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Jichao Chen
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2020 – today
- 2023
- [c3]Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo:
Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. GLOBECOM (Workshops) 2023: 818-823 - [i1]Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo:
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. CoRR abs/2306.02029 (2023) - 2021
- [j5]Jichao Chen, Guang-Bin Huang:
Dual distance adaptive multiview clustering. Neurocomputing 441: 311-322 (2021) - [j4]Yijie Zeng, Jichao Chen, Guang-Bin Huang:
Slice-Based Online Convolutional Dictionary Learning. IEEE Trans. Cybern. 51(10): 5116-5129 (2021) - 2020
- [j3]Jichao Chen, Yijie Zeng, Yue Li, Guang-Bin Huang:
Unsupervised feature selection based extreme learning machine for clustering. Neurocomputing 386: 208-220 (2020) - [j2]Yijie Zeng, Jichao Chen, Yue Li, Yuanyuan Qing, Guang-Bin Huang:
Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM. Neurocomputing 401: 224-235 (2020) - [j1]Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang:
ELM embedded discriminative dictionary learning for image classification. Neural Networks 123: 331-342 (2020)
2010 – 2019
- 2018
- [c2]Yijie Zeng, Jichao Chen, Guang-Bin Huang:
Data Driven Convolutional Sparse Coding for Visual Recognition. ICASSP 2018: 2736-2740 - [c1]Jichao Chen, Yijie Zeng, Siqi Wang, Soh Ling Min, Guang-Bin Huang:
Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification. IJCNN 2018: 1-7
Coauthor Index
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