Artificial Intelligence and Machine Learning in Cybersecurity: Applications, Challenges, and Opportunities for MIS Academics. - Ravi Sen; Gregory R. Heim; Qilong Zhu (Commun. Assoc. Inf. Syst., 2022)

UPTRA: An Ultra-Parameterized Temporal CGRA Modeling and Optimization. - Yuan Dai; Yunhui Qiu; Qilong Zhu; Jingyuan Li 003; Wenbo Yin; Lingli Wang (FCCM, 2023)

E2-ACE: An Energy-Efficient Reconfigurable Crypto-Accelerator with Agile End-to-End Toolchain. - Yuhang Cao; Yunhui Qiu; Xuchen Gao; Qilong Zhu; Wenbo Yin; Lingli Wang (ICFPT, 2023)

A Dynamic Partial Reconfigurable CGRA Framework for Multi-Kernel Applications. - Qilong Zhu; Yuhang Cao; Yunhui Qiu; Xuchen Gao; Wenbo Yin; Lingli Wang (ICFPT, 2023)

THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE. - Jingyuan Li 003; Yunhui Qiu; Guowei Zhu; Qilong Zhu; Wenbo Yin; Lingli Wang (ISCAS, 2023)

An efficient RRT-based motion planning algorithm for autonomous underwater vehicles under cylindrical sampling constraints. - Fujie Yu; Huaqing Shang; Qilong Zhu; Hansheng Zhang; Yuan Chen (Auton. Robots, 2023)

HETA: A Heterogeneous Temporal CGRA Modeling and Design Space Exploration via Bayesian Optimization. - Yuan Dai; Jingyuan Li 003; Qilong Zhu; Yunhui Qiu; Yihan Hu 003; Wenbo Yin; Lingli Wang (IEEE Trans. Very Large Scale Integr. Syst., 2024)