Task-Oriented Intelligent Networking Architecture for the Space-Air-Ground-Aqua Integrated Network. - Jun Liu 006; Xinqi Du; Jun-Hong Cui; Miao Pan; Debing Wei (IEEE Internet Things J., 2020)

District-Coupled Epidemic Control via Deep Reinforcement Learning. - Xinqi Du; Tianyi Liu; Songwei Zhao; Jiuman Song; Hechang Chen (KSEM (2), 2022)

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. - Songwei Zhao; Jiuman Song; Xinqi Du; Tianyi Liu; Huiling Chen 001; Hechang Chen (KSEM (2), 2022)

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. - Xinqi Du; Hechang Chen; Bo Yang 002; Cheng Long 001; Songwei Zhao (Inf. Sci., 2023)

An Improved Probability Hypothesis Density Filter Based on Variational Bayes for Closely Spaced Multi-Target Tracking. - Xingchen Jiang; Jingjie Gao; Fei Hua 001; Yuhai Gao; Xinqi Du; Wenqian Xu (ICSPCC, 2024)

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. - Sinuo Zhang; Jifeng Hu; Xinqi Du; Zhejian Yang; Yang Yu; Hechang Chen (IJCNN, 2024)

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. - Xinqi Du; Hechang Chen; Yongheng Xing; Philip S. Yu; Lifang He 001 (Expert Syst. Appl., 2024)

A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (Expert Syst. Appl., 2024)

Robust multi-agent reinforcement learning via Bayesian distributional value estimation. - Xinqi Du; Hechang Chen; Che Wang; Yongheng Xing; Jielong Yang; Philip S. Yu; Yi Chang 001; Lifang He 001 (Pattern Recognit., 2024)

Generalized multi-agent competitive reinforcement learning with differential augmentation. - Tianyi Liu; Hechang Chen; Jifeng Hu; Zhejian Yang; Bo Yu 013; Xinqi Du; Yinxiao Miao; Yi Chang 001 (Expert Syst. Appl., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2024)

CCDF-TAP: A Context-Aware Conflict Detection Framework for IoT Trigger-Action Programming With Graph Neural Network. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (IEEE Internet Things J., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (ICDE, 2025)