Network-based analysis revealed significant interactions between risk genes of severe COVID-19 and host genes interacted with SARS-CoV-2 proteins. - Haoxiang Qin; Qidong Shen; Hongyi Zhao; Guozhen Qi; Lei Gao (Briefings Bioinform., 2022)

Spectrum sensing in cognitive radio: A deep learning based model. - Huanlai Xing; Haoxiang Qin; Shouxi Luo; Penglin Dai; Lexi Xu; Xinzhou Cheng (Trans. Emerg. Telecommun. Technol., 2022)

Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem. - Haoxiang Qin; Yuyan Han; Yuting Wang 003; Yiping Liu; Junqing Li 001; Quanke Pan (Knowl. Based Syst., 2022)

Protecting Encrypted Virtual Machines from Nested Page Fault Controlled Channel. - Haoxiang Qin; Zhenyu Song; Weijuan Zhang; Sicong Huang 004; Wentao Yao; Ge Liu; Xiaoqi Jia; Haichao Du (CODASPY, 2023)

Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints. - Haoxiang Qin; Yuyan Han; Qingda Chen; Ling Wang 001; Yuting Wang 003; Junqing Li 001; Yiping Liu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow. - Wenlei Bai; Fanlin Meng; Ming Sun; Haoxiang Qin; Richard Allmendinger 001; Kwang Y. Lee (Appl. Soft Comput., 2024)

A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. - Haoxiang Qin; Wenlei Bai; Yi Xiang; Fangqing Liu; Yuyan Han; Ling Wang 001 (IEEE Trans. Evol. Comput., 2024)

Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints. - Haoxiang Qin; Yi Xiang; Fangqing Liu; Yuyan Han; Yuting Wang 003 (Swarm Evol. Comput., 2025)