Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters. - Bozhou Chen; Kaixin Zhang; Longshen Ou; Chenmin Ba; Hongzhi Wang 001; Chunnan Wang (CoRR, 2020)

ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence. - Hongzhi Wang 001; Bozhou Chen; Yueyang Xu; Kaixin Zhang; Shengwen Zheng; Shirong Liu (CoRR, 2020)

EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective. - Zhaochong An; Bozhou Chen; Houde Quan; Qihui Lin; Hongzhi Wang 001 (CoRR, 2020)

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results. - Chunnan Wang; Kaixin Zhang; Hongzhi Wang 001; Bozhou Chen (CoRR, 2020)

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search. - Chunnan Wang; Bozhou Chen; Geng Li; Hongzhi Wang 001 (CoRR, 2021)

Differentiable Self-Adaptive Learning Rate. - Bozhou Chen; Hongzhi Wang 001; Chenmin Ba (CoRR, 2022)

ConsciousControlFlow(CCF): Conscious Artificial Intelligence Based on Needs. - Hongzhi Wang 001; Bozhou Chen; Yueyang Xu; Kaixin Zhang; Shengwen Zheng (J. Artif. Intell. Conscious., 2022)

SoftStep relaxation for mining optimal convolution kernel. - Bozhou Chen; Hongzhi Wang 001 (Knowl. Based Syst., 2023)

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search. - Chunnan Wang; Kaixin Zhang; Hongzhi Wang 001; Bozhou Chen (ACM Trans. Knowl. Discov. Data, 2023)

Automated Graph Neural Network Search Under Federated Learning Framework. - Chunnan Wang; Bozhou Chen; Geng Li; Hongzhi Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)