LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder Based Attention Mechanism. - Linming Zhang; Wenzhong Li; Zhijie Zhang; Qingning Lu; Ce Hou; Peng Hu; Tong Gui; Sanglu Lu (KSEM, 2021)

Multi-task sequence learning for performance prediction and KPI mining in database management system. - Chen Wan; Wenzhong Li; Wangxiang Ding; Zhijie Zhang; Qingning Lu; Lin Qian; Ji Xu; Jixiang Lu; Rongrong Cao; Baoliu Ye; Sanglu Lu (Inf. Sci., 2021)

Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders. - Qingning Lu; Wenzhong Li; Chuanze Zhu; Yizhou Chen; Yinke Wang; Zhijie Zhang; Linshan Shen; Sanglu Lu (ACML, 2022)

STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks. - Zhijie Zhang; Wenzhong Li; Wangxiang Ding; Linming Zhang; Qingning Lu; Peng Hu; Tong Gui; Sanglu Lu (ACM Trans. Knowl. Discov. Data, 2023)

Pushing to the Limit: An Attention-Based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning. - Yuchu Fang; Wenzhong Li; Yao Zeng; Qingning Lu; Sanglu Lu (J. Comput. Sci. Technol., 2025)