Energy efficiency analysis of multi-hop mobile diffusive molecular communication. - Zhen Cheng 001; Yuchun Tu; Ming Xia; Kaikai Chi (Nano Commun. Networks, 2020)

Sum capacity analysis of mobile broadcast diffusive molecular communication. - Zhen Cheng 001; Yuchun Tu; Ming Xia; Kaikai Chi (Nano Commun. Networks, 2020)

Amplify-and-forward relaying in mobile multi-hop molecular communication via diffusion. - Zhen Cheng 001; Yuchun Tu; Jun Yan; Yanjing Lei (Nano Commun. Networks, 2021)

Research on Graphical Modeling and Simulation Method of Control System Based on Python. - Yongxuan Xie; Xiao Song 001; Yuchun Tu; Yong Cui 002; Junhua Zhou; Yanjun Zhai (AsiaSim (1), 2022)

Optimizations for Mobile MIMO Relay Molecular Communication via Diffusion with Network Coding. - Zhen Cheng; Jie Sun; Jun Yan; Yuchun Tu (KSII Trans. Internet Inf. Syst., 2022)

Optimization of Decision Thresholds in Two-Way Molecular Communication via Diffusion With Network Coding. - Zhen Cheng 001; Yuchun Tu; Kaikai Chi; Ming Xia (IEEE Trans. Mol. Biol. Multi Scale Commun., 2022)

FedLGN: Federated Lightweight Graph Neural Network for Recommendation. - Yuchun Tu; Xiao Song; Songsong Liu; Yong Li; Kaiqi Gong (AsiaSim, 2024)

Research and Implementation of Digital Twin Modeling and Simulation Platform. - Lingyun Yang; Junfan Zhang; Xiao Song; Qianchuan Zhao; Zhe Han; Yuchun Tu; Yongxuan Xie; Yuanyuan Hu (AsiaSim, 2024)

GAPBAS: Genetic algorithm-based privacy budget allocation strategy in differential privacy K-means clustering algorithm. - Yong Li; Xiao Song; Yuchun Tu; Ming Liu (Comput. Secur., 2024)

Using graph neural network to conduct supplier recommendation based on large-scale supply chain. - Yuchun Tu; Wenxin Li 008; Xiao Song 001; Kaiqi Gong; Lu Liu; Yunhao Qin; Songsong Liu; Ming Liu (Int. J. Prod. Res., 2024)

GraphDRL: GNN-based deep reinforcement learning for interactive recommendation with sparse data. - Wenxin Li 008; Xiao Song 001; Yuchun Tu (Expert Syst. Appl., 2025)

FedAgent: Federated Learning on Non-IID Data via Reinforcement Learning and Knowledge Distillation. - Bingli Sun; Xiao Song 001; Yuchun Tu; Ming Liu (Expert Syst. Appl., 2025)

ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model. - Songsong Liu; Xiao Song 001; Yong Li 008; Kaiqi Gong; Yuchun Tu (Neurocomputing, 2025)

Leveraging community detection for clustered federated learning on Non-IID data: From an information-theoretic perspective. - Bingli Sun; Yuchun Tu; Xiao Song 001 (Future Gener. Comput. Syst., 2026)