Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection. - Shuxin Qin; Jing Zhu; Dan Wang; Liang Ou; Hongxin Gui; Gaofeng Tao (IEEE Big Data, 2022)

Towards Network Dynamics: Adaptive Buffer Management with Deep Reinforcement Learning. - Jing Zhu; Dan Wang; Shuxin Qin; Gaofeng Tao; Hongxin Gui; Fang Li; Liang Ou (GLOBECOM, 2022)

Memory-Augmented U-Transformer For Multivariate Time Series Anomaly Detection. - Shuxin Qin; Yongcan Luo; Gaofeng Tao (ICASSP, 2023)

Multiview Graph Contrastive Learning for Multivariate Time-Series Anomaly Detection in IoT. - Shuxin Qin; Lin Chen; Yongcan Luo; Gaofeng Tao (IEEE Internet Things J., 2023)

Intent-Based Multi-Cloud Storage Management Powered by a Fine-Tuned Large Language Model. - Jingya Zheng; Gaofeng Tao; Shuxin Qin; Dan Wang; Zhongjun Ma (IEEE Access, 2025)

Anomaly Detection on Attributed Networks via Multiview and Multiscale Contrastive Learning. - Shuxin Qin; Yongcan Luo; Jing Zhu; Gaofeng Tao; Jingya Zheng; Zhongjun Ma (IEEE Trans. Comput. Soc. Syst., 2025)

Bilevel Optimization for Provisioning Heterogeneous Traffic in Deterministic Networks. - Jing Zhu; Dan Wang; Jiao Xing; Shuxin Qin; Gaofeng Tao; Pingping Chen; Zuqing Zhu (IEEE Trans. Netw. Serv. Manag., 2025)