Zheng Zhang; Jinlin Zhu; Shuyu Zhang; Furong Gao (Eng. Appl. Artif. Intell., 2023)

EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics. - Yang Shen; Jinlin Zhu; Zhaohong Deng; Wenwei Lu; Hongchao Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

IMOVNN: incomplete multi-omics data integration variational neural networks for gut microbiome disease prediction and biomarker identification. - Mingyi Hu; Jinlin Zhu; Guohao Peng; Wenwei Lu; Hongchao Wang; Zhenping Xie (Briefings Bioinform., 2023)

A gradual self distillation network with adaptive channel attention for facial expression recognition. - Xin Zhang 079; Jinlin Zhu; Dongjing Wang; Yueyun Wang; Tingting Liang; Hongbo Wang; Yuyu Yin (Appl. Soft Comput., 2024)

Target-Aspect Domain Continual SAR-ATR Based on Task Hard Attention Mechanism. - Jinlin Zhu; Chuan Du; Dandan Guo (IEEE Geosci. Remote. Sens. Lett., 2024)

Environment-Aware Adaptive Reinforcement Learning-Based Routing for Vehicular Ad Hoc Networks. - Yi Jiang; Jinlin Zhu; Kexin Yang (Sensors, 2024)

Collaborative Multiple Players to Address Label Sparsity in Quality Prediction of Batch Processes. - Ling Zhao; Zheng Zhang; Jinlin Zhu; Hongchao Wang; Zhenping Xie (Sensors, 2024)

DMCFMDA: A dual-channel multi-source cross-modal fusion network with contrastive learning for microbe-disease prediction. - Yangxiang Wu; Mingyi Hu; Jinlin Zhu (Biomed. Signal Process. Control., 2025)

From ensemble to knowledge distillation: Improving large-scale food recognition. - Liming Nong; Guohao Peng; Tianyang Xu; Jinlin Zhu (Eng. Appl. Artif. Intell., 2025)

Target-Aspect Domain Continual Learning for SAR Target Recognition. - Hongting Chen; Chuan Du; Jinlin Zhu; Dandan Guo (IEEE Trans. Geosci. Remote. Sens., 2025)

DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts. - Qinghui Weng; Mingyi Hu; Guohao Peng; Jinlin Zhu (BMC Bioinform., 2025)