| A batch-wise LSTM-encoder decoder network for batch process monitoring J Ren, D Ni Chemical Engineering Research and Design 164, 102-112, 2020 | 38 | 2020 |
| A real-time monitoring framework for wafer fabrication processes with run-to-run variations J Ren, D Ni IEEE Transactions on Semiconductor Manufacturing 34 (4), 483-492, 2021 | 6 | 2021 |
| A scalable deterministic global optimization algorithm for training optimal decision tree K Hua, J Ren, Y Cao Advances in Neural Information Processing Systems 35, 8347-8359, 2022 | 5 | 2022 |
| Global optimal k-medoids clustering of one million samples J Ren, K Hua, Y Cao Advances in Neural Information Processing Systems 35, 982-994, 2022 | 5 | 2022 |
| Global optimization of k-center clustering M Shi, K Hua, J Ren, Y Cao International Conference on Machine Learning, 19956-19966, 2022 | 3 | 2022 |
| Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation Y Li, Y Wang, Y Chen, Y Lu, K Hua, J Ren, G Mozafari, Q Lu, Y Cao Industrial & Engineering Chemistry Research 61 (24), 8432-8442, 2022 | 3 | 2022 |
| Real-time fault detection system for multiphase plasma etching process using OES, two-step division and change stage alignment method J Ren, D Ni 2019 Chinese Automation Congress (CAC), 599-604, 2019 | 2 | 2019 |
| Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks M Okamoto, J Ren, Q Mao, J Liu, Y Cao IEEE Transactions on Automation Science and Engineering, 2024 | | 2024 |
| A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets J Ren, V Osuna-Enciso, M Okamoto, Q Mao, C Ji, L Cao, K Hua, Y Cao arXiv preprint arXiv:2311.06952, 2023 | | 2023 |
| Global Optimal Explainable Models for Biorefining J Ren, K Hua, H Trajano, Y Cao Computer Aided Chemical Engineering 52, 1339-1346, 2023 | | 2023 |
| A Global Optimization Algorithm for K-Center Clustering of One Billion Samples J Ren, N You, K Hua, C Ji, Y Cao arXiv preprint arXiv:2301.00061, 2022 | | 2022 |
| Approximation of Nonlinear Model Predictive Control Using Mixture Density Networks M Okamoto, J Ren, Q Mao, Y Cao | | |
Yankai CaoAssistant Professor, University of British ColumbiaVerified email at ubc.ca
