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Reparameterizing and dynamically quantizing image features for image generation 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 11
作者:  Sun, Mingzhen;  Wang, Weining;  Zhu, Xinxin;  Liu, Jing
Adobe PDF(3612Kb)  |  收藏  |  浏览/下载：98/9  |  提交时间：2023/12/21
Vector quantization  Variational auto-encoder  Unconditional image generation  Text-to-image generation  Autoregressive generation  
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载：243/160  |  提交时间：2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo;  Giancarlo Fortino
Adobe PDF(7491Kb)  |  收藏  |  浏览/下载：197/125  |  提交时间：2024/01/02
Distributed model predictive control  distributed reinforcement learning  routing decisions  urban road networks  
An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 88-102
作者:  Changbing Tang;  Baosen Yang;  Xiaodong Xie;  Guanrong Chen;  Mohammed A. A. Al-qaness;  Yang Liu
Adobe PDF(2968Kb)  |  收藏  |  浏览/下载：175/131  |  提交时间：2024/01/02
Federated learning (FL)  game theory  incentive mechanism  machine learning  zero-determinant strategy  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载：21/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：18/5  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载：23/7  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
Digital CEOs in Digital Enterprises: Automating, Augmenting, and Parallel in Metaverse/CPSS/TAOs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 820-823
作者:  Juanjuan Li;  Rui Qin;  Sangtian Guan;  Xiao Xue;  Peng Zhu;  Fei-Yue Wang
Adobe PDF(886Kb)  |  收藏  |  浏览/下载：27/9  |  提交时间：2024/03/18
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195
作者:  Xiaolin Tang;  Yuyou Yang;  Teng Liu;  Xianke Lin;  Kai Yang;  Shen Li
Adobe PDF(4905Kb)  |  收藏  |  浏览/下载：185/119  |  提交时间：2024/01/02
Automatic parking  control strategy  parking deviation (APS)  soft actor-critic (SAC)  
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218
作者:  Zeyi Zhang;  Hao Jiang;  Dong Shen;  Samer S. Saab
Adobe PDF(1892Kb)  |  收藏  |  浏览/下载：104/68  |  提交时间：2024/01/02
Data-driven algorithms  incomplete information  iterative learning control  gradient information  unachievable problems