A Novel Method for Training Large Scale E-Business SVM Models in a Grid Computing Environment. - Qin Hua; Xu Yan-zi (ICEE, 2010)

Simulation and modeling of radar echo signal. - Qin Hua; Cha Hao; Zhou Mo; Wei You Ping; Song Meng Gang (FSKD, 2012)

TouchPass: towards behavior-irrelevant on-touch user authentication on smartphones leveraging vibrations. - Xiangyu Xu 001; Jiadi Yu; Yingying Chen 001; Qin Hua; Yanmin Zhu 006; Yi-Chao Chen 001; Minglu Li 001 (MobiCom, 2020)

Qore-DL: A QoS-aware joint optimization framework for distributed deep learning training. - Qin Hua; Shiyou Qian; Dingyu Yang; Jianmei Guo; Jian Cao 001; Guangtao Xue; Minglu Li 001 (J. Syst. Archit., 2022)

KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices. - Qin Hua; Dingyu Yang; Shiyou Qian; Hanwen Hu; Jian Cao 001; Guangtao Xue (WWW, 2023)

Bi-GAE: A Bidirectional Generative Auto-Encoder. - Qin Hua; Hanwen Hu; Shiyou Qian; Dingyu Yang; Jian Cao 001 (J. Comput. Sci. Technol., 2023)

Mitigating interference of microservices with a scoring mechanism in large-scale clusters. - Dingyu Yang; Kangpeng Zheng; Shiyou Qian; Qin Hua; Kaixuan Zhang; Jian Cao 001; Guangtao Xue (J. Supercomput., 2025)

Humas: A Heterogeneity- and Upgrade-Aware Microservice Auto-Scaling Framework in Large-Scale Data Centers. - Qin Hua; Dingyu Yang; Shiyou Qian; Jian Cao 001; Guangtao Xue; Minglu Li 001 (IEEE Trans. Computers, 2025)