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| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:26/9  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150 作者: Qian Hu; Jiayi Ma; Yuan Gao; Junjun Jiang; Yixuan Yuan Adobe PDF(10937Kb)  |  收藏  |  浏览/下载:11/1  |  提交时间:2024/04/10 Compressive imaging deep unfolding network hyperspectral image |
| Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126 作者: Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing-Long Han Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:9/1  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:37/13  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |
| Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1192-1208 作者: Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu; Yilong Yin; Wenguan Wang Adobe PDF(42794Kb)  |  收藏  |  浏览/下载:77/23  |  提交时间:2023/04/26 Embedding learning generative model normalizing flows video instance segmentation (VIS) |
| Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247 作者: Hongyu Ding; Yuanze Tang; Qing Wu; Bo Wang; Chunlin Chen; Zhi Wang Adobe PDF(5205Kb)  |  收藏  |  浏览/下载:83/31  |  提交时间:2023/10/31 Dynamic environments goal-conditioned reinforcement learning magnetic field reward shaping |
| Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1905-1917 作者: Tangyike Zhang; Junxiang Zhan; Jiamin Shi; Jingmin Xin; Nanning Zheng Adobe PDF(2815Kb)  |  收藏  |  浏览/下载:128/58  |  提交时间:2023/09/07 Autonomous vehicles decision-making driving behavior human-like driving |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387 作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci Adobe PDF(17725Kb)  |  收藏  |  浏览/下载:85/28  |  提交时间:2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| Local-to-Global Causal Reasoning for Cross-Document Relation Extraction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1608-1621 作者: Haoran Wu; Xiuyi Chen; Zefa Hu; Jing Shi; Shuang Xu; Bo Xu Adobe PDF(2465Kb)  |  收藏  |  浏览/下载:100/28  |  提交时间:2023/06/14 Causal reasoning cross document graph reasoning relation extraction (RE) |
| Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406 作者: Fanghui Bi; Xin Luo; Bo Shen; Hongli Dong; Zidong Wang Adobe PDF(2741Kb)  |  收藏  |  浏览/下载:114/47  |  提交时间:2023/05/29 Data science high-dimensional and incomplete data knowledge acquisition industrial application nonnegative latent factor analysis (NLFA) proximal alternating direction method of multipliers representation learning |